chapter

Long-Term Interaction with Relational SIAs

Authors:

Jacqueline M. Kory-Westlund,

Hae Won Park,

Ishaan Grover,

Cynthia BreazealAuthors Info & Claims

The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application

October 2022

Pages 195 - 260

https://doi.org/10.1145/3563659.3563667

Published: 03 November 2022 Publication History

Get Access

References

[1]

E. K. Ackermann. 2005. Playthings that do things: A young kid’s “incredibles”! In Proceedings of the 2005 Conference on Interaction Design and Children, IDC’05. ACM, 1–8. ISBN 978-1-59593-096-5.

Digital Library

Google Scholar

[2]

M. D. S. Ainsworth. 1969. Object relations, dependency, and attachment: A theoretical review of the infant-mother relationship. Child Dev. 40, 4, 969–1025. ISSN 0009-3920.

Crossref

Google Scholar

[3]

M. D. S. Ainsworth and S. M. Bell. 1970. Attachment, exploration, and separation: Illustrated by the behavior of one-year-olds in a strange situation. Child Dev. 41, 1, 49–67. ISSN 0009-3920.

Crossref

Google Scholar

[4]

S. Ali, T. Moroso, and C. Breazeal. 2019. Can children learn creativity from a social robot? In Proceedings of the 2019 on Creativity and Cognition, C&C’19. ACM, 359–368. ISBN 978-1-4503-5917-7.

Digital Library

Google Scholar

[5]

C. Anderson, D. Keltner, and O. P. John. 2003. Emotional convergence between people over time. J. Pers. Soc. Psychol. 84, 5, 1054–1068. ISSN 1939-1315 0022-3514.

Crossref

Google Scholar

[6]

B. Arnold. 2010. Digital handcuffs or electronic nannies: Children, privacy and emerging surveillance technologies. Paper presented at Watch this Space: Children, Young People and Privacy Conference, Melbourne, May 21, 2010.

Google Scholar

[7]

R. Aylett. 2022. Interactive narrative and story-telling. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 463–491.

Digital Library

Google Scholar

[8]

M. P. Aylett, L. Clark, B. R. Cowan, and I. Torre. 2021. Building and designing expressive speech synthesis. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 173–211.

Digital Library

Google Scholar

[9]

J. Bailenson, K. Swinth, C. Hoyt, S. Persky, A. Dimov, and J. Blascovich. 2005. The independent and interactive effects of embodied-agent appearance and behavior on self-report, cognitive, and behavioral markers of copresence in immersive virtual environments. Presence: Teleoperators Virtual Environ. 14, 4, 379–393. ISSN 1054-7460.

Digital Library

Google Scholar

[10]

E. I. Barakova, P. Bajracharya, M. Willemsen, T. Lourens, and B. Huskens. 2015. Long-term LEGO therapy with humanoid robot for children with ASD. Expert Syst. 32, 6, 698–709. ISSN 1468-0394.

Digital Library

Google Scholar

[11]

B. Bartlett, V. Estivill-Castro, and S. Seymon. 2004. Dogs or robots: Why do children see them as robotic pets rather than canine machines? In Proceedings of the Fifth Conference on Australasian User Interface, AUIC’04, Vol. 28. Australian Computer Society, Darlinghurst, Australia, 7–14.

Google Scholar

[12]

C. Bartneck, D. Kulić, E. Croft, and S. Zoghbi. 2009. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. Int. J. Soc. Robot. 1, 1, 71–81.

Crossref

Google Scholar

[13]

A. Batliner, S. Steidl, and E. Noth. 2011. Associating children’s non-verbal and verbal behaviour: Body movements, emotions, and laughter in a human–robot interaction. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 5828–5831. ISBN 978-1-4577-0538-0.

Crossref

Google Scholar

[14]

P. Baxter, J. Kennedy, E. Senft, S. Lemaignan, and T. Belpaeme. 2016. From characterising three years of HRI to methodology and reporting recommendations. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction, HRI’16. IEEE, 391–398. ISBN 978-1-4673-8370-7.

Crossref

Google Scholar

[15]

P. Baxter, E. Ashurst, R. Read, J. Kennedy, and T. Belpaeme. 2017. Robot education peers in a situated primary school study: Personalisation promotes child learning. PLoS One 12, 5, e0178126–e0178126. ISSN 1932-6203.

Crossref

Google Scholar

[16]

L. Bell, J. Gustafson, and M. Heldner. 2003. Prosodic adaptation in human–computer interaction. In Proceedings of ICPHS, Vol. 3, 833–836.

Google Scholar

[17]

T. Belpaeme, J. Kennedy, A. Ramachandran, B. Scassellati, and F. Tanaka. 2018. Social robots for education: A review. Sci. Robot. 3, 21, eaat5954. ISSN 2470-9476.

Crossref

Google Scholar

[18]

R. Bemelmans, G. J. Gelderblom, P. Jonker, and L. de Witte. 2015. Effectiveness of robot Paro in intramural psychogeriatric care: A multicenter quasi-experimental study. J. Am. Med. Dir. Assoc. 16, 11, 946–950. ISSN 1525-8610.

Crossref

Google Scholar

[19]

F. Bentley, C. Luvogt, M. Silverman, R. Wirasinghe, B. White, and D. Lottridge. 2018. Understanding the long-term use of smart speaker assistants. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2, 3.

Digital Library

Google Scholar

[20]

S. Bernardini, K. Porayska-Pomsta, and T. J. Smith. 2014. ECHOES: An intelligent serious game for fostering social communication in children with autism. Inf. Sci. 264, 41–60. ISSN 0020-0255.

Digital Library

Google Scholar

[21]

E. Berscheid and H. T. Reis. 1998. Attraction and close relationships. In D. T. Gilbert, S. T. Fiske, and G. Lindzey (Eds.), The Handbook of Social Psychology, Vols. 1–2 (4th. ed.). McGraw-Hill, New York, 193–281. ISBN 978-0-19-521376-8.

Google Scholar

[22]

T. W. Bickmore. 2003. Relational Agents: Effecting Change through Human–Computer Relationships. Thesis. Massachusetts Institute of Technology.

Google Scholar

[23]

T. Bickmore. 2022. Health-related applications of socially interactive agents. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 403–435.

Digital Library

Google Scholar

[24]

T. Bickmore and J. Cassell. 2001. Relational Agents: A model and implementation of building user trust. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’01. ACM, 396–403. ISBN 978-1-58113-327-1.

Digital Library

Google Scholar

[25]

T. W. Bickmore and R. W. Picard. 2005. Establishing and maintaining long-term human–computer relationships. ACM Trans. Comput.-Hum. Interact. 12, 2, 293–327. ISSN 1073-0516.

Digital Library

Google Scholar

[26]

T. Bickmore and D. Schulman. 2009. A virtual laboratory for studying long-term relationships between humans and virtual agents. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, Vol. 1. International Foundation for Autonomous Agents and Multiagent Systems, 297–304.

Google Scholar

[27]

T. Bickmore, A. Gruber, and R. Picard. 2005. Establishing the computer–patient working alliance in automated health behavior change interventions. Patient. Educ. Couns. 59, 1, 21–30. ISSN 0738-3991.

Crossref

Google Scholar

[28]

T. Bickmore, D. Schulman, and L. Yin. 2010. Maintaining engagement in long-term interventions with relational agents. Appl. Artif. Intell. 24, 6, 648–666.

Digital Library

Google Scholar

[29]

T. W. Bickmore, R. A. Silliman, K. Nelson, D. M. Cheng, M. Winter, L. Henault, and M. K. Paasche-Orlow. 2013. A randomized controlled trial of an automated exercise coach for older adults. J. Am. Geriatr. Soc. 61, 10, 1676–1683.

Crossref

Google Scholar

[30]

T. Bickmore, H. Trinh, R. Asadi, and S. Olafsson. 2018. Safety first: Conversational agents for health care. In R. J. Moore, M. H. Szymanski, R. Arar, and G.-J. Ren (Eds.), Studies in Conversational UX Design, Human–Computer Interaction Series. Springer, Cham, 33–57. ISBN 978-3-319-95579-7.

Crossref

Google Scholar

[31]

F. Biocca, C. Harms, and J. Burgoon. 2003. Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoperators Virtual Environ. 12, 5, 456–480. ISSN 1054-7460.

Digital Library

Google Scholar

[32]

K. P. Bobicz and D. C. S. Richard. 2003. The virtual therapist: Behavior therapy in a digital age. Behav. Ther. 26, 3, 265–270. ISSN 0278-8403.

Google Scholar

[33]

C. F. Bove, J. Sobal, and B. S. Rauschenbach. 2003. Food choices among newly married couples: Convergence, conflict, individualism, and projects. Appetite 40, 1, 25–41. ISSN 0195-6663.

