An Evaluation of Students’ Interest in and Compliance With Self-Tracking Methods

Recommendations for Incentives Based on Three Smartphone Sensing Studies

Datos Bibliográficos

ID21209366
AutoresGabriella M Harari (0000-0001-9258-9075, Stanford University, autor de correspondencia), Sandrine R Müller (0000-0002-1226-6370, University of Cambridge), Varun Mishra (0000-0003-3891-5460, Dartmouth College), Rui Wang (0000-0001-7155-3356, Dartmouth College), Andrew T Campbell (0000-0001-7394-7682, Dartmouth College), Peter J Rentfrow (0000-0002-9068-2118, University of Cambridge), Samuel D Gosling (0000-0001-8970-591X, The University of Melbourne)
Año2017
Volumen8
Número5
Páginas479-492
Fecha de publicación2017-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocial Psychological and Personality Science (JOURNAL)
Identificadores de la revistaISSN: 1948-5506 • E-ISSN: 1948-5514
EditorialSAGE Publications (PUBLISHER • US)
DOI10.1177/1948550617712033
OpenAlexW2736466115
IdiomaEN
Citas recibidas6
Referencias citadas43

Self-tracking consists of recording the behaviors that occur in one’s daily life. Self-tracking studies can provide researchers with passively sensed information about individual’s daily behaviors and environments and actively logged information (e.g., self-reports). This method has great promise for obtaining detailed records of behavior in naturalistic contexts, but it is not known what factors would motivate individuals to participate in self-tracking studies. Here, we analyze students’ interest in self-tracking and their compliance with self-tracking using smartphones. Three dimensions of self-tracking motivations were identified: productivity and health behaviors, well-being and daily activities, and social life on campus; these motivations were related to participation preferences and individual characteristics. We also present evidence from three studies that suggest personalized feedback combined with other incentives (course credit toward a class assignment, monetary compensation, or a prize reward) can be an effective recruitment strategy. Recommendations for the design of future self-tracking studies are presented

Incentive · Productivity · Applied Psychology · Computer Science · Digital Mental Health Interventions · Impact of Technology on Adolescents · Innovative Human-Technology Interaction · Psychology · Social Psychology · Artificial Intelligence