A Review on Mood Assessment Using Smartphones.

Due to their abundance of sensors, today’s smartphones can act as a scientific tool to collect contextual information on users’ emotional, social, and physical behaviour. With the continuously growing amount of data that can be unobtrusively extracted from smartphones, mood-tracking and inference methods have become more feasible. However, this does raise critical implications for end-users, including accessibility and privacy. Following a structured selection process, we reviewed 32 papers from the ACM Digital Library on mood inference and tracking using smartphones. We conducted an in-depth analysis of used sensors, platform and accessibility, study designs, privacy, self-reporting methods, and accuracy. Based on our analysis, we provide a detailed discussion of the opportunities for research and practice that arise from our findings and outline recommendations for future research within the area of smartphone-based mood tracking and inference.