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.
|Publisher||Center for Usability Research & Engineering (CURE)|
|Workshop||ACM MobileHCI workshop - Measuring Mobile Emotions: Measuring the Impossible?|
|Period||15/09/09 → 18/09/09|
- Affective Computing
- Physiological computing
- HMI-CI: Computational Intelligence
- HMI-HF: Human Factors