Crossref

Google Scholar

[34]

J. Bowlby. 1958. The nature of the child’s tie to his mother. Int. J. Psychoanal. 39, 350–373.

Crossref

Google Scholar

[35]

C. Breazeal. 2002. Regulation and entrainment in human–robot interaction. Int. J. Robot. Res. 21, 10–11, 883–902. ISSN 0278-3649, 1741-3176.

Digital Library

Google Scholar

[36]

C. Breazeal, N. DePalma, J. Orkin, S. Chernova, and M. Jung. 2013. Crowdsourcing human–robot interaction: new methods and system evaluation in a public environment. J. Hum.–Robot Interact. 2, 1, 82–111.

Digital Library

Google Scholar

[37]

C. Breazeal, P. L. Harris, D. DeSteno, J. M. Kory-Westlund, L. Dickens, and S. Jeong. 2016. Young children treat robots as informants. Top Cogn. Sci. 1–11. ISSN 1756-8765.

Crossref

Google Scholar

[38]

C. Breazeal, A. K. Ostrowski, N. Singh, and H. Park. 2019. Designing social robots for older adults. Natl Acad Eng Bridge 49, 22–31. https://www.nae.edu/Publications/Bridge/205212/208332.aspx. (16 2019).

Google Scholar

[39]

S. S. Brehm. 1992. Intimate Relationships (2nd. ed.), Vol. xviii, The McGraw-Hill Series in Social Psychology. McGraw-Hill Book Company, New York. ISBN 978-0-07-007443-9.

Google Scholar

[40]

I. Bretherton. 1992. The origins of attachment theory: John Bowlby and Mary Ainsworth. Dev. Psychol. 28, 5, 759–775. ISSN 1939-0599(Electronic); 0012-1649(Print).

Crossref

Google Scholar

[41]

E. Broadbent, B. MacDonald, L. Jago, M. Juergens, and O. Mazharullah. 2007. Human reactions to good and bad robots. In 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 3703–3708.

Crossref

Google Scholar

[42]

J. Broekens. 2021. Emotion. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 349–384.

Digital Library

Google Scholar

[43]

J. K. Burgoon and J. L. Hale. 1984. The fundamental topoi of relational communication. Commun. Monogr. 51, 3, 193–214. ISSN 1479-5787 0363-7751.

Crossref

Google Scholar

[44]

W. Burleson and R. W. Picard. 2007. Gender-specific approaches to developing emotionally intelligent learning companions. IEEE Intell. Syst. 22, 4, 62–69.

Digital Library

Google Scholar

[45]

R. Calo. 2010. Robots and privacy. In P. Lin, G. Bekey, and K. Abney (Eds.), Robot Ethics: The Ethical and Social Implications of Robotics. MIT Press, Cambridge, MA, 187–201.

Google Scholar

[46]

D. J. Canary and L. Stafford. 1994. Maintaining relationships through strategic and routine interaction. In D. J. Canary and L. Stafford (Eds.), Communication and Relational Maintenance. Academic Press, 3–22.

Google Scholar

[47]

J. Cassell. 2022. Socially interactive agents as peers. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 331–365.

Digital Library

Google Scholar

[48]

J. Cassell and T. Bickmore. 2000. External manifestations of trustworthiness in the interface. Commun. ACM 43, 12, 50–56. ISSN 0001-0782.

Digital Library

Google Scholar

[49]

J. Cassell, A. Gill, and P. Tepper. 2007a. Coordination in conversation and rapport. In Proceedings of the Workshop on Embodied Language Processing. Association for Computational Linguistics, 41–50.

Google Scholar

[50]

J. Cassell, A. Tartaro, Y. Rankin, V. Oza, C. Tse, and F. Searle. 2007b. Virtual peers for literacy learning. Educ. Technol. 47, 1, 39. https://www.jstor.org/stable/44429376.

Google Scholar

[51]

J. Cassell, K. Geraghty, B. Gonzalez, and J. Borland. 2009. Modeling culturally authentic style shifting with virtual peers. In Proceedings of the 2009 International Conference on Multimodal Interfaces, ICMI-MLMI’09. ACM, 135–142. ISBN 978-1-60558-772-1.

Digital Library

Google Scholar

[52]

W.-L. Chang and S. Šabanović. 2015. Interaction expands function: Social shaping of the therapeutic robot PARO in a nursing home. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human–Robot Interaction, HRI’15. ACM, 343–350. ISBN 978-1-4503-2883-8.

Digital Library

Google Scholar

[53]

T. L. Chartrand and R. van Baaren. 2009. Human mimicry. Adv. Exp. Soc. Psychol. 41, 219–274.

Crossref

Google Scholar

[54]

H. Chen. 2018. Adaptive Role Switching in Socially Interactive Agents for Children’s Language Learning. Master’s thesis. Massachusetts Institute of Technology, Cambridge, MA.

Google Scholar

[55]

C. Clabaugh, D. Becerra, E. Deng, G. Ragusa, and M. Matarić. 2018. Month-long, in-home case study of a socially assistive robot for children with autism spectrum disorder. In Companion of the 2018 ACM/IEEE International Conference on Human–Robot Interaction, HRI’18. ACM, 87–88. ISBN 978-1-4503-5615-2.

Digital Library

Google Scholar

[56]

M. Coeckelbergh. 2012. Are emotional robots deceptive? IEEE Trans. Affective Comput. 3, 4, 388–393. ISSN 1949-3045.

Digital Library

Google Scholar

[57]

A. Coninx, P. Baxter, E. Oleari, S. Bellini, B. Bierman, O. B. Henkemans, L. Canamero, P. Cosi, V. Enescu, R. R. Espinoza, A. Hiolle, R. Humbert, B. Kiefer, I. Kruijff-korbayova, R. Looije, M. Mosconi, M. Neerincx, G. Paci, G. Patsis, C. Pozzi, F. Sacchitelli, H. Sahli, A. Sanna, G. Sommavilla, F. Tesser, Y. Demiris, and T. Belpaeme. 2016. Towards long-term social child–robot interaction: Using multi-activity switching to engage young users.J. Hum.–Robot Interact. 5, 1, 32–67. ISSN 2163-0364.

Digital Library

Google Scholar

[58]

M. Csikszentmihalyi and E. Halton. October. 1981. The Meaning of Things: Domestic Symbols and the Self. Cambridge University Press. ISBN 978-0-521-28774-6.

Google Scholar

[59]

K. Darling, P. Nandy, and C. Breazeal. 2015. Empathic concern and the effect of stories in human–robot interaction. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 770–775.

Digital Library

Google Scholar

[60]

K. Dautenhahn, A. H. Bond, L. Canamero, and B. Edmonds. 2002. Socially Intelligent Agents: Creating Relationships with Computers and Robots, Vol. 3. Springer Science & Business Media.

Google Scholar

[61]

M. Davis (Ed.). 1982. Interaction Rhythms: Periodicity in Communicative Behavior. Human Sciences Press, New York.

Google Scholar

[62]

M. de Graaf, S. Ben Allouch, and J. van Dijk. 2017. Why do they refuse to use my robot?: Reasons for non-use derived from a long-term home study. In Proceedings of the 2017 ACM/IEEE International Conference on Human–Robot Interaction, HRI’17. ACM, 224–233. ISBN 978-1-4503-4336-7.

Digital Library

Google Scholar

[63]

D. Desteno, C. Breazeal, R. H. Frank, D. Pizarro, J. Baumann, L. Dickens, and J. J. Lee. 2012. Detecting the trustworthiness of novel partners in economic exchange. Psychol. Sci. 23, 12, 1549–1556. ISSN 1467-9280.

Crossref

Google Scholar

[64]

A. Dijksterhuis. 2005. Why we are social animals: The high road to imitation as social glue. Perspectives Imitation: From Neuroscience to Social Science, Vol. 2. MIT Press, 207–220.

Crossref

Google Scholar

[65]

A. Dijksterhuis and J. A. Bargh. 2001. The perception-behavior expressway: Automatic effects of social perception on social behavior. Adv. Exp. Soc. Psychol. 33, 1–40.

Crossref

Google Scholar

[66]

S. D’Mello, A. Olney, C. Williams, and P. Hays. 2012. Gaze tutor: A gaze-reactive intelligent tutoring system. Int. J. Hum.–Comput. Stud. 70, 5, 377–398.

Digital Library

Google Scholar

[67]

N. Doering, K. Richter, H.-M. Gross, C. Schroeter, S. Mueller, M. Volkhardt, A. Scheidig, and K. Debes. 2016. Robotic companions for older people: A case study in the wild. Stud. Health Technol. Inform. 219, 147–152.

