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Identifying Psychophysiological Correlates of Boredom and Negative Mood Induced During HCI
Author(s) -
Dimitrios Giakoumis,
Athanasios Vogiannou,
Ilkka Kosunen,
Κωνσταντίνος Μουστάκας,
Dimitrios Tzovaras,
George Hassapis
Publication year - 2010
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0002812600030012
Subject(s) - boredom , modalities , mood , affective computing , focus (optics) , computer science , arousal , cognitive psychology , psychophysiology , psychology , artificial intelligence , psychotherapist , social psychology , social science , physics , neuroscience , sociology , optics
This paper presents work conducted towards the automatic recognition of negative emotions like boredom and frustration, induced due to the subject’s loss of interest during HCI. Focus was on the basic pre-requisite for the future development of systems utilizing an “affective loop”, namely effective recognition of the human affective state. Based on the concept of “repetition that causes loss of interest”, an experiment for the monitoring and analysis of biosignals during repetitive HCI tasks was deployed. During this experiment, subjects were asked to play a simple labyrinth-based 3D video game repeatedly, while biosignals from different modalities were monitored. Twenty one different subjects participated in the experiment, allowing for a rich biosignals database to be populated. Statistically significant correlations were identified between features extracted from two of the modalities used in the experiment (ECG and GSR) and the actual affective state of the subjects.

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