DSI postdoctoral fellow Sandrine Müller makes use of smartphone sensor data to examine human habits.
A extensive analysis team brought by Sandrine Müller, a Data Research Institute postdoctoral exploration fellow, and Heinrich Peters, a Columbia Business Institution (CBS) doctoral candidate, provides linked mobility behavior to well-being by discovering associations between different types of mobility behaviors (e.g., moment spent in transit, quantity of places visited, and total length covered) and lots of indicators of well-being (electronic.g., major depression, loneliness, and anxiety).
Müller, Peters, and their co-authors, including Sandra Matz, David W. Zalaznick Associate Professor of Enterprise at CBS; Wang Weichen, a Two Sigma quantitative researcher; and Gabriella Harari, an associate professor of connection at Stanford University, posted their findings in a unique issue on behavioral individuality science in age big info of the European Journal of Individuality.
To, Müller, Peters, et al., examined Gps navigation and questionnaire files from 2,319 psychology college students from a huge university in america. In the beginning of the scholarly research, the researchers collected learners’ reports of the general quantities of loneliness and depressive disorders. Additionally, pupils applied their smartphones to response questions about their panic, affect, stress, per day throughout the next a couple of weeks and energy four times.
One unique part of the research is that Global Positioning System (GPS) data were also collected during this period. The GPS data were transformed into several measures of mobility behaviors, of condensed into three broad kinds of mobility patterns: distance (behaviors associated with the distance an individual travelled), entropy (the distribution of time an individual spent in numerous places), and routine (the regularity of an individual’s mobility patterns).
“After linking these mobility patterns to participants’ well-being scores, we unearthed that mobility was linked to well-being on the daily level, along with on the known degree of an aggregate throughout the study period,” Müller said. “This demonstrates that mobility behavior isn’t only important for focusing on how people feel on a certain day, but may predict how they feel across longer also.”
entropy and Distance specifically associated with time spent in social places were linked to more positive well-being. Routine behaviors were associated with loneliness and depression. Taken together, these findings show that individuals’ mobility behavior may indeed be useful in predicting their well-being.
“While it wasn’t something our study was planning to do, I do believe it offers ideas for future studies on interventions and real-world applications definitely,” Müller said. “There’s possibility of learning individual patterns and showing that on the occasions where people visit certain places, they better feel. Giving them suggestions to test certain things, we could try to better cause them to become feel.”