Crossref

Google Scholar

[68]

A.-B. Doyle, J. Connolly, and L.-P. Rivest. 1980. The effect of playmate familiarity on the social interactions of young children. Child Dev. 217–223.

Crossref

Google Scholar

[69]

M. E. Drumwright and P. E. Murphy. 2009. The current state of advertising ethics: Industry and academic perspectives. J. Advert. 38, 1, 83–108.

Crossref

Google Scholar

[70]

S. Duck. 1991. Understanding Relationships, Vol. vii. Guilford Press, New York. ISBN 978-0-89862-758-9 978-0-89862-470-0.

Google Scholar

[71]

J. Fink, O. Mubin, F. A. A. Kaplan, and P. Dillenbourg. 2012. Anthropomorphic language in online forums about Roomba, AIBO and the iPad. In 2012 IEEE Workshop on Advanced Robotics and Its Social Impacts (ARSO). IEEE, 54–59.

Crossref

Google Scholar

[72]

B. J. Fogg and H. Tseng. 1999. The elements of computer credibility. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI’99. ACM, New York, 80–87. ISBN 978-0-201-48559-2.

Digital Library

Google Scholar

[73]

J. Forlizzi and C. DiSalvo. 2006. Service robots in the domestic environment: A study of the Roomba vacuum in the home. In Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human–Robot Interaction, HRI’06. ACM, 258–265. ISBN 978-1-59593-294-5.

Digital Library

Google Scholar

[74]

J. Förster. 2009. Cognitive consequences of novelty and familiarity: How mere exposure influences level of construal. J. Exp. Soc. Psychol. 45, 2, 444–447. ISSN 0022-1031.

Crossref

Google Scholar

[75]

J. Förster, J. Marguc, and M. Gillebaart. 2010. Novelty categorization theory. Soc. Personal. Psychol. Compass 4, 9, 736–755. ISSN 1751-9004.

Crossref

Google Scholar

[76]

B. Fraley and A. Aron. 2004. The effect of a shared humorous experience on closeness in initial encounters. Pers. Relatsh. 11, 1, 61–78. ISSN 1475-6811.

Crossref

Google Scholar

[77]

D. François, S. Powell, and K. Dautenhahn. 2009. A long-term study of children with autism playing with a robotic pet: Taking inspirations from non-directive play therapy to encourage children’s proactivity and initiative-taking. Interact. Stud. 10, 3, 324–373. ISSN 1572-0373, 1572-0381.

Crossref

Google Scholar

[78]

E. P. Frates, M. A. Moore, C. N. Lopez, and G. T. McMahon. 2011. Coaching for behavior change in physiatry. Am. J. Phys. Med. Rehabil. 90, 12, 1074–1082.

Crossref

Google Scholar

[79]

P. Gardiner, M. B. Hempstead, L. Ring, T. Bickmore, L. Yinusa-Nyahkoon, H. Tran, M. Paasche-Orlow, K. Damus, and B. Jack. 2013. Reaching women through health information technology: The Gabby preconception care system. Am. J. Health Promot. 27, 3 (suppl), eS11–eS20.

Crossref

Google Scholar

[80]

P. M. Gardiner, K. D. McCue, L. M. Negash, T. Cheng, L. F. White, L. Yinusa-Nyahkoon, B. W. Jack, and T. W. Bickmore. 2017. Engaging women with an embodied conversational agent to deliver mindfulness and lifestyle recommendations: A feasibility randomized control trial. Patient Educ. Couns. 100, 9, 1720–1729.

Crossref

Google Scholar

[81]

I. Gaudiello, S. Lefort, and E. Zibetti. 2015. The ontological and functional status of robots: How firm our representations are? Comput. Hum. Behav. 50, 259–273. ISSN 0747-5632.

Digital Library

Google Scholar

[82]

P. Gebhard, D. Tsovaltzi, T. Schneeberger, and F. Nunnari. 2022. Serious games with SIAs. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 527–559.

Digital Library

Google Scholar

[83]

M. Ghafurian, J. Muñoz, J. Boger, J. Hoey, and K. Dautenhahn. 2022. Socially interactive agents for supporting aging. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 367–402.

Digital Library

Google Scholar

[84]

M. Gillebaart. 2012. Something Old, Something New: When People Favor Novelty over Familiarity and How Novelty Affects Creative Processes. Kurt Lewin Instituut. ISBN 978-94-6191-330-2.

Google Scholar

[85]

T. R. Gleason. 2002. Social provisions of real and imaginary relationships in early childhood. Dev. Psychol. 38, 6, 979–992. ISSN 0012-1649.

Crossref

Google Scholar

[86]

T. R. Gleason and L. M. Hohmann. 2006. Concepts of real and imaginary friendships in early childhood. Soc. Dev. 15, 1, 128. ISSN 0961205X.

Crossref

Google Scholar

[87]

R. Gockley, A. Bruce, J. Forlizzi, M. Michalowski, A. Mundell, S. Rosenthal, B. Sellner, R. Simmons, K. Snipes, A. Schultz, and J. Wang. 2005. Designing robots for long-term social interaction. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005 (IROS 2005). IEEE, 1338–1343.

Crossref

Google Scholar

[88]

D. Goldman, 2015. Your Samsung TV is eavesdropping on your private conversations. http://money.cnn.com/2015/02/09/technology/security/samsung-smart-tv-privacy/index.html.

Google Scholar

[89]

G. Gordon and C. Breazeal. 2015. Bayesian active learning-based robot tutor for children’s word-reading skills. In Proceedings of the 29th AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence, 1343–1349.

Google Scholar

[90]

G. Gordon, C. Breazeal, and S. Engel. 2015. Can children catch curiosity from a social robot? In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human–Robot Interaction, HRI’15. ACM, 91–98. ISBN 978-1-4503-2883-8.

Digital Library

Google Scholar

[91]

G. Gordon, S. Spaulding, J. Kory-Westlund, J. J. Lee, L. Plummer, M. Martinez, M. Das, and C. Breazeal. 2016. Affective personalization of a social robot tutor for children’s second language skill. In Proceedings of the 30th AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence.

Google Scholar

[92]

J. Gratch and G. Lucas. 2021. Rapport between humans and socially interactive agents. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 433–462.

Digital Library

Google Scholar

[93]

J. Gratch, N. Wang, J. Gerten, E. Fast, and R. Duffy. 2007. Creating rapport with virtual agents. In Intelligent Virtual Agents, Vol. 4722: Lecture Notes in Computer Science. Springer, Berlin, 125–138.

Digital Library

Google Scholar

[94]

H.-M. Gross, C. Schroeter, S. Müller, M. Volkhardt, E. Einhorn, A. Bley, T. Langner, M. Merten, C. Huijnen, H. van den Heuvel, and H. A. Van Berlo. 2012. Further progress towards a home robot companion for people with mild cognitive impairment. In 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 637–644.

Crossref

Google Scholar

[95]

H.-M. Gross, A. Scheidig, S. Müller, B. Schütz, C. Fricke, and S. Meyer. 2019. Living with a mobile companion robot in your own apartment—Final implementation and results of a 20-weeks field study with 20 seniors. In 2019 International Conference on Robotics and Automation (ICRA). IEEE, 2253–2259.

Digital Library

Google Scholar

[96]

P. A. Hancock, D. R. Billings, K. E. Schaefer, J. Y. C. Chen, E. J. de Visser, and R. Parasuraman. October. 2011. A meta-analysis of factors affecting trust in human–robot interaction. Hum. Factors 53, 5, 517–527. ISSN 0018-7208, 1547-8181.

Crossref

Google Scholar

[97]

P. L. Harris. 2007. Trust. Dev. Sci. 10, 135–138.

Crossref

Google Scholar

[98]

P. L. Harris. 2012. Trusting What You’re Told: How Children Learn from Others. Harvard University Press.

Google Scholar

[99]

W. W. Hartup, B. Laursen, M. I. Stewart, and A. Eastenson. 1988. Conflict and the friendship relations of young children. Child Dev. 59, 6, 1590–1600. ISSN 0009-3920.

Crossref

Google Scholar

[100]

D. Hebesberger, T. Koertner, C. Gisinger, and J. Pripfl. 2017. A long-term autonomous robot at a care hospital: A mixed methods study on social acceptance and experiences of staff and older adults. Int. J. Soc. Robot. 1–13. ISSN 1875-4791, 1875-4805.

Crossref

Google Scholar

[101]

A. O. G. Horvath. 1989. Development and validation of the Working Alliance Inventory. J. Couns. Psychol. 36, 2, 223–233.

Crossref

Google Scholar

[102]

A. O. Horvath and L. Luborsky. 1993. The role of the therapeutic alliance in psychotherapy. J. Consult. Clin. Psychol. 61, 4, 561–573.

