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Article

Physiological indicators for the evaluation of co-located collaborative play

Authors:

Regan L. Mandryk,

Kori M. InkpenAuthors Info & Claims

CSCW '04: Proceedings of the 2004 ACM conference on Computer supported cooperative work

Pages 102 - 111

https://doi.org/10.1145/1031607.1031625

Published: 06 November 2004 Publication History

Abstract

Emerging technologies offer new ways of using entertainment technology to foster interactions between players and connect people. Evaluating collaborative entertainment technology is challenging because success is not defined in terms of productivity and performance, but in terms of enjoyment and interaction. Current subjective methods are not sufficiently robust in this context. This paper describes an experiment designed to test the efficacy of physiological measures as evaluators of collaborative entertainment technologies. We found evidence that there is a different physiological response in the body when playing against a computer versus playing against a friend. These physiological results are mirrored in the subjective reports provided by the participants. We provide an initial step towards using physiological responses to objectively evaluate a user's experience with collaborative entertainment technology.

References

[1]

Björk, S., Falk, J., Hansson, R., and Ljungstrand, P. (2001). Pirates! Using the Physical World as a Game Board. In Proceedings of Interact 2001. Tokyo, Japan.

[2]

Björk, S., Holopainen, J., Ljungstrand, P., and Mandryk, R.L. (2002). Introduction to Special Issue on Ubiquitous Games. Personal and Ubiquitous Computing, 6: p. 358--361.

Digital Library

[3]

Boucsein, W., (1992). Electrodermal Activity. The Plenum Series in Behavioral Psychophysiology and Medicine, ed. W.J. Ray New York: Plenum Press.

[4]

Cacioppo, J.T., Berntson, G.G., Larsen, J.T., Poehlmann, K.M., and Ito, T.A., (2000). The Psychophysiology of Emotion, in Handbook of Emotions, J.M. Haviland-Jones, Editor. The Guilford Press: New York.

[5]

Cacioppo, J.T. and Tassinary, L.G. (1990). Inferring Psychological Significance From Physiological Signals. American Psychologist, 45(1): p. 16--28.

[6]

Danesh, A., Inkpen, K.M., Lau, F., Shu, K., and Booth, K.S. (2001). Geney: Designing a collaborative activity for the Palm handheld computer. In Proceedings of Conference on Human Factors in Computing Systems (CHI 2001). Seattle, WA, USA: ACM Press. p. 388--395.

Digital Library

[7]

Ekman, P., (1999). Basic Emotions, in Handbook of Cognition and Emotion, T. Dalgleish and M. Power, Editors. John Wiley & Sons, Ltd.: Sussex.

[8]

Ekman, P., Levenson, R.W., and Friesen, W.V. (1983). Autonomic Nervous System Activity Distinguishes among Emotions. Science, 221(4616): p. 1208--1210.

[9]

Fisher, C. and Sanderson, P. (1996). Exploratory Data Analysis: Exploring Continuous Observational Data. Interactions, 3 (2).

Digital Library

[10]

Holmquist, L.E., Falk, J., and Wigström, J. (1999). Supporting Group Collaboration with Inter-Personal Awareness Devices. Journal of Personal Technologies, 3(1--2).

[11]

Inkpen, K., Booth, K.S., Klawe, M., and Upitis, R. (1995). Playing Together Beats Playing Apart, Especially for Girls. In Proceedings of Computer Supported Collaborative Learning (CSCL '95).

Digital Library

[12]

Lang, P.J. (1995). The Emotion Probe. American Psychologist, 50(5): p. 372--385.

[13]

Levenson, R.W. (1992). Autonomic Nervous System Differences Among Emotions. American Psychological Society, 3(1): p. 23--27.

[14]

Magerkurth, C., Stenzel, R., and Prante, T. (2003). STARS - A Ubiquitous Computing Platform for Computer Augmented Tabletop Games. In Proceedings of Video Track of Ubiquitous Computing (UBICOMP'03). Seattle, Washington, USA.

[15]

Mandryk, R.L., Inkpen, K.M., Bilezikjian, M., Klemmer, S.R., and Landay, J.A. (2001). Supporting Children's Collaboration Across Handheld Computers. In Conference Supplement to Conference on Human Factors in Computing Systems (CHI 2001). Seattle, WA, USA. p. 255--256.

Digital Library

[16]

Mandryk, R.L., Maranan, D.S., and Inkpen, K.M. (2002). False Prophets: Exploring Hybrid Board/Video Games. In Conference Supplement to Conference on Human Factors in Computing Systems (CHI 2002). p. 640--641.

