Cecilia makes the point that continuous sensing with mobile devices can overcome many issue that are well known with traditional studies (especially the classical problem of psychologist studying psychology students in a dark lab). One of here early papers (EmotionSense, see [1]) shows how we can move studies into the real world. This is not without difficulties, especially when you try to understand emotions.
Different sensors have different energy and privacy cost and also different types of contributions. Correlating the accelerometer and happiness is really interesting. Users who are more active (not just movement, “being out and about”) are happier. Clustering accelerometer data and correlating it with other high level data opens exciting questions, e.g. health. Similarly correlating happiness and location leads to more surprising results: less happy at home and work, more when out and active. Looking at people’s personally and demographics shows that gender, age, employment, etc. has a clear correlation with activity and usage of communication.
References:
[1] Rachuri, K. K., Musolesi, M., Mascolo, C., Rentfrow, P. J., Longworth, C., & Aucinas, A. (2010, September). EmotionSense: a mobile phones based adaptive platform for experimental social psychology research. In Proceedings of the 12th ACM international conference on Ubiquitous computing (pp. 281-290). ACM. http://csce.uark.edu/~tingxiny/courses/5013sp14/reading/Rachuri2010EMP.pdf
[2] Henze, N., Shirazi, A. S., Schmidt, A., Pielot, M., & Michahelles, F. (2013). Empirical research through ubiquitous data collection. Computer, 46(6), 0074-76. http://doi.ieeecomputersociety.org/10.1109/MC.2013.202
[3] Mascolo, C. (2010). The power of mobile computing in a social era. IEEE Internet Computing, 14(6), 76. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.466.2037&rep=rep1&type=pdf
[4] Brown, C., Efstratiou, C., Leontiadis, I., Quercia, D., Mascolo, C., Scott, J., & Key, P. (2014, September). The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 811-822). ACM. http://arxiv.org/pdf/1406.6829.pdf