Literature DB >> 27899727

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

Gabriella M Harari1, Nicholas D Lane2,3, Rui Wang4, Benjamin S Crosier5, Andrew T Campbell4, Samuel D Gosling6,7.   

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.
© The Author(s) 2016.

Entities:  

Keywords:  behavior; big data; mobile sensing; research design; smartphones

Mesh:

Year:  2016        PMID: 27899727      PMCID: PMC5572675          DOI: 10.1177/1745691616650285

Source DB:  PubMed          Journal:  Perspect Psychol Sci        ISSN: 1745-6916


  18 in total

1.  Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines.

Authors:  Michal Kosinski; Sandra C Matz; Samuel D Gosling; Vesselin Popov; David Stillwell
Journal:  Am Psychol       Date:  2015-09

2.  The Electronically Activated Recorder (EAR): a device for sampling naturalistic daily activities and conversations.

Authors:  M R Mehl; J W Pennebaker; D M Crow; J Dabbs; J H Price
Journal:  Behav Res Methods Instrum Comput       Date:  2001-11

3.  Inferring friendship network structure by using mobile phone data.

Authors:  Nathan Eagle; Alex Sandy Pentland; David Lazer
Journal:  Proc Natl Acad Sci U S A       Date:  2009-08-17       Impact factor: 11.205

4.  Accuracy of smartphone applications and wearable devices for tracking physical activity data.

Authors:  Meredith A Case; Holland A Burwick; Kevin G Volpp; Mitesh S Patel
Journal:  JAMA       Date:  2015-02-10       Impact factor: 56.272

5.  Mobile, Social, and Wearable Computing and the Evolution of Psychological Practice.

Authors:  Margaret E Morris; Adrian Aguilera
Journal:  Prof Psychol Res Pr       Date:  2012-12

6.  Whole-genome sequencing and social-network analysis of a tuberculosis outbreak.

Authors:  Jennifer L Gardy; James C Johnston; Shannan J Ho Sui; Victoria J Cook; Lena Shah; Elizabeth Brodkin; Shirley Rempel; Richard Moore; Yongjun Zhao; Robert Holt; Richard Varhol; Inanc Birol; Marcus Lem; Meenu K Sharma; Kevin Elwood; Steven J M Jones; Fiona S L Brinkman; Robert C Brunham; Patrick Tang
Journal:  N Engl J Med       Date:  2011-02-24       Impact factor: 91.245

7.  Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia.

Authors:  Dror Ben-Zeev; Christopher J Brenner; Mark Begale; Jennifer Duffecy; David C Mohr; Kim T Mueser
Journal:  Schizophr Bull       Date:  2014-03-08       Impact factor: 9.306

8.  Passive and In-situ Assessment of Mental and Physical Well-being using Mobile Sensors.

Authors:  Mashfiqui Rabbi; Shahid Ali; Tanzeem Choudhury; Ethan Berke
Journal:  Proc ACM Int Conf Ubiquitous Comput       Date:  2011

9.  Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study.

Authors:  Sohrab Saeb; Mi Zhang; Christopher J Karr; Stephen M Schueller; Marya E Corden; Konrad P Kording; David C Mohr
Journal:  J Med Internet Res       Date:  2015-07-15       Impact factor: 5.428

10.  openPDS: protecting the privacy of metadata through SafeAnswers.

Authors:  Yves-Alexandre de Montjoye; Erez Shmueli; Samuel S Wang; Alex Sandy Pentland
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

View more
  63 in total

1.  Daily rumination about stress, sleep, and diurnal cortisol activity.

Authors:  Michael R Sladek; Leah D Doane; Reagan S Breitenstein
Journal:  Cogn Emot       Date:  2019-04-08

2.  A survey on the attitudes of parents with young children on in-home monitoring technologies and study designs for infant research.

Authors:  Laurel A Fish; Emily J H Jones
Journal:  PLoS One       Date:  2021-02-05       Impact factor: 3.240

Review 3.  Mobile app development in health research: pitfalls and solutions.

Authors:  Aaron J Siegler; Justin Knox; José A Bauermeister; Jesse Golinkoff; Lisa Hightow-Weidman; Hyman Scott
Journal:  Mhealth       Date:  2021-04-20

Review 4.  Automated sensing of daily activity: A new lens into development.

Authors:  Kaya de Barbaro
Journal:  Dev Psychobiol       Date:  2019-03-18       Impact factor: 3.038

5.  Applied ambulatory assessment: Integrating idiographic and nomothetic principles of measurement.

Authors:  Aidan G C Wright; Johannes Zimmermann
Journal:  Psychol Assess       Date:  2019-03-21

6.  Real-Time Monitoring of Suicide Risk among Adolescents: Potential Barriers, Possible Solutions, and Future Directions.

Authors:  Evan M Kleiman; Catherine R Glenn; Richard T Liu
Journal:  J Clin Child Adolesc Psychol       Date:  2019-09-27

7.  Short-term prediction of suicidal thoughts and behaviors in adolescents: Can recent developments in technology and computational science provide a breakthrough?

Authors:  Nicholas B Allen; Benjamin W Nelson; David Brent; Randy P Auerbach
Journal:  J Affect Disord       Date:  2019-03-06       Impact factor: 4.839

8.  The Electronically Activated Recorder (EAR): A Method for the Naturalistic Observation of Daily Social Behavior.

Authors:  Matthias R Mehl
Journal:  Curr Dir Psychol Sci       Date:  2017-04-06

9.  Latino adolescents' daily bicultural stress and sleep: Gender and school context moderation.

Authors:  Michael R Sladek; Leah D Doane; HyeJung Park
Journal:  Health Psychol       Date:  2019-12-02       Impact factor: 4.267

10.  Using Bluetooth beacon technology to reduce distracted pedestrian behaviour: a cross-over trial study protocol.

Authors:  David C Schwebel; Ragib Hasan; Russell Griffin
Journal:  Inj Prev       Date:  2019-12-30       Impact factor: 2.399

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.