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      Using Smartphones to Collect Behavioral Data in Psychological Science: Opportunities, Practical Considerations, and Challenges

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          Abstract

          Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it unfolds in the course of daily life. Data can be collected from the onboard sensors and other phone logs embedded in today’s off-the-shelf smartphone devices. These data permit fine-grained, continuous collection of people’s social interactions (e.g., speaking rates in conversation, size of social groups, calls, and text messages), daily activities (e.g., physical activity and sleep), and mobility patterns (e.g., frequency and duration of time spent at various locations). In this article, we have drawn on the lessons from the first wave of smartphone-sensing research to highlight areas of opportunity for psychological research, present practical considerations for designing smartphone studies, and discuss the ongoing methodological and ethical challenges associated with research in this domain. It is our hope that these practical guidelines will facilitate the use of smartphones as a behavioral observation tool in psychological science.

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          Author and article information

          Journal
          101274347
          34287
          Perspect Psychol Sci
          Perspect Psychol Sci
          Perspectives on psychological science : a journal of the Association for Psychological Science
          1745-6916
          1745-6924
          19 April 2017
          November 2016
          26 August 2017
          : 11
          : 6
          : 838-854
          Affiliations
          [1 ]Department of Psychology, The University of Texas at Austin
          [2 ]Nokia Bell Labs, Cambridge, England
          [3 ]Computer Science Department, University College London
          [4 ]Department of Computer Science, Dartmouth College
          [5 ]Center for Technology and Behavioral Health, Department of Biomedical Data Science, Dartmouth College
          [6 ]Department of Psychology, University of Melbourne
          Author notes
          Corresponding Author: Gabriella M. Harari, Department of Psychology, The University of Texas at Austin, 1 University Station A8000, Austin, TX 78751. gabriella.harari@ 123456utexas.edu
          Article
          PMC5572675 PMC5572675 5572675 nihpa862908
          10.1177/1745691616650285
          5572675
          27899727
          3582980f-57ec-436e-a2f9-1be8487e7030

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          research design,mobile sensing,smartphones,behavior,big data

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