ACM Computing Surveys (CSUR) - Special issue: position statements on strategic directions in computing research
Affective computing
Do physiological data relate to traditional usability indexes?
OZCHI '05 Proceedings of the 17th Australia conference on Computer-Human Interaction: Citizens Online: Considerations for Today and the Future
International Journal of Human-Computer Studies
Implementing eye-based user-aware e-learning
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Visual complexity of websites: Effects on users' experience, physiology, performance, and memory
International Journal of Human-Computer Studies
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Display characteristics affect users' emotional arousal in 3D games
ERCIM'06 Proceedings of the 9th conference on User interfaces for all
Emotional eye movement generation based on Geneva Emotion Wheel for virtual agents
Journal of Visual Languages and Computing
Choice modeling and the brain: A study on the Electroencephalogram (EEG) of preferences
Expert Systems with Applications: An International Journal
Exploiting eye tracking in advanced e-learning systems
Proceedings of the 13th International Conference on Computer Systems and Technologies
Negative sentiment in scenarios elicit pupil dilation response: an auditory study
Proceedings of the 14th ACM international conference on Multimodal interaction
Detecting emotion from EEG signals using the emotive epoc device
BI'12 Proceedings of the 2012 international conference on Brain Informatics
UAHCI'13 Proceedings of the 7th international conference on Universal Access in Human-Computer Interaction: user and context diversity - Volume 2
Psychophysiological assessment tools for evaluation of learning technologies
HCI'13 Proceedings of the 15th international conference on Human Interface and the Management of Information: information and interaction for learning, culture, collaboration and business - Volume Part III
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This paper investigated in two experiments pupillary responses to emotionally provocative sound stimuli. In experiment one, 30 subjects' pupillary responses were measured while listening to 10 negatively and 10 positively arousing sounds, and 10 emotionally neutral sounds. In addition, the subjects rated their subjective experiences to these stimuli. The results showed that the pupil size was significantly larger after highly arousing positive and negative stimuli than after neutral stimuli with medium arousal.In experiment two, the contents of the stimuli were more controlled than in experiment one. 22 subjects' pupillary responses were measured while listening to four negatively and four positively arousing sounds, and four emotionally neutral sounds. The results showed that the pupil size was significantly larger during negative highly arousing stimuli than during moderately arousing positive stimuli. The pupil size was also significantly larger after highly arousing negative stimuli than after moderately arousing neutral and positive stimuli.The results of the two experiments suggest that pupil size discriminates during and after different kinds of emotional stimuli. Thus, the measurement of pupil size variation my be a potentially useful computer input signal, for example, for affective computing.