Crossref

Google Scholar

[103]

E. Hyun, H. Yoon, and S. Son. 2010. Relationships between user experiences and children’s perceptions of the education robot. In Proceedings of the 5th ACM/IEEE International Conference on Human–Robot Interaction, HRI’10. IEEE Press, Piscataway, NJ, 199–200. ISBN 978-1-4244-4893-7.

Crossref

Google Scholar

[104]

W. Ickes, V. Bissonnette, S. Garcia, and L. L. Stinson. 1990. Implementing and using the dyadic interaction paradigm. In C. Hendrick and M. S. Clark (Eds.), Review of Personality and Social Psychology, Vol. 11: Research Methods in Personality and Social Psychology. Sage Publications, 16–44.

Google Scholar

[105]

Y. Iwamura, M. Shiomi, T. Kanda, H. Ishiguro, and N. Hagita. 2011. Do elderly people prefer a conversational humanoid as a shopping assistant partner in supermarkets? In 2011 6th ACM/IEEE International Conference on Human–Robot Interaction (HRI). ACM, 449–457.

Digital Library

Google Scholar

[106]

B. Jack, T. Bickmore, M. Hempstead, L. Yinusa-Nyahkoon, E. Sadikova, S. Mitchell, P. Gardiner, F. Adigun, B. Penti, D. Schulman, and K. Damus. 2015. Reducing preconception risks among African American women with conversational agent technology. J. Am. Board Fam. Med. 28, 4, 441–451.

Crossref

Google Scholar

[107]

B. W. Jack, T. Bickmore, L. Yinusa-Nyahkoon, M. Reichert, C. Julce, N. Sidduri, J. Martin-Howard, Z. Zhang, E. Woodhams, J. Fernandez, M. Loafman, and H. J. Cabral. 2020. Improving the health of young African American women in the preconception period using health information technology: A randomised controlled trial. Lancet Digit. Health 2, 9, e475–e485. ISSN 2589-7500. https://www.sciencedirect.com/science/article/pii/S2589750020301898.

Crossref

Google Scholar

[108]

K. Janowski, H. Ritschel, and E. André. 2022. Adaptive artificial personalities. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 155–193.

Digital Library

Google Scholar

[109]

S. Jeong, S. Alghowinem, L. Aymerich-Franch, K. Arias, A. Lapedriza, R. Picard, H. W. Park, and C. Breazeal. 2020. A robotic positive psychology coach to improve college students’ wellbeing. In 29th IEEE International Conference on Robot and Human Interactive Communication, 2020, ROMAN 2020. IEEE, 187–194.

Crossref

Google Scholar

[110]

I.-M. Jonsson, C. Nass, H. Harris, and L. Takayama. 2005. Matching in-car voice with driver state: Impact on attitude and driving performance. In Driving Assessment 2005: 3rd International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design. ISBN 978-0-87414-151-1. University of Iowa, Iowa City.

Google Scholar

[111]

P. H. Kahn, B. Friedman, and J. Hagman. 2002. “I care about him as a pal”: Conceptions of robotic pets in online AIBO discussion forums. In CHI’02 Extended Abstracts on Human Factors in Computing Systems. ACM, 632–633.

Digital Library

Google Scholar

[112]

P. H. Kahn, A. L. Reichert, H. E. Gary, T. Kanda, H. Ishiguro, S. Shen, J. H. Ruckert, and B. Gill. 2011. The new ontological category hypothesis in human–robot interaction. In Proceedings of the 6th International Conference on Human–Robot Interaction. ACM, 159–160.

Digital Library

Google Scholar

[113]

P. H. Kahn, T. Kanda, H. Ishiguro, N. G. Freier, R. L. Severson, B. T. Gill, J. H. Ruckert, and S. Shen. 2012. “Robovie, you’ll have to go into the closet now”: Children’s social and moral relationships with a humanoid robot. Dev. Psychol. 48, 2, 303–314.

Crossref

Google Scholar

[114]

T. Kanda, T. Hirano, D. Eaton, and H. Ishiguro. 2004. Interactive robots as social partners and peer tutors for children: A field trial. Hum.–Comput. Interact. 19, 1, 61–84. ISSN 0737-0024.

Crossref

Google Scholar

[115]

T. Kanda, R. Sato, N. Saiwaki, and H. Ishiguro. October. 2007. A two-month field trial in an elementary school for long-term human–robot interaction. IEEE Trans. Robot. 23, 5, 962–971. ISSN 1552-3098.

Digital Library

Google Scholar

[116]

T. Kanda, D. F. Glas, M. Shiomi, H. Ishiguro, and N. Hagita. 2008. Who will be the customer?: A social robot that anticipates people’s behavior from their trajectories. In Proceedings of the 10th International Conference on Ubiquitous Computing. ACM, 380–389.

Digital Library

Google Scholar

[117]

Z. Kasap and N. Magnenat-Thalmann. 2010. Towards episodic memory-based long-term affective interaction with a human-like robot. In RO-MAN, 2010 IEEE. IEEE, 452–457.

Crossref

Google Scholar

[118]

Z. Kasap and N. Magnenat-Thalmann. 2012. Building long-term relationships with virtual and robotic characters: The role of remembering. Vis. Comput. 28, 1, 87–97.

Digital Library

Google Scholar

[119]

H. H. Kelley, E. Berscheid, A. Christensen, J. Harvey, T. Huston, G. Levinger, E. McClintock, L. Peplau, and D. Peterson. 1983. Close Relationships. Freeman, New York. ISBN 978-0-7167-1443-9. OCLC: 902175384.

Google Scholar

[120]

J. Kennedy, P. Baxter, and T. Belpaeme. 2015. The robot who tried too hard: Social behaviour of a robot tutor can negatively affect child learning. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI’15, Vol. 15. ACM, 67–74.

Digital Library

Google Scholar

[121]

J. Kennedy, P. Baxter, E. Senft, and T. Belpaeme. 2016. Social robot tutoring for child second language learning. In 2016 11th ACM/IEEE International Conference on Human–Robot Interaction (HRI). IEEE, 231–238.

Crossref

Google Scholar

[122]

J. Kennedy, P. Baxter, and T. Belpaeme. 2017a. Nonverbal immediacy as a characterisation of social behaviour for human–robot interaction. Int. J. Soc. Robot. 9, 1, 109–128. ISSN 1875-4791, 1875-4805.

Crossref

Google Scholar

[123]

J. Kennedy, I. Leite, A. Pereira, M. Sun, B. Li, R. Jain, R. Cheng, E. Pincus, E. J. Carter, and J. F. Lehman. 2017b. Learning and reusing dialog for repeated interactions with a situated social agent. In International Conference on Intelligent Virtual Agents, Vol. 10498: Lecture Notes in Computer Science. Springer, 192–204.

Crossref

Google Scholar

[124]

C. D. Kidd and C. Breazeal. 2008. Robots at home: Understanding long-term human–robot interaction. In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008, IROS 2008. IEEE, 3230–3235.

Crossref

Google Scholar

[125]

E. S. Kim, L. D. Berkovits, E. P. Bernier, D. Leyzberg, F. Shic, R. Paul, and B. Scassellati. 2013. Social robots as embedded reinforcers of social behavior in children with autism. J. Autism Dev. Disord. 43, 5, 1038–1049. ISSN 0162-3257, 1573-3432.

Crossref

Google Scholar

[126]

E. Kimani, T. Bickmore, H. Trinh, L. Ring, M. K. Paasche-Orlow, and J. W. Magnani. 2016. A smartphone-based virtual agent for atrial fibrillation education and counseling. In International Conference on Intelligent Virtual Agents, Vol. 10011: Lecture Notes in Computer Science. Springer, 120–127.

Crossref

Google Scholar

[127]

A. Klapper, R. Ramsey, D. Wigboldus, and E. S. Cross. 2014. The control of automatic imitation based on bottom–up and top–down cues to animacy: Insights from brain and behavior. J. Cogn. Neurosci. 26, 11, 2503–2513. ISSN 0898-929X.

Digital Library

Google Scholar

[128]

J. Kory and C. Breazeal. 2014. Storytelling with robots: Learning companions for preschool children’s language development. In 2014 RO-MAN: The 23rd IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 643–648.

Crossref

Google Scholar

[129]

J. M. Kory-Westlund. 2019. Relational AI: Creating Long-Term Interpersonal Interaction, Rapport, and Relationships with Social Robots. Ph.D. thesis. Massachusetts Institute of Technology.

