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Effects of Human-Swarm Interaction on Subjective Time Perception: Swarm Size and Speed

Authors:

Argiro Vatakis,

Heiko HamannAuthors Info & Claims

HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

Pages 456 - 465

https://doi.org/10.1145/3568162.3578626

Published: 13 March 2023 Publication History

Abstract

Many large-scale multi-robot systems require human input during operation in different applications. To still minimize the human effort, interaction is intermittent or restricted to a subset of robots. Despite this reduced demand for human interaction, the mental load and stress can be challenging for the human operator. A specific effect of human-swarm interaction may be a hypothesized change of subjective time perception in the human operator. In a series of simple human-swarm interaction experiments with robot swarms of up to 15 physical robots, we study whether human operators have altered time perception due to the number of controlled robots or robot speeds. Using data gathered by questionnaires, we found that increased swarm size shrinks perceived time and decreased robot speeds expand the perceived time. We introduce the concept of subjective time perception to human-swarm interaction. Future research will enable swarm systems to autonomously modulate subjective timing to ease the job of human operators.

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HRI'23 Main Track - Video presentation Title: Effects of Human Swarm Interaction on Subjective Time Perception Swarm Size and Speed Authors: Julian Kaduk, Müge Cavdan, Knut Drewing, Argiro Vatakis, Heiko Hamann

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References

[1]

Lorraine G. Allan. 1979. The perception of time. Perception & Psychophysics, Vol. 26, 5 (1979), 340--354. https://doi.org/10.3758/bf03204158

[2]

H Anil, K S Nikhil, V Chaitra, and B S Gurusharan. 2015. Revolutionizing Farming Using Swarm Robotics. 2015 6th International Conference on Intelligent Systems, Modelling and Simulation (2015), 141--147. https://doi.org/10.1109/isms.2015.26

Digital Library

[3]

Hamit Basgol, Inci Ayhan, and Emre Ugur. 2022. Time Perception: A Review on Psychological, Computational, and Robotic Models. IEEE Transactions on Cognitive and Developmental Systems, Vol. 14, 2 (2022), 301--315. https://doi.org/10.1109/tcds.2021.3059045

[4]

Rita Berto, Maria Rosa Baroni, Alessandra Zainaghi, and Sandro Bettella. 2010. An exploratory study of the effect of high and low fascination environments on attentional fatigue. Journal of Environmental Psychology, Vol. 30, 4 (2010), 494--500. https://doi.org/10.1016/j.jenvp.2009.12.002

[5]

Cindy L. Bethel, Kristen Salomon, Robin R. Murphy, and Jennifer L. Burke. 2007. Survey of Psychophysiology Measurements Applied to Human-Robot Interaction. RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication (2007), 732--737. https://doi.org/10.1109/roman.2007.4415182

[6]

Francesca Bianco and Dimitri Ognibene. 2019. Functional advantages of an adaptive theory of mind for robotics: a review of current architectures. In 2019 11th Computer Science and Electronic Engineering (CEEC). IEEE, 139--143. https://doi.org/10.1109/CEEC47804.2019.8974334

[7]

Florian Block and Hans Gellersen. 2010. The impact of cognitive load on the perception of time. Proceedings of the 6th Nordic Conference on Human-Computer Interaction Extending Boundaries - NordiCHI '10 (2010), 607--610. https://doi.org/10.1145/1868914.1868985

Digital Library

[8]

Richard A. Block, Peter A. Hancock, and Dan Zakay. 2010. How cognitive load affects duration judgments: A meta-analytic review. Acta Psychologica, Vol. 134, 3 (2010), 330--343. https://doi.org/10.1016/j.actpsy.2010.03.006

[9]

Jean Botev, Knut Drewing, Heiko Hamann, Yara Khaluf, Pieter Simoens, and Argiro Vatakis. 2021. ChronoPilot - Modulating Time Perception. 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), Vol. 00 (2021), 215--218. https://doi.org/10.1109/aivr52153.2021.00049

[10]

