Abstract
Emotions are omnipresent in our lives. They influence our health, decision making, and social interactions—bilateral as well as multilateral. Hence also modern forms of opinion building and exchange, e.g., on e-participation platforms, should consider the effects of emotions on individual and group level. Previous research on group interactions demonstrated that providing the members with information about the affective state of the entire group, reciprocally influences the affective states of the individuals and can even increase group performance. Hence, in the current short paper we propose group affect live biofeedback (LBF) as a beneficial feature for e-participation platforms. We want to examine how group affect LBF based on the participant’s heart rate impacts participation behavior.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Agrawal, A.K., Catalini, C., Goldfarb, A.: Some simple economics of crowdfunding. In: Lerner, J., Stern, S. (eds.) Innovation Policy and the Economy, pp. 63–97. University of Chicago Press, Chicago (2013)
Cabannes, Y.: Participatory budgeting: a significant contribution to participatory democracy. Env. Urban. 16, 27–46 (2004)
Send, H., Schildhauer, T.: Partizipationsstudie 2014: Online Mitmachen und Entscheiden. Berlin (2014)
Newton, K.: Trust and political disenchantment. In: Eder, C., Mochmann, I.C., Quandt, M. (eds.) Political Trust and Disenchantment with Politics: International Perspectives, pp. 19–30. Brill Academic Pub, Leiden (2014)
Parycek, P., Schöllhammer, R., Schossböck, J.: Emotions and E-participation of young people: a preliminary study. In: 48th Hawaii International Conference on System Science, pp. 2415–2424. AIS (2015)
Schaaff, K., Adam, M.T.P.: Measuring emotional arousal for online applications: evaluation of ultra-short term heart rate variability measures. In: 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, pp. 362–368. IEEE (2013)
Barsade, S.G., Knight, A.P.: Group affect. Ann. Rev. Organ. Psychol. Organ. Behav. 2, 1–26 (2014)
Astor, P.J., Adam, M.T.P., Jerčić, P., Schaaff, K., Weinhardt, C.: Integrating biosignals into information systems: a NeuroIS tool for improving emotion regulation. J. Manag. Inf. Syst. 30, 247–278 (2013)
Barsade, S.G., Gibson, D.E.: Group emotion: a view from top and bottom. Res. Manag. Groups Teams 1, 81–102 (1998)
Kelly, J.R., Barsade, S.G.: Mood and emotions in small groups and work teams. Organ. Behav. Hum. Decis. Process. 86, 99–130 (2001)
Al Osman, H., Eid, M., Saddik., A.: U-Biofeedback: a multimedia-based reference model for ubiquitous biofeedback systems. Multimedia Tools Appl. 72, 3143–3168 (2013)
Knight, A.P.: Mood at the midpoint: affect and change in exploratory search over time in teams that face a deadline. Organ. Sci. 26, 1–20 (2013)
Walter, F., Bruch, H.: The positive group affect spiral: a dynamic model of the emergence of positive affective similarity in work groups. J. Organ. Behav. 29, 239–261 (2008)
Krahmer, E., Swerts, M.: Audiovisual expression of emotions in communication. In: Westerink, J., Krans, M., Ouwerkerk, M. (eds.) Sensing Emotions: The Impact of Context on Experience Measurements, pp. 85–106. Springer, Eindhoven (2011)
Picard, R., Vyzas, E., Healey, J.: Toward machine emotional intelligence: analysis of affective physiological state. IEEE Trans. Pattern Anal. Mach. Intell. 23, 1175–1191 (2001)
Dimoka, A., Pavlou, P.A., Davis, F.D.: Research commentary-NeuroIS: the potential of cognitive neuroscience for information systems research. Inf. Syst. Res. 22, 687–702 (2011)
Dimoka, A., Banker, R., Benbasat, I., Davis, F., Dennis, A., Gefen, D., Gupta, A., Ischebeck, A., Kenning, P., Pavlou, P., Müller-Putz, G., Riedl, R., Brocke, J. vom, Weber, B.: On the use of neurophysiological tools in IS research: developing a research agenda for NeuroIS. MIS Q. 36, 679–702 (2012)
Vom Brocke, J., Riedl, R., Léger, P.-M.: Application strategies for neuroscience in information systems design science research. J. Comput. Inf. Syst. 53, 1–13 (2012)