Google Scholar

[130]

J. M. Kory-Westlund and C. Breazeal. 2019a. Assessing children’s perceptions and acceptance of a social robot. In Proceedings of the 18th ACM International Conference on Interaction Design and Children, IDC’19. ACM, 38–50. ISBN 978-1-4503-6690-8.

Digital Library

Google Scholar

[131]

J. M. Kory-Westlund and C. Breazeal. 2019b. Exploring the effects of a social robot’s speech entrainment and backstory on young children’s emotion, rapport, relationship, and learning. Front. Robot. AI 6. ISSN 2296-9144. https://www.frontiersin.org/articles/10.3389/frobt.2019.00054/full.

Crossref

Google Scholar

[132]

J. M. Kory-Westlund, M. Martinez, M. Archie, M. Das, and C. Breazeal. 2016. Effects of framing a robot as a social agent or as a machine on children’s social behavior. In The 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 688–693.

Digital Library

Google Scholar

[133]

J. M. Kory-Westlund, L. Dickens, S. Jeong, P. L. Harris, D. DeSteno, and C. L. Breazeal. 2017a. Children use non-verbal cues to learn new words from robots as well as people. Int. J. Child–Comput. Interact. ISSN 2212-8689.

Crossref

Google Scholar

[134]

J. M. Kory-Westlund, S. Jeong, H. W. Park, S. Ronfard, A. Adhikari, P. L. Harris, D. DeSteno, and C. Breazeal. 2017b. Flat versus expressive storytelling: Young children’s learning and retention of a social robot’s narrative. Front. Hum. Neurosci. 11. ISSN 1662-5161.

Crossref

Google Scholar

[135]

J. M. Kory-Westlund, H. W. Park, R. Williams, and C. Breazeal. 2018. Measuring young children’s long-term relationships with social robots. In Proceedings of the 17th ACM Conference on Interaction Design and Children. ACM, 207–218.

Digital Library

Google Scholar

[136]

H. Kozima, M. P. Michalowski, and C. Nakagawa. 2009. Keepon: A playful robot for research, therapy, and entertainment. Int. J. Soc. Robot. 1, 1, 3–18.

Crossref

Google Scholar

[137]

N. Krämer and A. Manzeschke. 2021. Social reactions to socially interactive agents and their ethical implications. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 77–103.

Digital Library

Google Scholar

[138]

I. Kruijff-Korbayová, E. Oleari, A. Bagherzadhalimi, F. Sacchitelli, B. Kiefer, S. Racioppa, C. Pozzi, and A. Sanna. October. 2015. Young users’ perception of a social robot displaying familiarity and eliciting disclosure. In Social Robotics, Vol. 9388: Lecture Notes in Computer Science. Springer, Cham, 380–389.

Digital Library

Google Scholar

[139]

B. Lakey and S. Cohen. 2000. Social support theory and measurement. In S. Cohen, L. G. Underwood, and B. H. Gottlieb (Eds.), Social Support Measurement and Intervention: A Guide for Health and Social Scientists. Oxford University Press, New York, 29–52. ISBN 978-0-19-512670-9.

Google Scholar

[140]

J. L. Lakin, V. E. Jefferis, C. M. Cheng, and T. L. Chartrand. 2003. The chameleon effect as social glue: Evidence for the evolutionary significance of nonconscious mimicry. J. Nonverbal Behav. 27, 3, 145–162.

Crossref

Google Scholar

[141]

P. Lally, C. H. M. van Jaarsveld, H. W. W. Potts, and J. Wardle. 2010. How are habits formed: Modelling habit formation in the real world. Eur. J. Soc. Psychol. 40, 6, 998–1009. https://onlinelibrary.wiley.com/doi/abs/10.1002/ejsp.674.

Crossref

Google Scholar

[142]

H. C. Lane and N. L. Schroeder. 2022. Pedagogical agents. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 307–329.

Digital Library

Google Scholar

[143]

G. W. Lane, D. Noronha, A. Rivera, K. Craig, C. Yee, B. Mills, and E. Villanueva. 2016. Effectiveness of a social robot, “Paro,” in a VA long-term care setting. Psychol. Serv. 13, 3, 292–299. ISSN 1939-148X 1541-1559.

Crossref

Google Scholar

[144]

S. Lee, H. Noh, J. Lee, K. Lee, G. G. Lee, S. Sagong, and M. Kim. 2011. On the effectiveness of robot-assisted language learning. ReCALL 23, 01, 25–58.

Digital Library

Google Scholar

[145]

H. R. Lee, J. Sung, S. Šabanović, and J. Han. 2012a. Cultural design of domestic robots: A study of user expectations in Korea and the United States. In RO-MAN, 2012 IEEE. IEEE, 803–808.

Crossref

Google Scholar

[146]

M. K. Lee, J. Forlizzi, S. Kiesler, P. Rybski, J. Antanitis, and S. Savetsila. 2012b. Personalization in HRI: A longitudinal field experiment. In 2012 7th ACM/IEEE International Conference on Human–Robot Interaction (HRI). ACM, 319–326.

Digital Library

Google Scholar

[147]

I. Leite, C. Martinho, A. Pereira, and A. Paiva. 2009. As time goes by: Long-term evaluation of social presence in robotic companions. In RO-MAN 2009—The 18th IEEE International Symposium on Robot and Human Interactive Communication. IEEE, 669–674.

Crossref

Google Scholar

[148]

I. Leite, G. Castellano, A. A. Pereira, C. Martinho, and A. Paiva. 2012a. Long-term interactions with empathic robots: Evaluating perceived support in children. Social Robotics, Vol. 7621: Lecture Notes in Computer Science. Springer, 298–307.

Digital Library

Google Scholar

[149]

I. Leite, A. A. Pereira, G. Castellano, S. Mascarenhas, C. Martinho, and A. Paiva. 2012b. Modelling empathy in social robotic companions. Advances in User Modeling, Vol. 7138: Lecture Notes in Computer Science. Springer, 135–147.

Digital Library

Google Scholar

[150]

I. Leite, C. Martinho, and A. Paiva. 2013. Social robots for long-term interaction: A survey. Int. J. Soc. Robot. 5, 2, 291–308. ISSN 1875-4791, 1875-4805.

Crossref

Google Scholar

[151]

I. Leite, G. Castellano, A. Pereira, C. Martinho, and A. Paiva. 2014. Empathic robots for long-term interaction. Int. J. Soc. Robot. 6, 3, 329–341. ISSN 1875-4791, 1875-4805.

Crossref

Google Scholar

[152]

I. Leite, M. McCoy, M. Lohani, D. Ullman, N. Salomons, C. Stokes, S. Rivers, and B. Scassellati. 2015. Emotional storytelling in the classroom: Individual versus group interaction between children and robots. In Proceedings of the 10th Annual ACM/IEEE International Conference on Human–Robot Interaction (HRI’15). ACM, 75–82:.

Digital Library

Google Scholar

[153]

I. Leite, A. Pereira, and J. F. Lehman. 2017. Persistent memory in repeated child–robot conversations. In Proceedings of the 2017 Conference on Interaction Design and Children, IDC’17. ACM, 238–247. ISBN 978-1-4503-4921-5.

Digital Library

Google Scholar

[154]

R. Levitan, S. Benus, R. H. Gálvez, A. Gravano, F. Savoretti, M. Trnka, A. Weise, and J. Hirschberg. 2016. Implementing acoustic-prosodic entrainment in a conversational avatar. In INTERSPEECH, 1166–1170.

Crossref

Google Scholar

[155]

D. Leyzberg, S. Spaulding, and B. Scassellati. 2014. Personalizing robot tutors to individuals’ learning differences. In Proceedings of the 2014 ACM/IEEE International Conference on Human–Robot Interaction. ACM, 423–430.

Digital Library

Google Scholar

[156]

I. Lopatovska, K. Rink, I. Knight, K. Raines, K. Cosenza, H. Williams, P. Sorsche, D. Hirsch, Q. Li, and A. Martinez. 2018. Talk to me: Exploring user interactions with the Amazon Alexa. J. Libr. Inf. Sci. 51, 4, 984–997.

Crossref

Google Scholar

[157]

G. López, L. Quesada, and L. A. Guerrero. 2018. Alexa vs. Siri vs. Cortana vs. Google Assistant: A comparison of speech-based natural user interfaces. In I. L. Nunes (Ed.), Advances in Human Factors and Systems Interaction, Advances in Intelligent Systems and Computing. Springer, Cham, 241–250. ISBN 978-3-319-60366-7.

Crossref

Google Scholar

[158]

N. Lubold. 2017. Building rapport through dynamic models of acoustic-prosodic entrainment. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA’17. ACM, 297–300. ISBN 978-1-4503-4656-6.