Digital Library

[17]

Marshall, C. and Rossman, G.B., (1999). Designing Qualitative Research. (3rd ed.) Thousand Oaks: Sage.

[18]

Nielsen, J., (1992). Evaluating the Thinking-Aloud Technique for Use by Computer Scientists, in Advances in Human-Computer Interaction, H.R. Hartson and D. Hix, Editors. Ablex Publishing Corporation: Norwood. p. 69--82.

Digital Library

[19]

Norman, D.A. (2002). Emotion and Design: Attractive things work better. Interactions, 9 (4).

Digital Library

[20]

Papillo, J.F. and Shapiro, D., (1990). The Cardiovascular System, in Principles of Psychophysiology: Physical, Social, and Inferential Elements, L.G. Tassinary, Editor. Cambridge University Press: Cambridge. p. 456--512.

[21]

Partala, T. and Surakka, V. (2004). The effects of affective interventions in human-computer interaction. Interacting with Computers, 16: p. 295--309.

[22]

Picard, R.W., (1997). Affective Computing. Cambridge, MA: MIT Press.

Digital Library

[23]

Rani, P., Sims, J., Brackin, R., and Sarkar, N. (2002). Online Stress Detection using Psychophysiological Signal for Implicit Human-Robot Cooperation. Robotica, 20(6): p. 673--686.

Digital Library

[24]

Rowe, D.W., Sibert, J., and Irwin, D. (1998). Heart Rate Variability: Indicator of User State as an Aid to Human-Computer Interaction. In Proceedings of Conference on Human Factors in Computing Systems (CHI '98).

Digital Library

[25]

Russell, J.A., Weiss, A., and Mendelsohn, G.A. (1989). Affect Grid: A Single-Item Scale of Pleasure and Arousal. Journal of Personality and Social Psychology, 57(3): p. 493--502.

[26]

Scheirer, J., Fernandez, R., Klein, J., and Picard, R. (2002). Frustrating the User on Purpose: A Step Toward Building an Affective Computer. Interacting with Computers, 14(2): p. 93--118.

[27]

Scott, S.D., Mandryk, R.L., and Inkpen, K.M. (2003). Understanding Children's Collaborative Interactions in Shared Environments. Journal of Computer Assisted Learning, 19(2): p. 220--228.

[28]

Stern, R.M., Ray, W.J., and Quigley, K.S., (2001). Psychophysiological Recording. (2nd ed.) New York: Oxford University Press.

[29]

Sykes, J. and Brown, S. (2003). Affective Gaming: Measuring Emotion Through the GamePad. In Conference Supplement to Conference on Human Factors in Computing Systems (CHI 2003). Ft. Lauderdale, FA, USA: ACM Press. p. 732--733.

Digital Library

[30]

Vicente, K.J., Thornton, D.C., and Moray, N. (1987). Spectral Analysis of Sinus Arrhythmia: A Measure of Mental Effort. Human Factors, 29(2): p. 171--182.

Digital Library

[31]

Ward, R.D. and Marsden, P.H. (2003). Physiological responses to different WEB page designs. International Journal of Human-Computer Studies, 59(1/2): p. 199--212.

Digital Library

[32]

Ward, R.D., Marsden, P.H., Cahill, B., and Johnson, C. (2002). Physiological Responses to Well-Designed and Poorly Designed Interfaces. In Proceedings of CHI 2002 Workshop on Physiological Computing. Minneapolis, MN, USA.

[33]

Wastell, D.G. and Newman, M. (1996). Stress, control and computer system design: a psychophysiological field study. Behaviour and Information Technology, 15(3): p. 183--192.

[34]

Wilson, G.M. (2001). Psychophysiological Indicators of the Impact of Media Quality on Users. In Proceedings of CHI 2001 Doctoral Consortium. Seattle, WA, USA.: ACM Press. p. 95--96.

Digital Library

[35]

Wilson, G.M. and Sasse, M.A. (2000). Do Users Always Know What's Good For Them? Utilizing Physiological Responses to Assess Media Quality. In Proceedings of HCI 2000: People and Computers XIV - Usability or Else! Sunderland, UK.: Springer. p. 327--339.

[36]

Wilson, G.M. and Sasse, M.A. (2000). Investigating the Impact of Audio Degradations on Users: Subjective vs. Objective Assessment Methods. In Proceedings of OZCHI 2000: Interfacing Reality in the New Millennium. Sydney, Australia. p. 135--142.