Margaret M. Bradley and Peter J. Lang. 1994. Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, Vol. 25, 1 (1994), 49--59. https://doi.org/10.1016/0005--7916(94)90063--9

[11]

Scott W. Brown. 1995. Time, change, and motion: The effects of stimulus movement on temporal perception. Perception & Psychophysics, Vol. 57, 1 (1995), 105--116. https://doi.org/10.3758/bf03211853

[12]

Domenica Bueti and Vincent Walsh. 2009. The parietal cortex and the representation of time, space, number and other magnitudes. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 364, 1525 (2009), 1831--1840. https://doi.org/10.1098/rstb.2009.0028

[13]

Nancy E. Cantor and Ewart A. Thomas. 1977. Control of attention in the processing of temporal and spatial information in complex visual patterns. Journal of Experimental Psychology: Human Perception and Performance, Vol. 3, 2 (1977), 243--250. https://doi.org/10.1037/0096--1523.3.2.243

[14]

Laurence Casini and Françoise Macar. 1997. Effects of attention manipulation on judgments of duration and of intensity in the visual modality. Memory & Cognition, Vol. 25, 6 (1997), 812--818. https://doi.org/10.3758/bf03211325

[15]

Lorenzo Cominelli, Roberto Garofalo, and Danilo De Rossi. 2019. The Influence of Emotions on Time Perception in a Cognitive System for Social Robotics. 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Vol. 00 (2019), 1--6. https://doi.org/10.1109/ro-man46459.2019.8956416

Digital Library

[16]

Mihaly Csikszentmihalyi and Mihaly Csikzentmihaly. 1990. Flow: The psychology of optimal experience. Vol. 1990. Harper & Row New York.

[17]

Griffin Dietz, Jane L E, Peter Washington, Lawrence H Kim, and Sean Follmer. 2017. Human Perception of Swarm Robot Motion. Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (2017), 2520--2527. https://doi.org/10.1145/3027063.3053220

Digital Library

[18]

Marco Dorigo, Guy Theraulaz, and Vito Trianni. 2021. Swarm Robotics: Past, Present, and Future. Proc. IEEE, Vol. 109, 7 (2021), 1152--1165. https://doi.org/10.1109/jproc.2021.3072740

[19]

Valérie Dormal, Xavier Seron, and Mauro Pesenti. 2006. Numerosity-duration interference: A Stroop experiment. Acta Psychologica, Vol. 121, 2 (2006), 109--124. https://doi.org/10.1016/j.actpsy.2005.06.003

[20]

Sylvie Droit-Volet and Mickaël Berthon. 2017. Emotion and Implicit Timing: The Arousal Effect. Frontiers in Psychology, Vol. 8 (2017), 176. https://doi.org/10.3389/fpsyg.2017.00176

[21]

Sylvie Droit-Volet and John Wearden. 2016. Passage of Time Judgments Are Not Duration Judgments: Evidence from a Study Using Experience Sampling Methodology. Frontiers in Psychology, Vol. 7 (2016), 176. https://doi.org/10.3389/fpsyg.2016.00176

[22]

Sylvie Droit?Volet, Sophie Brunot, and Paula Niedenthal. 2004. BRIEF REPORT Perception of the duration of emotional events. Cognition and Emotion, Vol. 18, 6 (2004), 849--858. https://doi.org/10.1080/02699930341000194

[23]

Goesta Ekman, Marianne Frankenhaeuser, Birgitta Berglund, and Michael Waszak. 1969. Apparent Duration as a Function of Intensity of Vibrotactile Stimulation. Perceptual and Motor Skills, Vol. 28, 1 (1969), 151--156. https://doi.org/10.2466/pms.1969.28.1.151

[24]

Léon G. Faber, Natasha M. Maurits, and Monicque M. Lorist. 2012. Mental Fatigue Affects Visual Selective Attention. PLOS ONE, Vol. 7, 10 (10 2012), 1--10. https://doi.org/10.1371/journal.pone.0048073

[25]

Joseph Gliem and Rosemary Gliem. 2003. Calculating, Interpreting, And Reporting Cronbach's Alpha Reliability Coefficient For Likert-Type Scales. 2003 Midwest Research to Practice Conference in Adult, Continuing, and Community Education (01 2003), 82--88.

