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

Hristo Valev, Tim Leufkens, Corina Sas, Joyce Westerink, Ron Dotsch

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationPervasive Computing Paradigms for Mental Health - 9th International Conference, MindCare 2019, Proceedings
EditorsPietro Cipresso, Silvia Serino, Daniela Villani
Place of PublicationCham
PublisherSpringer
Pages231-241
Number of pages11
ISBN (Electronic)978-3-030-25872-6
ISBN (Print)978-3-030-25871-9
DOIs
Publication statusPublished - 11 Jul 2019
Event9th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2019 - Buenos Aires, Argentina
Duration: 23 Apr 201924 Apr 2019

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume288
ISSN (Print)1867-8211

Conference

Conference9th International Conference on Pervasive Computing Paradigms for Mental Health, MindCare 2019
CountryArgentina
CityBuenos Aires
Period23/04/1924/04/19

    Fingerprint

Keywords

  • Mood assessment
  • Self-report system
  • User interface

Cite this

Valev, H., Leufkens, T., Sas, C., Westerink, J., & Dotsch, R. (2019). Evaluation of a self-report system for assessing mood using facial expressions. In P. Cipresso, S. Serino, & D. Villani (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). Cham: Springer. https://doi.org/10.1007/978-3-030-25872-6_19