Cited By

Cruz MOliveira A(2024)Unravelling Virtual Realities—Gamers’ Perceptions of the MetaverseElectronics10.3390/electronics1313249113:13(2491)Online publication date: 25-Jun-2024
https://doi.org/10.3390/electronics13132491
Cruz MOliveira APinheiro A(2024)Metaverse Unveiled: From the Lens of Science to Common People PerspectiveComputers10.3390/computers1308019313:8(193)Online publication date: 13-Aug-2024
https://doi.org/10.3390/computers13080193
Morris MBernstein MBigham JBruckman AMonroy-Hernández AFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Is Human-AI Interaction CSCW?Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3689134(95-97)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3689134
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Index Terms

Physiological indicators for the evaluation of co-located collaborative play
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing design and evaluation methods
  2. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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Published In

cover image ACM Conferences

CSCW '04: Proceedings of the 2004 ACM conference on Computer supported cooperative work

November 2004

644 pages

ISBN:1581138105

DOI:10.1145/1031607

General Chairs:
Jim Herbsleb
Carnegie Mellon University, USA
,
Gary Olson
University of Michigan, USA

Copyright © 2004 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 November 2004

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CSCW04

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CSCW04: Computer Supported Cooperative Work

November 6 - 10, 2004

Illinois, Chicago, USA

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CSCW '04 Paper Acceptance Rate 53 of 176 submissions, 30%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

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CSCW '25

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sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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Cited By

Cruz MOliveira A(2024)Unravelling Virtual Realities—Gamers’ Perceptions of the MetaverseElectronics10.3390/electronics1313249113:13(2491)Online publication date: 25-Jun-2024
https://doi.org/10.3390/electronics13132491
Cruz MOliveira APinheiro A(2024)Metaverse Unveiled: From the Lens of Science to Common People PerspectiveComputers10.3390/computers1308019313:8(193)Online publication date: 13-Aug-2024
https://doi.org/10.3390/computers13080193
Morris MBernstein MBigham JBruckman AMonroy-Hernández AFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)Is Human-AI Interaction CSCW?Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3689134(95-97)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3689134
Truesdell EMadera M(2024)Creative Sense-Making Analysis for the Representation of Collaboration in Embodied Play2024 IEEE Conference on Games (CoG)10.1109/CoG60054.2024.10645562(1-8)Online publication date: 5-Aug-2024
https://doi.org/10.1109/CoG60054.2024.10645562
Somarathna RElvitigala DYan YQuigley AMohammadi G(2023)Exploring User Engagement in Immersive Virtual Reality Games through Multimodal Body MovementsProceedings of the 29th ACM Symposium on Virtual Reality Software and Technology10.1145/3611659.3615687(1-8)Online publication date: 9-Oct-2023
https://dl.acm.org/doi/10.1145/3611659.3615687
Kordyaka BLaato SJahn KHamari JNiehaves B(2023)The Cycle of Toxicity: Exploring Relationships between Personality and Player Roles in Toxic Behavior in Multiplayer Online Battle Arena GamesProceedings of the ACM on Human-Computer Interaction10.1145/36110437:CHI PLAY(611-641)Online publication date: 4-Oct-2023
https://dl.acm.org/doi/10.1145/3611043
Sturdee MKara HAlexander J(2023)Exploring Co-located Interactions with a Shape-Changing Bar ChartProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581214(1-13)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581214
Qiu SKaisar EDing RHan THu JRauterberg M(2023)Social Balance Ball: Designing and Evaluating an Exergame That Promotes Social Interaction between Older and Younger PlayersInternational Journal of Human–Computer Interaction10.1080/10447318.2023.217515740:11(2838-2861)Online publication date: 16-Feb-2023
https://doi.org/10.1080/10447318.2023.2175157
Lam MJörke MKing JHaghighi NLanday J(2023)User Perceptions of Privacy Interfaces in the WorkplaceDesign Thinking Research10.1007/978-3-031-36103-6_6(109-133)Online publication date: 20-Sep-2023
https://doi.org/10.1007/978-3-031-36103-6_6
Chiossi FWelsch RVilla SChuang LMayer S(2022)Virtual Reality Adaptation Using Electrodermal Activity to Support the User ExperienceBig Data and Cognitive Computing10.3390/bdcc60200556:2(55)Online publication date: 13-May-2022
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