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Erschienen in:
NeuroIS Knowledge Discovery Approach to Prediction of Traumatic Brain Injury Survival Rates: A Semantic Data Analysis Regression Feasibility Study Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

A Hot Topic—Group Affect Live Biofeedback for Participation Platforms

verfasst von : Ewa Lux, Florian Hawlitschek, Timm Teubner, Claudia Niemeyer, Marc T.P. Adam

Erschienen in: Information Systems and Neuroscience

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel An Investigation of the Nature of Information Systems from a Neurobiological Perspective
Nächstes Kapitel (Online)-Buying Behavior and Personality Traits: Evolutionary Psychology and Neuroscience Based
Literatur
1.
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)
2.
Cabannes, Y.: Participatory budgeting: a significant contribution to participatory democracy. Env. Urban. 16, 27–46 (2004)
3.
Send, H., Schildhauer, T.: Partizipationsstudie 2014: Online Mitmachen und Entscheiden. Berlin (2014)
4.
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)
5.
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)
6.
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)
7.
Barsade, S.G., Knight, A.P.: Group affect. Ann. Rev. Organ. Psychol. Organ. Behav. 2, 1–26 (2014)
8.
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)CrossRef
9.
Barsade, S.G., Gibson, D.E.: Group emotion: a view from top and bottom. Res. Manag. Groups Teams 1, 81–102 (1998)
10.
Kelly, J.R., Barsade, S.G.: Mood and emotions in small groups and work teams. Organ. Behav. Hum. Decis. Process. 86, 99–130 (2001)CrossRef
11.
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)
12.
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)
13.
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)CrossRef
14.
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)
15.
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)CrossRef
16.
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)CrossRef
17.
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)
18.
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)
19.
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)
20.
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)CrossRef
21.
22.
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)
23.
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)
24.
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)
25.
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)
26.
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)CrossRef
27.
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Found. Trends Inf. Retr. 2, 91–231 (2008)CrossRef
28.
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)
29.
Kumar, N., Benbasat, I.: The Influence of recommendations and consumer reviews on evaluations of websites. Inf. Syst. Res. 17, 425–439 (2006)CrossRef
30.
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)CrossRef
31.
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)
32.
Salovey, P., Mayer, J.: Emotional intelligence. Imagination Cogn. Pers. 9, 185–211 (1989)CrossRef
33.
Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13, 319–340 (1989)CrossRef
34.
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)CrossRef
35.
36.
37.
38.
39.
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)CrossRef
40.
Schaaff, K., Degen, R., Adler, N., Adam, M.T.P.: Measuring affect using a standard mouse device. Biomed. Eng. 57, 761–764 (2012)CrossRef
41.
Pak, A., Paroubek, P.: Twitter as a corpus for sentiment analysis and opinion. In: Proceedings of LREC 2010, pp. 1320–1326. ELRA, Valletta (2010)
Metadaten
Titel
A Hot Topic—Group Affect Live Biofeedback for Participation Platforms
verfasst von
Ewa Lux
Florian Hawlitschek
Timm Teubner
Claudia Niemeyer
Marc T.P. Adam
Copyright-Jahr
2015
Buch
Information Systems and Neuroscience

Print ISBN: 978-3-319-18701-3

Electronic ISBN: 978-3-319-18702-0

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-18702-0_5

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