Guidelines for Mobile Emotion Measurement

Joris H. Janssen, Egon van den Broek

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    Abstract

    Mobile emotion measurement (MEM) through physiological signals is a promising tool for both experiments and application. We provide 1) an overview of unobtrusive physiological sensors and 2) a review of studies that have tried to infer emotions from physiological signals. This review shows that there is a lack of general standards, low accuracy, and a doubtful validity of the results. To overcome these problems, we provide three guidelines for future research on MEM: validation, triangulation, and a physiology-driven approach. These guidelines enable the embedding of MEM in various professional and consumer settings, as a key factor in our every day life.
    Original languageUndefined
    Title of host publicationProceedings of the ACM MobileHCI workshop - Measuring Mobile Emotions: Measuring the Impossible?
    EditorsA. Geven, M. Tscheligi, L Noldus
    Place of PublicationVienna, Austria
    PublisherCenter for Usability Research & Engineering (CURE)
    Pages17-20
    Number of pages4
    ISBN (Print)not assigned
    Publication statusPublished - 15 Sep 2009

    Publication series

    Name
    PublisherCenter for Usability Research & Engineering (CURE)

    Keywords

    • METIS-260132
    • Affective Computing
    • IR-73172
    • Physiological computing
    • HMI-CI: Computational Intelligence
    • Wearable
    • Emotion
    • EWI-18395
    • HMI-HF: Human Factors
    • Physiology

    Cite this

    Janssen, J. H., & van den Broek, E. (2009). Guidelines for Mobile Emotion Measurement. In A. Geven, M. Tscheligi, & L. Noldus (Eds.), Proceedings of the ACM MobileHCI workshop - Measuring Mobile Emotions: Measuring the Impossible? (pp. 17-20). Vienna, Austria: Center for Usability Research & Engineering (CURE).