Standard
Evaluation of a self-report system for assessing mood using facial expressions. /
Valev, Hristo; Leufkens, Tim
; Sas, Corina et al.
Pervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings. ed. / Silvia Serino; Daniela Villani; Pietro Cipresso. Springer, 2019. p. 231-241 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 288).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Valev, H, Leufkens, T
, Sas, C, Westerink, J & Dotsch, R 2019,
Evaluation of a self-report system for assessing mood using facial expressions. in S Serino, D Villani & P Cipresso (eds),
Pervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 288, Springer, pp. 231-241.
https://doi.org/10.1007/978-3-030-25872-6_19
APA
Valev, H., Leufkens, T.
, Sas, C., Westerink, J., & Dotsch, R. (2019).
Evaluation of a self-report system for assessing mood using facial expressions. In S. Serino, D. Villani, & P. Cipresso (Eds.),
Pervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings (pp. 231-241). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 288). Springer.
https://doi.org/10.1007/978-3-030-25872-6_19
Vancouver
Valev H, Leufkens T
, Sas C, Westerink J, Dotsch R.
Evaluation of a self-report system for assessing mood using facial expressions. In Serino S, Villani D, Cipresso P, editors, Pervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings. Springer. 2019. p. 231-241. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-030-25872-6_19
Author
Bibtex
@inproceedings{e00756b6183647acbc381ba3b8145529,
title = "Evaluation of a self-report system for assessing mood using facial expressions",
abstract = "Effective and frequent sampling of mood through self-reportscould enable a better understanding of the interplay between mood andevents influencing it. To accomplish this, we built a mobile application featuring a sadness-happiness visual analogue scale and a facialexpression-based scale. The goal is to evaluate, whether a facial expression based scale could adequately capture mood. The method and mobile application were evaluated with 11 participants. They rated the mood of characters presented in a series of vignettes, using both scales. Participants also completed a user experience survey rating the two assessment methods and the mobile interface. Findings reveal a Pearson{\textquoteright}s correlation coefficient of 0.97 between the two assessment scales and a stronger preference for the face scale. We conclude with a discussion of the implications of our findings for mood self-assessment and an outline future research.",
keywords = "Mood assessment, Self-report system, User interface",
author = "Hristo Valev and Tim Leufkens and Corina Sas and Joyce Westerink and Ron Dotsch",
note = "The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-030-25872-6_19",
year = "2019",
month = apr,
day = "23",
doi = "10.1007/978-3-030-25872-6_19",
language = "English",
isbn = "9783030258719",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer",
pages = "231--241",
editor = "Silvia Serino and Daniela Villani and Pietro Cipresso",
booktitle = "Pervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings",
}
RIS
TY - GEN
T1 - Evaluation of a self-report system for assessing mood using facial expressions
AU - Valev, Hristo
AU - Leufkens, Tim
AU - Sas, Corina
AU - Westerink, Joyce
AU - Dotsch, Ron
N1 - The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-030-25872-6_19
PY - 2019/4/23
Y1 - 2019/4/23
N2 - Effective and frequent sampling of mood through self-reportscould enable a better understanding of the interplay between mood andevents influencing it. To accomplish this, we built a mobile application featuring a sadness-happiness visual analogue scale and a facialexpression-based scale. The goal is to evaluate, whether a facial expression based scale could adequately capture mood. The method and mobile application were evaluated with 11 participants. They rated the mood of characters presented in a series of vignettes, using both scales. Participants also completed a user experience survey rating the two assessment methods and the mobile interface. Findings reveal a Pearson’s correlation coefficient of 0.97 between the two assessment scales and a stronger preference for the face scale. We conclude with a discussion of the implications of our findings for mood self-assessment and an outline future research.
AB - Effective and frequent sampling of mood through self-reportscould enable a better understanding of the interplay between mood andevents influencing it. To accomplish this, we built a mobile application featuring a sadness-happiness visual analogue scale and a facialexpression-based scale. The goal is to evaluate, whether a facial expression based scale could adequately capture mood. The method and mobile application were evaluated with 11 participants. They rated the mood of characters presented in a series of vignettes, using both scales. Participants also completed a user experience survey rating the two assessment methods and the mobile interface. Findings reveal a Pearson’s correlation coefficient of 0.97 between the two assessment scales and a stronger preference for the face scale. We conclude with a discussion of the implications of our findings for mood self-assessment and an outline future research.
KW - Mood assessment
KW - Self-report system
KW - User interface
U2 - 10.1007/978-3-030-25872-6_19
DO - 10.1007/978-3-030-25872-6_19
M3 - Conference contribution/Paper
SN - 9783030258719
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 231
EP - 241
BT - Pervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings
A2 - Serino, Silvia
A2 - Villani, Daniela
A2 - Cipresso, Pietro
PB - Springer
ER -