Riedl, R., Davis, F., Hevner, A.: Towards a NeuroIS research methodology: intensifying the discussion on methods, tools, and measurement. J. Assoc. Inf. Syst. 15, i–xxxv (2014)
Wu, H.-Y., Rubinstein, M., Shih, E., Guttag, J., Durand, F., Freeman, W.: Eulerian video magnification for revealing subtle changes in the world. ACM Trans. Graph. 31, 1–8 (2012)
Hearn, T.: Webcam Pulse Detector. https://github.com/thearn/webcam-pulse-detector
Mandryk, R.L., Dielschneider, S., Kalyn, M.R., Bertram, C.P., Gaetz, M., Doucette, A., Taylor, B.A., Orr, A.P., Keiver, K.: Games as neurofeedback training for children with FASD. In: Proceedings of the 12th International Conference on Interaction Design and Children, pp. 165–172. ACM, New York (2013)
Ouwerkerk, M., Dandine, P., Bilio, D., Kocielnik, R., Mercurio, J., Huijgen, H., Westerink, J.H.D.M.: Wireless multi sensor bracelet with discreet feedback. In: Proceedings of the 4th Conference on Wireless Health, Article No. 6. ACM, Baltimore (2013)
Djajadiningrat, T., Geurts, L., Munniksma, P.R., Christiaansen, G., Bont, J. de: Rationalizer: an emotion mirror for online traders. In: Proceedings of the 5th International Workshop on Design and Semantics of Form and Movement, pp. 39–48 (2009)
Dholakia, R.R., Zhao, M., Dholakia, N., Fortin, D.R.: Interactivity and revisits to websites: a theoretical framework, vol. 17, pp. 108–115. RITIM Working Papers, Kingston (2000)
Tausczik, Y.R., Pennebaker, J.W.: The psychological meaning of words: LIWC and computerized text analysis methods. J. Lang. Soc. Psychol. 29, 24–54 (2010)
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retr. 2, 91–231 (2008)
Hess, T., Fuller, M., Campbell, D.: Designing interfaces with social presence: using vividness and extraversion to create social recommendation agents. J. Assoc. Inf. Syst. 10, 889–919 (2009)
Kumar, N., Benbasat, I.: The Influence of recommendations and consumer reviews on evaluations of websites. Inf. Syst. Res. 17, 425–439 (2006)
Hassanein, K., Head, M.: Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. Int. J. Hum. Comput. Stud. 65, 689–708 (2007)
Fenton O’Creevy, M., Soane, E., Nicholson, N., Willman, P.: Thinking, feeling and deciding: the influence of emotions on the decision making and performance of traders. J. Organ. Behav. 32, 1044–1061 (2011)
Salovey, P., Mayer, J.: Emotional intelligence. Imagination Cogn. Pers. 9, 185–211 (1989)
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)
Venkatesh, V., Davis, F.D., College, S.M.W.: Theoretical acceptance extension model: field four studies of the technology longitudinal. Manage. Sci. 46, 186–204 (2000)
Fitbit: Fitbit Official Site for Activity Trackers and More. http://www.fitbit.com/#i.1mxltfgou4fqdt
Azumio Inc.: Instant Heart Rate. https://play.google.com/store/apps/details?id=si.modula.android.instantheartrate&hl=en
Runtastic: Runtastic Heart Rate Pulse. https://play.google.com/store/apps/details?id=com.runtastic.android.heartrate.lite
Viet Dzung, P.: Heart Rate Plus. https://play.google.com/store/apps/details?id=com.dungelin.heartrate
Poh, M.-Z., Swenson, N., Picard, R.W.: A wearable sensor for unobtrusive, long-term assesment of electrodermal activity. IEEE Trans. Biomed. Eng. 57, 1243–1252 (2010)
Schaaff, K., Degen, R., Adler, N., Adam, M.T.P.: Measuring affect using a standard mouse device. Biomed. Eng. 57, 761–764 (2012)
Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion. In: Proceedings of LREC 2010, pp. 1320–1326. ELRA, Valletta (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Lux, E., Hawlitschek, F., Teubner, T., Niemeyer, C., Adam, M.T. (2015). A Hot Topic—Group Affect Live Biofeedback for Participation Platforms. In: Davis, F., Riedl, R., vom Brocke, J., Léger, PM., Randolph, A. (eds) Information Systems and Neuroscience. Lecture Notes in Information Systems and Organisation, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-18702-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-18702-0_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18701-3
Online ISBN: 978-3-319-18702-0
eBook Packages: Business and EconomicsBusiness and Management (R0)