@inproceedings{42090b8c2c9a40ed9265ac9337c180cf,
title = "Guidelines for Mobile Emotion Measurement",
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.",
keywords = "METIS-260132, Affective Computing, IR-73172, Physiological computing, HMI-CI: Computational Intelligence, Wearable, Emotion, EWI-18395, HMI-HF: Human Factors, Physiology",
author = "Janssen, {Joris H.} and {van den Broek}, Egon",
year = "2009",
month = sep,
day = "15",
language = "Undefined",
isbn = "not assigned",
publisher = "Center for Usability Research & Engineering (CURE)",
pages = "17--20",
editor = "A. Geven and M. Tscheligi and L Noldus",
booktitle = "Proceedings of the ACM MobileHCI workshop - Measuring Mobile Emotions: Measuring the Impossible?",
note = "ACM MobileHCI workshop - Measuring Mobile Emotions: Measuring the Impossible? ; Conference date: 15-09-2009 Through 18-09-2009",
}