Individuals' Stress Assessment Using Human-Smartphone Interaction Analysis
Research output: Contribution to journal › Journal article › Research › peer-review
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.
Original language | English |
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Journal | IEEE Transactions on Affective Computing |
Volume | 9 |
Issue number | 1 |
Pages (from-to) | 51-65 |
Number of pages | 15 |
ISSN | 2371-9850 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
- Human-smartphone interaction, stress, smartphone, affective computing, mobile sensing, pervasive computing
Research areas
ID: 199034767