Smartphone sensing methods for studying behavior in everyday life

Harari, Gabriella M, Müller, Sandrine R, Aung, Min Sh and Rentfrow, Peter J (2017) Smartphone sensing methods for studying behavior in everyday life. Current Opinion in Behavioral Sciences, 18. pp. 83-90. ISSN 2352-1546

[img]
Preview
PDF (Accepted_Manuscript) - Submitted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (518kB) | Preview

Abstract

Human behavior is the focus of many studies in the social, health, and behavioral sciences. Yet, few studies use behavioral observation methods to collect objective measures of behavior as it occurs in daily life, out in the real world — presumably the context of ultimate interest. Here, we provide a review of recent studies focused on measuring human behavior using smartphones and their embedded mobile sensors. To draw attention to current advances in the field of smartphone sensing, we describe the daily behaviors captured using these methods, which include movement behaviors (physical activity, mobility patterns), social behaviors (face-to-face encounters, computer-mediated communications), and other daily activities (non-mediated and mediated activities). We conclude by pointing to promising areas of future research for studies using Smartphone Sensing Methods (SSMs) in the behavioral sciences.

Item Type: Article
Faculty \ School: Faculty of Science > School of Computing Sciences
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 26 Sep 2019 08:30
Last Modified: 02 Jul 2020 23:51
URI: https://ueaeprints.uea.ac.uk/id/eprint/72384
DOI: 10.1016/j.cobeha.2017.07.018

Actions (login required)

View Item View Item