How psychosocial well-being and usage amount predict inaccuracies in retrospective estimates of digital technology use

Using Apple’s Screen Time application to obtain reported actual iPhone and social media (SM) use, we examined the accuracy of retrospective estimates of usage, how inaccuracies bias associations between use and psychosocial well-being (depression, loneliness, and life satisfaction), and the degree to which inaccuracies were predicted by levels of well-being. Among a sample of 325 iPhone users, we found that (a) participants misestimated their weekly overall iPhone and SM use by 19.1 and 12.2 hours, respectively; (b) correlations between estimated use and well-being variables were consistently stronger than the correlations between reported actual use and well-being variables; and (c) the degree of inaccuracy in estimated use was associated with levels of participant well-being and amount of use. These findings suggest that retrospective estimates of digital technology use may be systematically biased by factors that are fundamental to the associations under investigation. We propose that retrospective estimates of digital technology use may be capturing the construct of perceived use rather than actual use, and discuss how the antecedents, correlates, and consequences of perceived use may be distinct from those of actual use. Implications of these findings are discussed in view of the ongoing debate surrounding the effects of digital technology use on well-being.

[1]  Andrew K. Przybylski,et al.  Screens, Teens, and Psychological Well-Being: Evidence From Three Time-Use-Diary Studies , 2019, Psychological science.

[2]  John J. B. Allen,et al.  Association Between Negative Cognitive Bias and Depression: A Symptom-Level Approach , 2018, Journal of abnormal psychology.

[3]  Anke Wonneberger,et al.  Explaining Response Errors of Self-Reported Frequency and Duration of TV Exposure Through Individual and Contextual Factors , 2017 .

[4]  C. Ferguson,et al.  Social Media Use and Mental Health among Young Adults , 2018, Psychiatric Quarterly.

[5]  S. Grondin.  Timing and time perception: A review of recent behavioral and neuroscience findings and theoretical directions , 2010, Attention, perception & psychophysics.

[6]  E. Gullone,et al.  The clinical significance of loneliness: a literature review. , 2006, Clinical psychology review.

[7]  Dimitri A Christakis,et al.  Are Mechanical Turk worker samples representative of health status and health behaviors in the U.S.? , 2018, PloS one.

[8]  S. Shiffman,et al.  Ecological momentary assessment. , 2008, Annual review of clinical psychology.

[9]  Rich Ling,et al.  Measuring Mobile Phone Use: Self-Report Versus Log Data , 2013, J. Comput. Mediat. Commun..

[10]  K. Demi̇rci̇,et al.  Relationship of Smartphone Use Severity with Sleep Quality, Depression, and Anxiety in University Students , 2015, Journal of behavioral addictions.

[11]  J. Mckearney.  Asking questions about behavior. , 1977, Perspectives in biology and medicine.

[12]  Justin W. Weeks,et al.  Depression and emotion regulation predict objective smartphone use measured over one week , 2017, Personality and Individual Differences.

[13]  R. Kessler,et al.  Perceived support, received support, and adjustment to stressful life events. , 1986, Journal of health and social behavior.

[14]  P. Alex Linley,et al.  Youth Life Satisfaction: A Review of the Literature , 2009 .

[15]  M. Paulus,et al.  Decision making, impulsivity and time perception , 2008, Trends in Cognitive Sciences.

[16]  Jason B. Colditz,et al.  ASSOCIATION BETWEEN SOCIAL MEDIA USE AND DEPRESSION AMONG U.S. YOUNG ADULTS , 2016, Depression and anxiety.

[17]  Megan A Moreno,et al.  A Novel Approach to Evaluating Mobile Smartphone Screen Time for iPhones: Feasibility and Preliminary Findings , 2018, JMIR mHealth and uHealth.

[18]  R. Tibshirani.  Regression Shrinkage and Selection via the Lasso , 1996 .

[19]  Andrew K. Przybylski,et al.  The association between adolescent well-being and digital technology use , 2019, Nature Human Behaviour.

[20]  M. Dimatteo,et al.  A short-form measure of loneliness. , 1987, Journal of personality assessment.

[21]  Marilynn B. Brewer,et al.  Social Exclusion and Selective Memory: How the Need to belong Influences Memory for Social Events , 2000 .

