Scientific article

Individuals' stress assessment using human-smartphone interaction analysis

Published inIEEE Transactions on Affective Computing, vol. 9, no. 1, p. 51-65
Publication date2018

The increasing presence of stress in people' lives has motivated much research efforts focusing on continuous stress assessment methods of individuals, leveraging smartphones and wearable devices. These methods have several drawbacks, i.e., they use invasive external devices, thus increasing entry costs and reducing user acceptance, or they use some of privacy-related information. This paper presents an approach for stress assessment that leverages data extracted from smartphone sensors, and that is not invasive concerning privacy. Two different approaches are presented. One, based on smartphone gestures analysis, e.g., `tap', `scroll', `swipe' and `text writing', and evaluated in laboratory settings with 13 participants (F-measure 79-85 percent within-subject model, 70-80 percent global model); the second one based on smartphone usage analysis and tested in-the-wild with 25 participants (F-measure 77-88 percent within-subject model, 63-83 percent global model). Results show how these two methods enable an accurate stress assessment without being too intrusive, thus increasing ecological validity of the data and user acceptance.

  • Human-smartphone interaction
  • Stress
  • Smartphone
  • Affective computing
  • Mobile sensing
  • Pervasive computing
  • Swiss National Science Foundation - PCS-OBEY
  • Swiss National Science Foundation - MIQModel
Citation (ISO format)
CIMAN, Matteo, WAC, Katarzyna. Individuals” stress assessment using human-smartphone interaction analysis. In: IEEE Transactions on Affective Computing, 2018, vol. 9, n° 1, p. 51–65. doi: 10.1109/TAFFC.2016.2592504
Main files (1)
Article (Published version)
ISSN of the journal1949-3045

Technical informations

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