Abstract
In todays videogames user feedback is often provided through raw statistics and scoreboards. We envision that incorporating empathic feedback matching the player’s current mood will improve the overall gaming experience. In this paper we present Bro-cam, a novel system that provides empathic feedback to the player based on their body postures. Different body postures of the players are used as an indicator for their openness. From their level of openness, Bro-cam profiles the players into different personality types ranging from introvert to extrovert. Empathic feedback is then automatically generated and matched to their preferences for certain humoristic feedback statements. We use a depth camera to track the player’s body postures and movements during the game and analyze these to provide customized feedback. We conducted a user study involving 32 players to investigate their subjective assessment on the empathic game feedback. Semi-structured interviews reveal that participants were positive about the empathic feedback and Bro-cam significantly improves their game experience.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Aviezer, H., Trope, Y., Todorov, A.: Body cues, not facial expressions, discriminate between intense positive and negative emotions. Science 338(6111), 1225–1229 (2012)
Berkovsky, S., Bhandari, D., Kimani, S., Colineau, N., Paris, C.: Designing Games to Motivate Physical Activity. In: PERSUASIVE 2009 - Persuasive Technology, Fourth International Conference, pp. 37–40. Springer, Heidelberg (2009)
Bickmore, T., Gruber, A., Picard, R.: Establishing the computer-patient working alliance in automated health behavior change interventions. Patient Education and Counseling 59, 21–30 (2005)
Blumenfeld, R.: Tools and Techniques for Character Interpretation: A Handbook of Psychology for Actors, Writers, and Directors, pp. 115–128. Limelight Editions (2006)
Csikszentmihalyi, M.: Flow: The Psychology of Optimal Experience. Harper Perennial, New York (1990)
Dekker, A., Champion, E.: Please Biofeed the Zombies: Enhancing the Gameplay and Display of a Horror Game Using Biofeedback. In: Proc. of DiGRA (2007)
Eysenck, S., Eysenck, H.J., Barrett, P.: A revised version of the psychoticism scale. Personality and Individual Differences 6, 21–29 (1985)
Gamberini, L., Spagnolli, A., Corradi, N., Jacucci, G., Tusa, G., Mikkola, T., Zamboni, L., Hoggan, E.: Tailoring Feedback to Users’ Actions in a Persuasive Game for Household Electricity Conservation. In: Bang, M., Ragnemalm, E.L. (eds.) PERSUASIVE 2012. LNCS, vol. 7284, pp. 100–111. Springer, Heidelberg (2012)
Gaver, W.: Designing for emotion (among other things). Philosophical Transactions of the Royal Society 364, 3597–3604 (2009)
Gilleade, K., Dix, A., Allanson, J.: Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me. In: Proc. of DiGRA, pp. 16–20 (2005)
Höök, K.: Affective Loop Experiences – What Are They? In: Oinas-Kukkonen, H., Hasle, P., Harjumaa, M., Segerståhl, K., Øhrstrøm, P. (eds.) PERSUASIVE 2008. LNCS, vol. 5033, pp. 1–12. Springer, Heidelberg (2008)
Kuikkaniemi, K., Laitinen, T., Turpeinen, M., Saari, T., Kosunen, I., Ravaja, N.: The influence of implicit and explicit biofeedback in first-person shooter games. In: Proc. of CHI 2010, pp. 859–868. ACM Press (2010)
Pantic, M., Caridakis, G., André, E., Kim, J., Karpouzis, K., Kollias, S.: Multimodal emotion recognition from low-level cues. In: Cowie, R., Petta, P., Pelachaud, C. (eds.) Emotion-Oriented System, pp. 115–132. Springer, Heidelberg (2011)
Nacke, L.E., Kalyn, M., Lough, C., Mandryk, R.L.: Biofeedback game design: using direct and indirect physiological control to enhance game interaction. In: Proc. of CHI 2011, pp. 103–112. ACM Press (2011)
Pfeifer, B.: Narrative Combat: Using AI to enhance tension in an Action Game. In: Kirmse, A. (ed.) Game Programming Gems 4, pp. 315–324. Charles River Media (2004)
Picard, R.W.: Affective Computing. MIT Press, Cambridge (2000)
Picard, R.W.: Affective Computing: Challenges. International Journal of Human-Computer Studies 59(1-2), 55–64 (2003)
Strapparava, C., Stock, O., Mihalcea, R.: Computational humour. In: Cowie, R., Petta, P., Pelachaud, C. (eds.) Emotion-Oriented Systems, pp. 609–634. Springer, Heidelberg (2011)
Tan, S., Schöning, J., Luyten, K., Coninx, K.: Informing Intelligent User Interfaces by Inferring Affective States from Body Postures in Ubiquitous Computing Environments. In: Proc. of IUI 2013. ACM Press (2013)
Tapus, A., Tapus, C., Matarić, M.J.: User-Robot Personality Matching and Robot Behavior Adaptation for Post-Stroke Rehabilitation Therapy. Intelligent Service Robotics Journal, 169–183 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Tan, C.S.S., Schöning, J., Barnes, J.S., Luyten, K., Coninx, K. (2013). Bro-cam: Improving Game Experience with Empathic Feedback Using Posture Tracking. In: Berkovsky, S., Freyne, J. (eds) Persuasive Technology. PERSUASIVE 2013. Lecture Notes in Computer Science, vol 7822. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37157-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-37157-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37156-1
Online ISBN: 978-3-642-37157-8
eBook Packages: Computer ScienceComputer Science (R0)