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A Serious Game using Physiological Interfaces for Emotion Regulation Training in the context of Financial Decision-Making
Blekinge Institute of Technology, School of Computing.ORCID iD: 0000-0003-3298-7164
FZI Forschungszentrum Informatik, DEU.
Karlsruhe Institute of Technology, DEU.
Blekinge Institute of Technology, School of Computing.
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2012 (English)In: ECIS 2012 - Proceedings of the 20th European Conference on Information Systems, AIS Electronic Library (AISeL) , 2012, p. 1-14Conference paper, Published paper (Refereed)
Abstract [en]

Research on financial decision-making shows that traders and investors with high emotion regulation capabilities perform better in trading. But how can the others learn to regulate their emotions? ‘Learning by doing’ sounds like a straightforward approach. But how can one perform ‘learning by doing’ when there is no feedback? This problem particularly applies to learning emotion regulation, because learners can get practically no feedback on their level of emotion regulation. Our research aims at providing a learning environment that can help decision-makers to improve their emotion regulation. The approach is based on a serious game with real-time biofeedback. The game is settled in a financial context and the decision scenario is directly linked to the individual biofeedback of the learner’s heart rate data. More specifically, depending on the learner’s ability to regulate emotions, the decision scenario of the game continuously adjusts and thereby becomes more (or less) difficult. The learner wears an electrocardiogram sensor that transfers the data via Bluetooth to the game. The game itself is evaluated at several levels.

Place, publisher, year, edition, pages
AIS Electronic Library (AISeL) , 2012. p. 1-14
Keywords [en]
Biofeedback, Emotion Regulation, Serious Games
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:bth-17556OAI: oai:DiVA.org:bth-17556DiVA, id: diva2:1284119
Conference
20th European Conference on Information Systems (ECIS 2012), Barcelona
Note

open access

Available from: 2019-01-30 Created: 2019-01-30 Last updated: 2019-02-11Bibliographically approved
In thesis
1. The Effects of Emotions and Their Regulation on Decision-making Performance in Affective Serious Games
Open this publication in new window or tab >>The Effects of Emotions and Their Regulation on Decision-making Performance in Affective Serious Games
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Emotions are thought to be one of the key factors that critically influence human decision-making. Emotion-regulation can help to mitigate emotion-related decision biases and eventually lead to a better decision performance. Serious games emerged as a new angle introducing technological methods to practicing emotion-regulation, where meaningful biofeedback information communicates player's affective states to a series of informed gameplay choices. These findings motivate the notion that in the decision context of serious games, one would benefit from awareness and regulation of such emerging emotions.

This thesis explores the design and evaluation methods for creating serious games where emotion-regulation can be practiced using physiological biofeedback measures. Furthermore, it investigates emotions and the effect of emotion-regulation on decision performance in serious games. Using the psychophysiological methods in the design of such games, emotions and their underlying neural mechanism have been explored.

The results showed the benefits of practicing emotion-regulation in serious games, where decision-making performance was increased for the individuals who down-regulated high levels of arousal while having an experience of positive valence. Moreover, it increased also for the individuals who received the necessary biofeedback information. The results also suggested that emotion-regulation strategies (i.e., cognitive reappraisal) are highly dependent on the serious game context. Therefore, the reappraisal strategy was shown to benefit the decision-making tasks investigated in this thesis. The results further suggested that using psychophysiological methods in emotionally arousing serious games, the interplay between sympathetic and parasympathetic pathways could be mapped through the underlying emotions which activate those two pathways. Following this conjecture, the results identified the optimal arousal level for increased performance of an individual on a decision-making task, by carefully balancing the activation of those two pathways. The investigations also validated these findings in the collaborative serious game context, where the robot collaborators were found to elicit diverse affect in their human partners, influencing performance on a decision-making task. Furthermore, the evidence suggested that arousal is equally or more important than valence for the decision-making performance, but once optimal arousal has been reached, a further increase in performance may be achieved by regulating valence. Furthermore, the results showed that serious games designed in this thesis elicited high physiological arousal and positive valence. This makes them suitable as research platforms for the investigation of how these emotions influence the activation of sympathetic and parasympathetic pathways and influence performance on a decision-making task.

Taking these findings into consideration, the serious games designed in this thesis allowed for the training of cognitive reappraisal emotion-regulation strategy on the decision-making tasks. This thesis suggests that using evaluated design and development methods, it is possible to design and develop serious games that provide a helpful environment where individuals could practice emotion-regulation through raising awareness of emotions, and subsequently improve their decision-making performance.

Place, publisher, year, edition, pages
Karlskrona: Blekinge Tekniska Högskola, 2019. p. 297
Series
Blekinge Institute of Technology Doctoral Dissertation Series, ISSN 1653-2090 ; 6
Keywords
Serious Games, Game Design, Emotions, Biofeedback, Emotion-Regulation, Decision-Making
National Category
Computer Systems
Identifiers
urn:nbn:se:bth-17557 (URN)978-91-7295-370-3 (ISBN)
Public defence
2019-04-26, J1640, Campus Gräsvik, Karlskrona, 09:12 (English)
Opponent
Supervisors
Available from: 2019-01-31 Created: 2019-01-30 Last updated: 2019-04-25Bibliographically approved

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Jerčić, PetarHilborn, OlleLindley, CraigSennersten, Charlotte

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