Digital Library

Google Scholar

[159]

N. Lubold, E. Walker, and H. Pon-Barry. 2016. Effects of voice-adaptation and social dialogue on perceptions of a robotic learning companion. In The Eleventh ACM/IEEE International Conference on Human Robot Interaction, HRI’16. IEEE, 255–262. ISBN 978-1-4673-8370-7.

Crossref

Google Scholar

[160]

N. Lubold, E. Walker, H. Pon-Barry, and A. Ogan. 2018. Automated pitch convergence improves learning in a social, teachable robot for middle school mathematics. In C. Penstein Rosé, R. Martínez-Maldonado, H. U. Hoppe, R. Luckin, M. Mavrikis, K. Porayska-Pomsta, B. McLaren, and B. du Boulay (Eds.), Artificial Intelligence in Education, Vol. 10947: Lecture Notes in Computer Science. Springer, Cham, 282–296. ISBN 978-3-319-93843-1.

Crossref

Google Scholar

[161]

G. M. Lucas, J. Gratch, A. King, and L.-P. Morency. 2014. It’s only a computer: Virtual humans increase willingness to disclose. Comput. Hum. Behav. 37, 94–100. ISSN 0747-5632.

Digital Library

Google Scholar

[162]

B. Lugrin, C. Pelachaud, and D. Traum. (Eds.). 2021. The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 538 pages.

Digital Library

Google Scholar

[163]

B. Mallinckrodt. 1989. Social support and the effectiveness of group therapy. J. Couns. Psychol. 36, 2, 170.

Crossref

Google Scholar

[164]

B. L. McCornack. 1982. Effects of peer familiarity on play behavior in preschool children. J. Genet. Psychol. 141, 2, 225. ISSN 00221325.

Crossref

Google Scholar

[165]

G. F. Melson, J. Kahn, H. Peter, A. Beck, and B. Friedman. 2009. Robotic pets in human lives: Implications for the human–animal bond and for human relationships with personified technologies. J. Soc. Issues 65, 3, 545–567. ISSN 1540-4560.

Crossref

Google Scholar

[166]

W. Moyle, M. Bramble, C. Jones, and J. Murfield. 2018. Care staff perceptions of a social robot called Paro and a look-alike plush toy: A descriptive qualitative approach. Aging Ment. Health 22, 3, 330–335. ISSN 1360-7863.

Crossref

Google Scholar

[167]

J. Nadel, O. Grynszpan, and J.-C. Martin. 2022. Autism and socially interactive agents. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 437–462.

Digital Library

Google Scholar

[168]

A. F. Newcomb and C. L. Bagwell. 1995. Children’s friendship relations: A meta-analytic review. Psychol. Bull. 117, 2, 306–347. ISSN 1939-1455 0033-2909.

Crossref

Google Scholar

[169]

J. Orkin and D. Roy. 2008. The restaurant game: Learning social behavior and language from thousands of players online. J. Game Dev. 3, 1, 39–60.

Crossref

Google Scholar

[170]

J. Orkin and D. Roy. 2009. Automatic learning and generation of social behavior from collective human gameplay. In Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, Vol. 1. International Foundation for Autonomous Agents and Multiagent Systems, 385–392.

Google Scholar

[171]

A. K. Ostrowski, D. DiPaola, E. Partridge, H. W. Park, and C. Breazeal. 2019. Older adults living with social robots: Promoting social connectedness in long-term communities. IEEE Robot. Autom. Mag. 26, 2, 59–70.

Crossref

Google Scholar

[172]

G. Palestra, G. Varni, M. Chetouani, and F. Esposito. 2016. A multimodal and multilevel system for robotics treatment of autism in children. In Proceedings of the International Workshop on Social Learning and Multimodal Interaction for Designing Artificial Agents, DAA’16. ACM, 3:1–3:6. ISBN 978-1-4503-4560-6.

Digital Library

Google Scholar

[173]

H. W. Park, M. Gelsomini, J. J. Lee, T. Zhu, and C. Breazeal. 2017a. Backchannel opportunity prediction for social robot listeners. In 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2308–2314.

Digital Library

Google Scholar

[174]

H. W. Park, R. Rosenberg-Kima, M. Rosenberg, G. Gordon, and C. Breazeal. 2017b. Growing growth mindset with a social robot peer. In Proceedings of the 2017 ACM/IEEE International Conference on Human–Robot Interaction, HRI’17. ACM, 137–145. ISBN 978-1-4503-4336-7.

Digital Library

Google Scholar

[175]

H. W. Park, I. Grover, S. Spaulding, L. Gomez, and C. Breazeal. 2019. A model-free affective reinforcement learning approach to personalization of an autonomous social robot companion for early literacy education. In Proceedings of the AAAI Conference on Artificial Intelligence. AAAI Press, 687–694.

Digital Library

Google Scholar

[176]

R. H. Passman and J. S. Halonen. 1979. A developmental survey of young children’s attachments to inanimate objects. J. Genet. Psychol. 134, 2, 165–178. ISSN 0022-1325.

Crossref

Google Scholar

[177]

C. Pelachaud, C. Busso, and D. Heylen. 2021. Multimodal behavior modeling for socially interactive agents. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 259–310.

Digital Library

Google Scholar

[178]

J. Perez-Osorio, E. Wiese, and A. Wykowska. 2021. Theory of mind and joint attention. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 313–347.

Digital Library

Google Scholar

[179]

R. W. Picard and J. Klein. 2002. Computers that recognise and respond to user emotion: Theoretical and practical implications. Interact. Comput. 14, 2, 141–169. ISSN 0953-5438.

Crossref

Google Scholar

[180]

R. Pieraccini. 2021. Natural language understanding in socially interactive agents. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 147–172.

Digital Library

Google Scholar

[181]

M. Pontier and G. F. Siddiqui. 2008. A virtual therapist that responds empathically to your answers. In Intelligent Virtual Agents, Vol. 5208: Lecture Notes in Computer Science. Springer, 417–425.

Digital Library

Google Scholar

[182]

R. Prada and D. Rato. 2022. Socially interactive agents in games. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 493–525.

Digital Library

Google Scholar

[183]

A. Pradhan, K. Mehta, and L. Findlater. 2018. “Accessibility came by accident”: Use of voice-controlled intelligent personal assistants by people with disabilities. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI’18. ACM, 459:1–459:13. ISBN 978-1-4503-5620-6.

Digital Library

Google Scholar

[184]

A. Pradhan, L. Findlater, and A. Lazar. 2019. “Phantom friend” or “just a box with information”: Personification and ontological categorization of smart speaker-based voice assistants by older adults. Proc. ACM Hum.-Comput. Interact. 3, CSCW, 1–21.

Digital Library

Google Scholar

[185]

A. Ramachandran and B. Scassellati. 2015. Developing adaptive social robot tutors for children. In 2015 AAAI Fall Symposium Series. Association for the Advancement of Artificial Intelligence, 114–116.

Google Scholar

[186]

N. Randall. 2019. A survey of robot-assisted language learning (RALL). ACM Trans. Hum.-Robot. Interact. 9, 1, 1–36.

Digital Library

Google Scholar

[187]

L. D. Riek and D. Howard. 2014. A code of ethics for the human–robot interaction profession. In WeRobot 2014 Conference. https://ssrn.com/abstract=2757805.

Google Scholar

[188]

L. Ring. 2017. An Affect-Aware Dialogue System for Counseling. Ph.D. thesis. Northeastern University.

Google Scholar

[189]

L. Ring, T. Bickmore, and D. Schulman. 2012. Longitudinal affective computing. In International Conference on Intelligent Virtual Agents, Vol. 7502: Lecture Notes in Computer Science. Springer, 89–96.

Digital Library

Google Scholar

[190]

B. Robins, K. Dautenhahn, R. T. Boekhorst, and A. Billard. 2005. Robotic assistants in therapy and education of children with autism: Can a small humanoid robot help encourage social interaction skills? Univers. Access Inf. Soc. 4, 2, 105–120.

Digital Library

Google Scholar

[191]

K. J. Rotenberg, N. Eisenberg, C. Cumming, A. Smith, M. Singh, and E. Terlicher. 2003. The contribution of adults’ nonverbal cues and children’s shyness to the development of rapport between adults and preschool children. Int. J. Behav. Dev. 27, 1, 21–30. ISSN 0165-0254.

Crossref

Google Scholar

[192]

K. H. Rubin, W. M. Bukowski, and J. G. Parker. 1998. Peer interactions, relationships, and groups. In Handbook of Child Psychology. John Wiley & Sons. ISBN 978-0-470-14765-8.

