@inproceedings{
 title = {DiVA: Exploring the usage of pupil diameter to elicit valence and arousal},
 type = {inproceedings},
 year = {2017},
 keywords = {Arousal,Eye Tracker,Pupil Diameter,Valence},
 id = {1391e790-9d4f-320e-92f4-46541e63a9ea},
 created = {2021-04-16T22:17:58.083Z},
 file_attached = {false},
 profile_id = {c71211e3-ed8a-349e-a8ab-12f9dd12f2a5},
 last_modified = {2021-04-16T22:17:58.083Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {false},
 hidden = {false},
 private_publication = {true},
 abstract = {Most of the typical digital systems are not fully aware of the users’ affect states. Adapting to the users’ state showed great potential for enhancing user experiences. However, most approaches for sensing affective states,specifically arousal and valence, involve expensive and obtrusive technologies, such as physiological sensors attached to users’ bodies. This paper present an indicator of the users’ affect based on eye tracking. We use a commercial eye tracker to monitor the user’s pupil size to estimate their arousal and valence in response to videos of different content. To assess the effect of different content (namely pleasant and unpleasant) influencing the arousal and valence on the pupil diameter, we conducted a user study with 25 participants. The study showed that different content of videos affect the pupil diameter, thereby giving an indicator about the user’s state. We provide empirical evidence showing how to unobtrusively detect changes in users’ state. Our initial investigation gives rise to eye-based user’s tracking, which introduces the potential of new applications in the field of affect-aware computing.},
 bibtype = {inproceedings},
 author = {Kassem, K. and Salah, J. and Abdrabou, Y. and Morsy, M. and El-Gendy, R. and Abdelrahman, Y. and Abdennadher, S.},
 doi = {10.1145/3152832.3152836},
 booktitle = {ACM International Conference Proceeding Series}
}

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