[26]

Sanford Goldstone, William T. Lhamon, and Jeri Sechzer. 1978. Light intensity and judged duration. Bulletin of the Psychonomic Society, Vol. 12, 1 (1978), 83--84. https://doi.org/10.3758/bf03329633

[27]

Samuel W Greenhouse and Seymour Geisser. 1959. On methods in the analysis of profile data. Psychometrika, Vol. 24, 2 (1959), 95--112. https://doi.org/10.1007/BF02289823

[28]

Patrick Haggard, Sam Clark, and Jeri Kalogeras. 2002. Voluntary action and conscious awareness. Nature Neuroscience, Vol. 5, 4 (2002), 382--385. https://doi.org/10.1038/nn827

[29]

Heiko Hamann. 2018. Swarm Robotics: A Formal Approach. Springer.

[30]

Jonas D Hasbach and Maren Bennewitz. 2021. The design of self-organizing human--swarm intelligence. Adaptive Behavior (2021), 105971232110175. https://doi.org/10.1177/10597123211017550

Digital Library

[31]

Aya Hussein, Leo Ghignone, Tung Nguyen, Nima Salimi, Hung Nguyen, Min Wang, and Hussein A Abbass. 2018. Towards Bi-Directional Communication in Human-Swarm Teaming: A Survey. arXiv (2018).

[32]

Soo-hyun Im and Sashank Varma. 2018. Distorted Time Perception during Flow as Revealed by an Attention-Demanding Cognitive Task. Creativity Research Journal, Vol. 30 (07 2018), 295--304. https://doi.org/10.1080/10400419.2018.1488346

[33]

Richard B. Ivry and John E. Schlerf. 2008. Dedicated and intrinsic models of time perception. Trends in Cognitive Sciences, Vol. 12, 7 (2008), 273--280. https://doi.org/10.1016/j.tics.2008.04.002

[34]

Takayuki Kanda, Hiroshi Ishiguro, and Toru Ishida. 2001. Psychological analysis on human-robot interaction. Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164), Vol. 4 (2001), 4166--4173. https://doi.org/10.1109/robot.2001.933269

[35]

S Kaneko and I Murakami. 2009. Perceived duration of visual motion increases with speed. Journal of Vision, Vol. 9, 7 (2009), 14--14. https://doi.org/10.1167/9.7.14

[36]

Azizuddin Khan, Narendra K Sharma, and Shikha Dixit. 2006. Effect of Cognitive Load and Paradigm on Time Perception. Journal of the Indian Academy of Applied Psychology, Vol. 32, 1 (2006), 37--42.

[37]

Mitsuhiko Kimoto, Yuuki Yasumatsu, and Michita Imai. 2022. Help-Estimator: Robot Requests for Help from Humans by Estimating a Person's Subjective Time. International Journal of Social Robotics, Vol. 14, 3 (2022), 617--630. https://doi.org/10.1007/s12369-021-00792--8

[38]

Andreas Kolling, Phillip Walker, Nilanjan Chakraborty, Katia Sycara, and Michael Lewis. 2016. Human Interaction With Robot Swarms: A Survey. IEEE Transactions on Human-Machine Systems, Vol. 46, 1 (2016), 9--26. https://doi.org/10.1109/thms.2015.2480801

[39]

Austin Kothig, John Muñoz, Sami Alperen Akgun, Alexander M. Aroyo, and Kerstin Dautenhahn. 2021. Connecting Humans and Robots Using Physiological Signals -- Closing-the-Loop in HRI. 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN), Vol. 00 (2021), 735--742. https://doi.org/10.1109/ro-man50785.2021.9515383

Digital Library

[40]

Kwang-Hyuk Lee, Kalyan Seelam, and Tom O'Brien. 2011. The relativity of time perception produced by facial emotion stimuli. Cognition and Emotion, Vol. 25, 8 (2011), 1471--1480. https://doi.org/10.1080/02699931.2010.544455 21432628.