Crossref

Google Scholar

[193]

T. Salter, K. Dautenhahn, and R. Bockhorst. 2004. Robots moving out of the laboratory—Detecting interaction levels and human contact in noisy school environments. In RO-MAN 2004. 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No. 04TH8759). IEEE, 563–568.

Crossref

Google Scholar

[194]

C. Saund and S. Marsella. 2021. Gesture generation. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 1: Methods, Behavior, Cognition. ACM Press, 213–258.

Digital Library

Google Scholar

[195]

B. Scassellati, L. Boccanfuso, C.-M. Huang, M. Mademtzi, M. Qin, N. Salomons, P. Ventola, and F. Shic. 2018a. Improving social skills in children with ASD using a long-term, in-home social robot. Sci. Robot. 3, 21, eaat7544. ISSN 2470-9476.

Crossref

Google Scholar

[196]

B. Scassellati, J. Brawer, K. Tsui, S. Nasihati Gilani, M. Malzkuhn, B. Manini, A. Stone, G. Kartheiser, A. Merla, A. Shapiro, D. Traum, and L.-A. Petitto. 2018b. Teaching language to deaf infants with a robot and a virtual human. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, CHI’18. ACM, 553:1–553:13. ISBN 978-1-4503-5620-6.

Digital Library

Google Scholar

[197]

C. Schroeter, S. Mueller, M. Volkhardt, E. Einhorn, C. Huijnen, H. van den Heuvel, A. van Berlo, A. Bley, and H.-M. Gross. 2013. Realization and user evaluation of a companion robot for people with mild cognitive impairments. In 2013 IEEE International Conference on Robotics and Automation. IEEE, 1153–1159.

Crossref

Google Scholar

[198]

A. Sciuto, A. Saini, J. Forlizzi, and J. I. Hong. 2018. “Hey Alexa, what’s up?”: A mixed-methods studies of in-home conversational agent usage. In Proceedings of the 2018 Designing Interactive Systems Conference, DIS’18. ACM, 857–868. ISBN 978-1-4503-5198-0.

Digital Library

Google Scholar

[199]

G. R. Semin and J. T. Cacioppo. 2008. Grounding social cognition: Synchronization, coordination, and co-regulation. In G. R. Semin and E. R. Smith (Eds.), Embodied Grounding: Social, Cognitive, Affective, and Neuroscientific Approaches. Cambridge University Press, 119–147.

Crossref

Google Scholar

[200]

S. Serholt and W. Barendregt. 2016. Robots tutoring children: Longitudinal evaluation of social engagement in child–robot interaction. In Proceedings of the 9th Nordic Conference on Human–Computer Interaction, NordiCHI’16. ACM, 64:1–64:10. ISBN 978-1-4503-4763-1.

Digital Library

Google Scholar

[201]

K. Severinson-Eklundh, A. Green, and H. Hüttenrauch. 2003. Social and collaborative aspects of interaction with a service robot. Robot. Auton. Syst. 42, 3–4, 223–234. ISSN 0921-8890.

Crossref

Google Scholar

[202]

R. L. Severson and S. M. Carlson. 2010. Behaving as or behaving as if? Children’s conceptions of personified robots and the emergence of a new ontological category. Neural Netw. 23, 8, 1099–1103.

Digital Library

Google Scholar

[203]

T. Shibata, K. Wada, Y. Ikeda, and S. Sabanovic. 2009. Cross-cultural studies on subjective evaluation of a seal robot. Adv. Robot. 23, 4, 443–458.

Crossref

Google Scholar

[204]

E. Short, K. Swift-Spong, J. Greczek, A. Ramachandran, A. Litoiu, E. C. Grigore, D. Feil-Seifer, S. Shuster, J. J. Lee, S. Huang, S. Levonisova, S. Litz, J. Li, G. Ragusa, D. Spruijt-Metz, M. Mataric, and B. Scassellati. 2014. How to train your DragonBot: Socially assistive robots for teaching children about nutrition through play. In The 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014 RO-MAN. IEEE, 924–929.

Crossref

Google Scholar

[205]

C. L. Sidner, T. Bickmore, B. Nooraie, C. Rich, L. Ring, M. Shayganfar, and L. Vardoulakis. 2018. Creating new technologies for companionable agents to support isolated older adults. ACM Trans. Interact. Intell. Syst. 8, 3, 17:1–17:27. ISSN 2160-6455.

Digital Library

Google Scholar

[206]

N. Singh. 2018. Talking Machines: Democratizing the Design of Voice-Based Agents for the Home. Master’s thesis. Massachusetts Institute of Technology, Cambridge, MA.

Google Scholar

[207]

T. Sinha and J. Cassell. 2015a. We click, we align, we learn: Impact of influence and convergence processes on student learning and rapport building. In Proceedings of the 1st Workshop on Modeling INTERPERsonal SynchrONy And infLuence, INTERPERSONAL’15. ACM, 13–20. ISBN 978-1-4503-3986-5.

Digital Library

Google Scholar

[208]

T. Sinha and J. Cassell. 2015b. Fine-grained analyses of interpersonal processes and their effect on learning. In Artificial Intelligence in Education, Vol. 9112: Lecture Notes in Computer Science. Springer, Cham, 781–785.

Crossref

Google Scholar

[209]

H. Spencer-Oatey. 1996. Reconsidering power and distance. J. Pragmat. 26, 1, 1–24. ISSN 0378-2166.

Crossref

Google Scholar

[210]

A. Stenzel, E. Chinellato, M. A. T. Bou, A. P. del Pobil, M. Lappe, and R. Liepelt. 2012. When humanoid robots become human-like interaction partners: Corepresentation of robotic actions. J. Exp. Psychol.: Hum. Percept. Perform. 38, 5, 1073.

Crossref

Google Scholar

[211]

J.-Y. Sung, L. Guo, R. E. Grinter, and H. I. Christensen. 2007. “My Roomba is Rambo”: Intimate home appliances. In J. Krumm, G. D. Abowd, A. Seneviratne, and T. Strang (Eds.), UbiComp 2007: Ubiquitous Computing, Vol. 4717: Lecture Notes in Computer Science. Springer, Berlin, 145–162. ISBN 978-3-540-74853-3.

Crossref

Google Scholar

[212]

J. Sung, H. I. Christensen, and R. E. Grinter. 2009a. Robots in the wild: Understanding long-term use. In Proceedings of the 4th ACM/IEEE International Conference on Human Robot Interaction, HRI’09. ACM, 45–52. ISBN 978-1-60558-404-1.

Digital Library

Google Scholar

[213]

J. Sung, R. E. Grinter, and H. I. Christensen. 2009b. “Pimp my Roomba”: Designing for personalization. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 193–196.

Digital Library

Google Scholar

[214]

H.-C. Sung, S.-M. Chang, M.-Y. Chin, and W.-L. Lee. 2015. Robot-assisted therapy for improving social interactions and activity participation among institutionalized older adults: A pilot study. Asia Pac. Psychiatry 7, 1, 1–6. ISSN 1758-5872.

Crossref

Google Scholar

[215]

N. Suzuki and Y. Katagiri. 2007. Prosodic alignment in human–computer interaction. Conn. Sci. 19, 2, 131–141.

Digital Library

Google Scholar

[216]

F. Tanaka, A. Cicourel, and J. R. Movellan. 2007. Socialization between toddlers and robots at an early childhood education center. Proc. Natl. Acad. Sci. U. S. A. 104, 46, 17954–17958. ISSN 0027-8424, 1091-6490.

Crossref

Google Scholar

[217]

S. Thrun, M. Bennewitz, W. Burgard, A. B. Cremers, F. Dellaert, D. Fox, D. Hähnel, C. Rosenberg, N. Roy, J. Schulte, and D. Schulz. 1999. MINERVA: A second-generation museum tour-guide robot. In Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999, Vol. 3. IEEE, 1999–2005.

Crossref

Google Scholar

[218]

L. Tickle-Degnen and R. Rosenthal. October. 1990. The nature of rapport and its nonverbal correlates. Psychol. Inq. 1, 4, 285–293. ISSN 1047-840X.

Crossref

Google Scholar

[219]

E. Torta, F. Werner, D. O. Johnson, J. F. Juola, R. H. Cuijpers, M. Bazzani, J. Oberzaucher, J. Lemberger, H. Lewy, and J. Bregman. 2014. Evaluation of a small socially-assistive humanoid robot in intelligent homes for the care of the elderly. J. Intell. Robot. Syst. 76, 1, 57–71.

Digital Library

Google Scholar

[220]

D. Traum. 2022. Socially interactive agent dialogue. In B. Lugrin, C. Pelachaud, and D. Traum (Eds.), The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application. ACM Press, 45–76.

