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Authors: Gustaf Bohlin 1 ; Kristoffer Linderman 1 ; Cecilia Ovesdotter Alm 2 and Reynold Bailey 2

Affiliations: 1 Malmö University and Sweden ; 2 Rochester Institute of Technology and U.S.A.

Keyword(s): Affective Reactions, Facial Expressions Estimates, Face-based Pulse Estimates.

Abstract: Video streaming is becoming the new standard for watching videos, providing an opportunity for affective video recommendation that leverages noninvasive sensing data from viewers to suggest content. Face-based data has the distinct advantage that it can be collected noninvasively with minimal equipment such as a simple webcam. Face recordings can be used for estimating individuals’ emotional states based on their facial movements and also for estimating pulse as a signal for emotional reactions. We provide a focused case-based contribution by reporting on methodological challenges experienced in a research study with face-based data estimates which are then used in predicting affective reactions. We build on lessons learned to formulate a set of recommendations that can be useful for continued work towards affective video recommendation.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Bohlin, G.; Linderman, K.; Alm, C. and Bailey, R. (2019). Considerations for Face-based Data Estimates: Affect Reactions to Videos. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - HUCAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 188-194. DOI: 10.5220/0007687301880194

@conference{hucapp19,
author={Gustaf Bohlin. and Kristoffer Linderman. and Cecilia Ovesdotter Alm. and Reynold Bailey.},
title={Considerations for Face-based Data Estimates: Affect Reactions to Videos},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - HUCAPP},
year={2019},
pages={188-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007687301880194},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - HUCAPP
TI - Considerations for Face-based Data Estimates: Affect Reactions to Videos
SN - 978-989-758-354-4
IS - 2184-4321
AU - Bohlin, G.
AU - Linderman, K.
AU - Alm, C.
AU - Bailey, R.
PY - 2019
SP - 188
EP - 194
DO - 10.5220/0007687301880194
PB - SciTePress

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