[41]

William T. Lhamon and Sanford Goldstone. 1975. Movement and the judged duration of visual targets. Bulletin of the Psychonomic Society, Vol. 5, 1 (1975), 53--54. https://doi.org/10.3758/bf03336701

[42]

Marcelo A. Limeira, Luis Piardi, Vivian C. Kalempa, André S. de Oliveira, and Paulo Leitão. 2019. WsBot: A Tiny, Low-Cost Swarm Robot for Experimentation on Industry 4.0. 2019 Latin American Robotics Symposium (LARS), 2019 Brazilian Symposium on Robotics (SBR) and 2019 Workshop on Robotics in Education (WRE), Vol. 00 (2019), 293--298. https://doi.org/10.1109/lars-sbr-wre48964.2019.00058

[43]

Gerald M. Long and Robert J. Beaton. 1980. The effects of spatial frequency and target type on perceived duration. Perception & Psychophysics, Vol. 28, 5 (1980), 413--421. https://doi.org/10.3758/bf03204885

[44]

Aitao Lu, Lei Mo, and Bert H. Hodges. 2011. The Weight of Time: Affordances for an Integrated Magnitude System. Journal of Experimental Psychology: Human Perception and Performance, Vol. 37, 6 (2011), 1855--1866. https://doi.org/10.1037/a0024673

[45]

Michail Maniadakis and Panos Trahanias. 2011. Temporal Cognition: A Key Ingredient of Intelligent Systems. Frontiers in Neurorobotics, Vol. 5 (2011), 2. https://doi.org/10.3389/fnbot.2011.00002

[46]

Michail Maniadakis and Panos Trahanias. 2014. Time in consciousness, memory and human-robot interaction. In International Conference on Simulation of Adaptive Behavior (Lecture Notes in Computer Science). 11--20. https://doi.org/10.1007/978--3--319-08864--8_2

[47]

Michail Maniadakis, Marc Wittmann, Sylvie Droit-Volet, and Yoonsuck Choe. 2014. Toward embodied artificial cognition: TIME is on my side. Frontiers in Neurorobotics, Vol. 8 (2014), 25. https://doi.org/10.3389/fnbot.2014.00025

[48]

Patrizia Marti, Leonardo Giusti, Alessandro Pollini, and Alessia Rullo. 2005. Experiencing the Flow: Design Issues in Human-Robot Interaction (sOc-EUSAI '05). Association for Computing Machinery, New York, NY, USA, 69--74. https://doi.org/10.1145/1107548.1107572

Digital Library

[49]

William J. Matthews and Warren H. Meck. 2016. Temporal Cognition: Connecting Subjective Time to Perception, Attention, and Memory. Psychological Bulletin, Vol. 142, 8 (2016), 865--907. https://doi.org/10.1037/bul0000045

[50]

Lara Orlandic, Adriana Arza Valdes, and David Atienza. 2021. Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health. 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS), Vol. 00 (2021), 444--449. https://doi.org/10.1109/cbms52027.2021.00050

[51]

Jacques Penders, Lyuba Alboul, Ulf Witkowski, Amir Naghsh, Joan Saez-Pons, Stefan Herbrechtsmeier, and Mohamed El-Habbal. 2011. A Robot Swarm Assisting a Human Fire-Fighter. Advanced Robotics, Vol. 25, 1--2 (2011), 93--117. https://doi.org/10.1163/016918610x538507

[52]

Rachel L. Piferi, Keith A. Kline, Jarred Younger, and Kathleen A. Lawler. 2000. An alternative approach for achieving cardiovascular baseline: viewing an aquatic video. International Journal of Psychophysiology, Vol. 37, 2 (2000), 207--217. https://doi.org/10.1016/s0167--8760(00)00102--1

[53]

