Stress Tracker-Detecting Acute Stress From a Trackpad: Controlled Study
| Autor: | Amirhossein Koneshloo, Michael An, Pablo Paredes, Emmanuel Thierry Lincoln, Rahul Goel, Hugo Alayrangues |
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| Rok vydání: | 2020 |
| Předmět: |
Adult
Male Computer science computer interaction Health Informatics Input device 02 engineering and technology lcsh:Computer applications to medicine. Medical informatics affective interfaces Stress (mechanics) Young Adult well-being Stress sensing 0202 electrical engineering electronic engineering information engineering Humans 0501 psychology and cognitive sciences trackpad Acute stress stress sensing 050107 human factors Simulation Aged Original Paper computer input device lcsh:Public aspects of medicine 05 social sciences Work (physics) Passive monitoring lcsh:RA1-1270 020207 software engineering Middle Aged Touchpad precision health Telemedicine Research Design lcsh:R858-859.7 Female Computer mouse Stress Psychological mental health |
| Zdroj: | Journal of Medical Internet Research Journal of Medical Internet Research, Vol 22, Iss 10, p e22743 (2020) |
| ISSN: | 1438-8871 |
| Popis: | Background Stress is a risk factor associated with physiological and mental health problems. Unobtrusive, continuous stress sensing would enable precision health monitoring and proactive interventions, but current sensing methods are often inconvenient, expensive, or suffer from limited adherence. Prior work has shown the possibility to detect acute stress using biomechanical models derived from passive logging of computer input devices. Objective Our objective is to detect acute stress from passive movement measurements of everyday interactions on a laptop trackpad: (1) click, (2) steer, and (3) drag and drop. Methods We built upon previous work, detecting acute stress through the biomechanical analyses of canonical computer mouse interactions and extended it to study similar interactions with the trackpad. A total of 18 participants carried out 40 trials each of three different types of movement—(1) click, (2) steer, and (3) drag and drop—under both relaxed and stressed conditions. Results The mean and SD of the contact area under the finger were higher when clicking trials were performed under stressed versus relaxed conditions (mean area: P=.009, effect size=0.76; SD area: P=.01, effect size=0.69). Further, our results show that as little as 4 clicks on a trackpad can be used to detect binary levels of acute stress (ie, whether it is present or not). Conclusions We present evidence that scalable, inexpensive, and unobtrusive stress sensing can be done via repurposing passive monitoring of computer trackpad usage. |
| Databáze: | OpenAIRE |
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