Pervasive Computing Paradigms for Mental Health. 9th International Conference, MindCare 2019, Buenos Aires, Argentina, April 23–24, 2019, Proceedings

Research Article

Evaluation of a Self-report System for Assessing Mood Using Facial Expressions

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  • @INPROCEEDINGS{10.1007/978-3-030-25872-6_19,
        author={Hristo Valev and Tim Leufkens and Corina Sas and Joyce Westerink and Ron Dotsch},
        title={Evaluation of a Self-report System for Assessing Mood Using Facial Expressions},
        proceedings={Pervasive Computing Paradigms for Mental Health. 9th International Conference, MindCare 2019, Buenos Aires, Argentina, April 23--24, 2019, Proceedings},
        proceedings_a={MINDCARE},
        year={2019},
        month={7},
        keywords={Mood assessment Self-report system User interface},
        doi={10.1007/978-3-030-25872-6_19}
    }
    
  • Hristo Valev
    Tim Leufkens
    Corina Sas
    Joyce Westerink
    Ron Dotsch
    Year: 2019
    Evaluation of a Self-report System for Assessing Mood Using Facial Expressions
    MINDCARE
    Springer
    DOI: 10.1007/978-3-030-25872-6_19
Hristo Valev,*, Tim Leufkens,*, Corina Sas1,*, Joyce Westerink,*, Ron Dotsch2,*
  • 1: Lancaster University
  • 2: Philips Research
*Contact email: hristo.valev@philips.com, tim.leufkens@philips.com, c.sas@lancaster.ac.uk, j.h.d.m.westerink@tue.nl, ron.dotsch@philips.com

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.