Gaëtan Podevijn, Rehan O'Grady, Nithin Mathews, Audrey Gilles, Carole Fantini-Hauwel, and Marco Dorigo. 2016. Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human--swarm interaction. Swarm Intelligence, Vol. 10, 3 (2016), 193--210. https://doi.org/10.1007/s11721-016-0124--3

[54]

T H Rammsayer and M Verner. 2014. The effect of nontemporal stimulus size on perceived duration as assessed by the method of reproduction. Journal of Vision, Vol. 14, 5 (2014), 17--17. https://doi.org/10.1167/14.5.17

[55]

T H Rammsayer and M Verner. 2015. Larger visual stimuli are perceived to last longer from time to time: The internal clock is not affected by nontemporal visual stimulus size. Journal of Vision, Vol. 15, 3 (2015), 5--5. https://doi.org/10.1167/15.3.5

[56]

Fanny Riedo, Morgane Chevalier, Stéphane Magnenat, and Francesco Mondada. 2013. Thymio II, a robot that grows wiser with children * *This work was supported by the swiss national Center of the Competence in research "Robotics". 2013 IEEE Workshop on Advanced Robotics and its Social Impacts (2013), 187--193. https://doi.org/10.1109/arso.2013.6705527

[57]

Warrick Roseboom, Zafeirios Fountas, Kyriacos Nikiforou, David Bhowmik, Murray Shanahan, and Anil K. Seth. 2019. Activity in perceptual classification networks as a basis for human subjective time perception. Nature Communications, Vol. 10, 1 (2019), 267. https://doi.org/10.1038/s41467-018-08194--7

[58]

Thomas Schmickl, Ronald Thenius, Christoph Möslinger, Jon Timmis, Andy Tyrrell, Mark Read, James Hilder, Jose Halloy, Alexandre Campo, Cesare Stefanini, Luigi Manfredi, Stefano Orofino, Serge Kernbach, Tobias Dipper, and Donny Sutantyo. 2011. CoCoRo - The Self-aware Underwater Swarm. 2011 Fifth IEEE Conference on Self-Adaptive and Self-Organizing Systems Workshops (2011), 120--126. https://doi.org/10.1109/sasow.2011.11

Digital Library

[59]

T. Shibata, M. Yoshida, and J. Yamato. 1997. Artificial emotional creature for human-machine interaction. 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation, Vol. 3 (1997), 2269--2274 vol.3. https://doi.org/10.1109/icsmc.1997.635205

[60]

Ruth Stock-Homburg. 2022. Survey of Emotions in Human--Robot Interactions: Perspectives from Robotic Psychology on 20 Years of Research. International Journal of Social Robotics, Vol. 14, 2 (2022), 389--411. https://doi.org/10.1007/s12369-021-00778--6

[61]

Ewart A. C. Thomas and Nancy E. Cantor. 1975. On the duality of simultaneous time and size perception. Perception & Psychophysics, Vol. 18, 1 (1975), 44--48. https://doi.org/10.3758/bf03199365

[62]

Sven Thönes and Kurt Stocker. 2019. A standard conceptual framework for the study of subjective time. Consciousness and Cognition, Vol. 71 (2019), 114--122. https://doi.org/10.1016/j.concog.2019.04.004

[63]

Alice Tomassini, Monica Gori, David Burr, Giulio Sandini, and Maria Concetta Morrone. 2011. Perceived duration of Visual and Tactile Stimuli Depends on Perceived Speed. Frontiers in Integrative Neuroscience, Vol. 5 (2011), 51. https://doi.org/10.3389/fnint.2011.00051

[64]

Phillip Walker, Steven Nunnally, Mike Lewis, Andreas Kolling, Nilanjan Chakraborty, and Katia Sycara. 2012. Neglect benevolence in human control of swarms in the presence of latency. In 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 3009--3014. https://doi.org/10.1109/ICSMC.2012.6378253

[65]

