Considerations for Face-based Data Estimates: Affect Reactions to Videos

Gustaf Bohlin, Kristoffer Linderman, Cecilia Ovesdotter Alm, Reynold Bailey

2019

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.

Paper Citation

in Harvard Style

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) - Volume 2: HUCAPP; ISBN 978-989-758-354-4, SciTePress, pages 188-194. DOI: 10.5220/0007687301880194

in Bibtex Style

@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) - Volume 2: HUCAPP},
year={2019},
pages={188-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007687301880194},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 2: HUCAPP
TI - Considerations for Face-based Data Estimates: Affect Reactions to Videos
SN - 978-989-758-354-4
AU - Bohlin G.
AU - Linderman K.
AU - Alm C.
AU - Bailey R.
PY - 2019
SP - 188
EP - 194
DO - 10.5220/0007687301880194
PB - SciTePress