Evaluation of a self-report system for assessing mood using facial expressions

Valev, Hristo and Leufkens, Tim and Sas, Corina and Westerink, Joyce and Dotsch, Ron (2019) Evaluation of a self-report system for assessing mood using facial expressions. In: 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 . Springer, pp. 231-241. ISBN 9783030258719

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Effective and frequent sampling of mood through self-reports could enable a better understanding of the interplay between mood and events influencing it. To accomplish this, we built a mobile application featuring a sadness-happiness visual analogue scale and a facial expression-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.

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The final publication is available at Springer via https://link.springer.com/chapter/10.1007%2F978-3-030-25872-6_19
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22 Jun 2019 00:58
Last Modified:
28 Sep 2023 23:55