[22]  M. Bauer,et al.  Time experience and time judgment in major depression, mania and healthy subjects. A controlled study of 93 subjects , 2004, Acta psychiatrica Scandinavica.

[23]  S. Houghton,et al.  Reciprocal Relationships between Trajectories of Depressive Symptoms and Screen Media Use during Adolescence , 2018, Journal of youth and adolescence.

[24]  Peter Neijens,et al.  How Much Time Do You Spend Online? Understanding and Improving the Accuracy of Self-Reported Measures of Internet Use , 2017 .

[25]  Keith Roe,et al.  Measuring mobile phone use: Gender, age and real usage level in relation to the accuracy and validity of self-reported mobile phone use , 2013 .

[26]  D L Patrick,et al.  Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression Scale). , 1994, American journal of preventive medicine.

[27]  P. Fraisse.  Perception and estimation of time. , 1984, Annual review of psychology.

[28]  Chiungjung Huang,et al.  Time Spent on Social Network Sites and Psychological Well-Being: A Meta-Analysis , 2017, Cyberpsychology Behav. Soc. Netw..

[29]  R. Baumeister,et al.  Social networking online and personality of self-worth: A meta-analysis , 2016 .

[30]  David A. Ellis,et al.  Beyond Self-Report: Tools to Compare Estimated and Real-World Smartphone Use , 2015, PloS one.

[31]  Madeleine J George,et al.  Concurrent and Subsequent Associations Between Daily Digital Technology Use and High-Risk Adolescents' Mental Health Symptoms. , 2018, Child development.

[32]  A. Acquisti,et al.  Reputation as a sufficient condition for data quality on Amazon Mechanical Turk , 2013, Behavior Research Methods.

[33]  Michael Scharkow,et al.  The Accuracy of Self-Reported Internet Use—A Validation Study Using Client Log Data , 2016 .

[34]  Michaeline R Jensen,et al.  Young Adolescents’ Digital Technology Use and Mental Health Symptoms: Little Evidence of Longitudinal or Daily Linkages , 2019, Clinical psychological science : a journal of the Association for Psychological Science.

[35]  C. Frith.  Social cognition , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[36]  Keith N. Hampton.  Social Media and Change in Psychological Distress Over Time: The Role of Social Causation , 2019, J. Comput. Mediat. Commun..

[37]  Rabindra A. Ratan,et al.  Why We Distort in Self-Report: Predictors of Self-Report Errors in Video Game Play , 2014, J. Comput. Mediat. Commun..

[38]  Jeffrey Boase,et al.  No Such Effect? The Implications of Measurement Error in Self-Report Measures of Mobile Communication Use , 2012 .

[39]  David A. Ellis,et al.  Predicting Smartphone Operating System from Personality and Individual Differences , 2016, Cyberpsychology Behav. Soc. Netw..

[40]  M. Olfson,et al.  National Trends in the Prevalence and Treatment of Depression in Adolescents and Young Adults , 2016, Pediatrics.

[41]  J. Hornik.  Subjective vs. Objective Time Measures: A Note on the Perception of Time in Consumer Behavior , 1984 .

[42]  T. Joiner,et al.  Increases in Depressive Symptoms, Suicide-Related Outcomes, and Suicide Rates Among U.S. Adolescents After 2010 and Links to Increased New Media Screen Time , 2018 .

[43]  M. Hunt,et al.  No More FOMO: Limiting Social Media Decreases Loneliness and Depression , 2018, Journal of Social and Clinical Psychology.

[44]  J. Jonides,et al.  Facebook Use Predicts Declines in Subjective Well-Being in Young Adults , 2013, PloS one.

[45]  A. Sacker,et al.  Gender differences in the associations between age trends of social media interaction and well-being among 10-15 year olds in the UK , 2018, BMC Public Health.

[46]  R. Larsen,et al.  The Satisfaction with Life Scale , 1985, Journal of personality assessment.

[47]  S. Yao,et al.  Dose–response association of screen time-based sedentary behaviour in children and adolescents and depression: a meta-analysis of observational studies , 2015, British Journal of Sports Medicine.

[48]  A. Leventhal,et al.  Reciprocal associations between screen time and emotional disorder symptoms during adolescence , 2019, Preventive medicine reports.

[49]  A. Sacker,et al.  Social Media Use and Adolescent Mental Health: Findings From the UK Millennium Cohort Study , 2018, EClinicalMedicine.