Digital Library

Google Scholar

[221]

Y. Trope and N. Liberman. 2010. Construal-level theory of psychological distance. Psychol. Rev. 117, 2, 440–463.

Crossref

Google Scholar

[222]

V. Turk. 2016. Home invasion. New Sci. 232, 3104, 16–17. ISSN 0262-4079.

Crossref

Google Scholar

[223]

S. Turkle. 2007. Authenticity in the age of digital companions. Interact. Stud. 8, 3, 501–517.

Crossref

Google Scholar

[224]

S. Turkle. 2017. Alone Together: Why We Expect More from Technology and Less from Each Other. Hachette, UK.

Google Scholar

[225]

S. Turkle, C. Breazeal, O. Dasté, and B. Scassellati. 2006. Encounters with kismet and cog: Children respond to relational artifacts. In Digital Media: Transformations in Human Communication. Peter Lang, 313–330.

Google Scholar

[226]

D. Utami, T. W. Bickmore, and L. J. Kruger. 2017. A robotic couples counselor for promoting positive communication. In 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 248–255.

Digital Library

Google Scholar

[227]

P. Valdesolo and D. DeSteno. 2011. Synchrony and the social tuning of compassion. Emotion 11, 2, 262.

Crossref

Google Scholar

[228]

L. P. Vardoulakis, L. Ring, B. Barry, C. L. Sidner, and T. Bickmore. 2012. Designing relational agents as long term social companions for older adults. In Intelligent Virtual Agents. IVA 2012, Vol. 7502: Lecture Notes in Computer Science. Springer, Berlin, 289–302.

Digital Library

Google Scholar

[229]

P.-P. Verbeek. 2006. Persuasive technology and moral responsibility toward an ethical framework for persuasive technologies. Persuasive 6, 1–15.

Google Scholar

[230]

P. Vogt, R. van den Berghe, M. de Haas, L. Hoffmann, J. Kanero, E. Mamus, J.-M. Montanier, O. Oudgenoeg-Paz, D. H. Garcia, and F. Papadopoulos. 2019. Second language tutoring using social robots. A large-scale study. In IEEE/ACM Int. Conf. on Human–Robot Interaction (HRI 2019). IEEE, 497–505.

Crossref

Google Scholar

[231]

K. Wada and T. Shibata. October. 2007. Living with seal robots—Its sociopsychological and physiological influences on the elderly at a care house. IEEE Trans. Robot. 23, 5, 972–980. ISSN 1552-3098.

Digital Library

Google Scholar

[232]

B. E. Wampold. 2015. How important are the common factors in psychotherapy? An update. World Psychiatry 14, 3, 270–277.

Crossref

Google Scholar

[233]

A. Weiss and C. Bartneck. 2015. Meta analysis of the usage of the Godspeed Questionnaire Series. In 2015 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). IEEE, 381–388.

Digital Library

Google Scholar

[234]

A. Weiss, D. Wurhofer, and M. Tscheligi. 2009. “I love this dog”—Children’s emotional attachment to the robotic dog AIBO. Int. J. Soc. Robot. 1, 3, 243–248. ISSN 1875-4791, 1875-4805.

Crossref

Google Scholar

[235]

K. R. Wentzel. 1997. Student motivation in middle school: The role of perceived pedagogical caring. J. Educ. Psychol. 89, 3, 411–19. ISSN 0022-0663.

Crossref

Google Scholar

[236]

S. S. Wiltermuth and C. Heath. 2009. Synchrony and cooperation. Psychol. Sci. 20, 1, 1–5.

Crossref

Google Scholar

[237]

D. Winnicott. 1953. Transitional objects and transitional phenomena: A study of the first not-me possession. Int. J. Psychoanal. 34, 89–97. ISSN 1745-8315 0020-7578.

Crossref

Google Scholar

[238]

L. Yin and T. Bickmore. 2018. Culturally-aware healthcare systems. In Advances in Culturally-Aware Intelligent Systems and in Cross-Cultural Psychological Studies. Springer, 97–110.

Crossref

Google Scholar

[239]

J. Yorke, C. Adams, and N. Coady. 2008. Therapeutic value of equine–human bonding in recovery from trauma. Anthrozoös 21, 1, 17–30.

Crossref

Google Scholar

[240]

K. Zawieska, B. R. Duffy, and A. Stronska. 2012. Understanding anthropomorphisation in social robotics. Pomiary, Automatyka, Robotyka 16, 11, 78–82.

Google Scholar

[241]

R. Zhao, A. Papangelis, and J. Cassell. 2014. Towards a dyadic computational model of rapport management for human–virtual agent interaction. In International Conference on Intelligent Virtual Agents, Vol. 8637: Lecture Notes in Computer Science. Springer, Cham, 514–527.

Crossref

Google Scholar

[242]

R. Zhao, T. Sinha, A. W. Black, and J. Cassell. 2016. Socially-aware virtual agents: Automatically assessing dyadic rapport from temporal patterns of behavior. In International Conference on Intelligent Virtual Agents, Vol. 10011: Lecture Notes in Computer Science. Springer, Cham, 218–233.

Crossref

Google Scholar

Cited By

View all

Donnermann MLugrin B(2024)Introducing a Model for (Long-term) Personalization of the Behavior of a Social Robot Tutor based on Self-determination Theory and Empirical Findings2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731431(1279-1286)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731431
Xu YPrado YSeverson RLovato SCassell J(2024)Growing Up with Artificial Intelligence: Implications for Child DevelopmentHandbook of Children and Screens10.1007/978-3-031-69362-5_83(611-617)Online publication date: 6-Dec-2024
https://doi.org/10.1007/978-3-031-69362-5_83
Aylett R(2022)Interactive Narrative and Story-tellingThe Handbook on Socially Interactive Agents10.1145/3563659.3563674(463-492)Online publication date: 27-Oct-2022
https://dl.acm.org/doi/10.1145/3563659.3563674
Show More Cited By

Index Terms

Long-Term Interaction with Relational SIAs
1. Software and its engineering

Index terms have been assigned to the content through auto-classification.

Recommendations

Investigating the Long-Term Acceptance of Agile Methodologies: An Empirical Study of Developer Perceptions in Scrum Projects
HICSS '12: Proceedings of the 2012 45th Hawaii International Conference on System Sciences

Agile development methodologies have gained great interest in research and practice. As their introduction considerably changes traditional working habits of developers, the long-term acceptance of agile methodologies becomes a critical success factor. ...
Test-Driven Development of Relational Databases

Developers can use a test-driven development with database schema just as they use it with application code. Implementing test-driven database development (TDDD) involves three relatively simple steps: database refactoring, database regression testing, ...
Short-term load forecasting method based on fuzzy time series, seasonality and long memory process

Seasonal Auto Regressive Fractionally Integrated Moving Average (SARFIMA) is a well-known model for forecasting of seasonal time series that follow a long memory process. However, to better boost the accuracy of forecasts inside such data for nonlinear ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

The Handbook on Socially Interactive Agents: 20 years of Research on Embodied Conversational Agents, Intelligent Virtual Agents, and Social Robotics Volume 2: Interactivity, Platforms, Application

October 2022

710 pages

ISBN:9781450398961

DOI:10.1145/3563659

Editors:
Birgit Lugrin
Julius-Maximilians-Universität of Würzburg
,
Catherine Pelachaud
CNRS-ISIR, Sorbonne Université
,
David Traum
University of Southern California

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2022

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Chapter

Appears in

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

5
Total Citations
View Citations
32
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 11 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Donnermann MLugrin B(2024)Introducing a Model for (Long-term) Personalization of the Behavior of a Social Robot Tutor based on Self-determination Theory and Empirical Findings2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731431(1279-1286)Online publication date: 26-Aug-2024
Xu YPrado YSeverson RLovato SCassell J(2024)Growing Up with Artificial Intelligence: Implications for Child DevelopmentHandbook of Children and Screens10.1007/978-3-031-69362-5_83(611-617)Online publication date: 6-Dec-2024
Aylett R(2022)Interactive Narrative and Story-tellingThe Handbook on Socially Interactive Agents10.1145/3563659.3563674(463-492)Online publication date: 27-Oct-2022
Aylett R(2022)ForewordThe Handbook on Socially Interactive Agents10.1145/3563659.3563660(xvii-xxiv)Online publication date: 27-Oct-2022
(2022)The Handbook on Socially Interactive AgentsundefinedOnline publication date: 27-Oct-2022

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Investigating the Long-Term Acceptance of Agile Methodologies: An Empirical Study of Developer Perceptions in Scrum Projects

Test-Driven Development of Relational Databases

Short-term load forecasting method based on fuzzy time series, seasonality and long memory process