Petar Jerčić
Blekinge Institute of Technology
18 Papers
21 Citations
Petar Jerčić is an academic researcher from Blekinge Institute of Technology. The author has contributed to research in topics: Context (language use) & Computer science. The author has an hindex of 7, co-authored 18 publications.
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Papers
Integrating Biosignals into Information Systems: A NeuroIS Tool for Improving Emotion Regulation
TL;DR: This study designs and implemented a serious game-based NeuroIS tool that continuously displays the player's individual emotional state, via biofeedback, and adapts the difficulty of the decision environment to this emotional state and provides specific design guidelines for how bio feedback can be integrated into information systems.
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•Proceedings Article
A serious game using physiological interfaces for emotion regulation training in the context of financial decision-making
Petar Jerčić
- 01 Jan 2012
TL;DR: This research aims at providing a learning environment that can help decision-makers to improve their emotion regulation, based on a serious game with real-time biofeedback that continuously adjusts depending on the learner’s ability to regulate emotions.
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Modeling cognitive load and physiological arousal through pupil diameter and heart rate
TL;DR: Evidence shows that in a situation where a substantial level of cognitive activity is required, only that activity will be observable on the pupil diameter, dominating over the physiological arousal effect indicated by the pupillary response.
Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report
Marko Horvat,Marko Dobrinic,Matej Novosel,Petar Jerčić +3 more
- 01 Jan 2018
TL;DR: The preliminary results show that statistically significant correlations between valence and arousal ratings of pictures and EEG bands are present but highly personalized, and if emotion estimation is not strictly necessary the authors recommend using devices with fewer electrodes.
The Effect of Emotions and Social Behavior on Performance in a Collaborative Serious Game Between Humans and Autonomous Robots
Petar Jerčić,Wei Wen,Johan Hagelbäck,Veronica Sundstedt +3 more
- 01 Jan 2018
TL;DR: It was found that the results did not show a statistically significant difference in participants’ performance between the human or robot collaborators, and it was suggested that using robot collaborators might be as efficient as using human ones, in the context of serious game collaborative tasks.