Vincent Walsh. 2003. A theory of magnitude: common cortical metrics of time, space and quantity. Trends in Cognitive Sciences, Vol. 7, 11 (2003), 483--488. https://doi.org/10.1016/j.tics.2003.09.002

[66]

Marc Wittmann. 2009. The inner experience of time. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 364, 1525 (2009), 1955--1967. https://doi.org/10.1098/rstb.2009.0003

[67]

World Medical Association. 2013. World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA, Vol. 310, 20 (nov 2013), 2191--2194. https://doi.org/10.1001/jama.2013.281053

[68]

Bin Xuan, Daren Zhang, Sheng He, and Xiangchuan Chen. 2007. Larger stimuli are judged to last longer. Journal of Vision, Vol. 7, 10 (2007), 2. https://doi.org/10.1167/7.10.2 io

Cited By

Sondoqah MBen Abdesslem FPopova KMcgregor MLa Delfa JGarrett RLampinen AMottola LHöök K(2024)Shaping and Being Shaped by Drones: Programming in Perception-Action LoopsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661636(2926-2945)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661636
Hénard APeillard ERivière JKubicki SCoppin GGrollman DBroadbent EJu WSoh HWilliams T(2024)Human perception of swarm fragmentationProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634961(250-258)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634961
Kaduk JCavdan MDrewing KHamann H(2024)From One to Many: How Active Robot Swarm Sizes Influence Human Cognitive Processes2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731232(1207-1212)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731232
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Index Terms

Effects of Human-Swarm Interaction on Subjective Time Perception: Swarm Size and Speed
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Collaborative interaction

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cover image ACM Conferences

HRI '23: Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction

March 2023

631 pages

ISBN:9781450399647

DOI:10.1145/3568162

General Chairs:
Ginevra Castellano
Uppsala University, Sweden
,
Laurel Riek
University of California San Diego, USA
,
Program Chairs:
Maya Cakmak
University of Washington, USA
,
Iolanda Leite
KTH Royal Institute of Technology, Sweden

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Published: 13 March 2023

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HRI '23: ACM/IEEE International Conference on Human-Robot Interaction

March 13 - 16, 2023

Stockholm, Sweden

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Cited By

Sondoqah MBen Abdesslem FPopova KMcgregor MLa Delfa JGarrett RLampinen AMottola LHöök K(2024)Shaping and Being Shaped by Drones: Programming in Perception-Action LoopsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661636(2926-2945)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661636
Hénard APeillard ERivière JKubicki SCoppin GGrollman DBroadbent EJu WSoh HWilliams T(2024)Human perception of swarm fragmentationProceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction10.1145/3610977.3634961(250-258)Online publication date: 11-Mar-2024
https://dl.acm.org/doi/10.1145/3610977.3634961
Kaduk JCavdan MDrewing KHamann H(2024)From One to Many: How Active Robot Swarm Sizes Influence Human Cognitive Processes2024 33rd IEEE International Conference on Robot and Human Interactive Communication (ROMAN)10.1109/RO-MAN60168.2024.10731232(1207-1212)Online publication date: 26-Aug-2024
https://doi.org/10.1109/RO-MAN60168.2024.10731232
Kaduk JWeilbeer FHamann H(2024)Emotional Tandem Robots: How Different Robot Behaviors Affect Human Perception While Controlling a Mobile Robot2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS58592.2024.10801974(2465-2470)Online publication date: 14-Oct-2024
https://doi.org/10.1109/IROS58592.2024.10801974
Rockbach JBennewitz M(2024)Extended Swarming with Embodied Neural Computation for Human Control over SwarmsFrom Animals to Animats 1710.1007/978-3-031-71533-4_13(169-181)Online publication date: 7-Sep-2024
https://doi.org/10.1007/978-3-031-71533-4_13
Fam ISoubra HGamal N(2023)Human-Swarm Interaction Methods’ Effect on Human Psychophysiology2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)10.1109/ICICIS58388.2023.10391199(184-189)Online publication date: 21-Nov-2023
https://doi.org/10.1109/ICICIS58388.2023.10391199

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