In this SIG, lasting 18 months, MIT proposes to design and develop algorithms for novel low-cost & non-invasive mental condition estimation, in order to proceed towards the larger goal of unobtrusive, but medically acceptable preventive healthcare. MIT will continuously monitor TCS support services employees for 30 days using wearable sensors to examine the physiological, psychological and behavioral correlates of wellbeing. In addition, we will present surveys on their mobile phone in the morning and evening about employees’ mood, sleep, interaction with others and wellbeing. The mobile phone will also be used to monitor the activity and the location of the employees when they are not at work. In particular, we propose to explore the following research questions:
- Are sleep irregularity and short sleep associated with stress, performance and other factors?
- Is stress associated with factors such as hierarchical job ranking or team dynamics?
- Are there apparent differences in stress across hierarchical levels?
- What are the main predictive parameters of stress (e.g. sleep, ranking, sensor data)?
- How is wellbeing related to stress at work?
- Are work habits (work outside working hours) related to stress/wellbeing?
- Are there any communication patterns (e.g., e-mail) and work settings (e.g., open/close office, number of meetings) correlated with stress/wellbeing?
- How are daily mobility patterns related to stress/wellbeing?
- Are working hour schedules related to employees’ performance, stress and mental health?