Passive objective measures in the assessment of problematic smartphone use: A systematic review

Highlights • Passive objective monitoring is beneficial in understanding smartphone behaviour.• Frequency of use and specific apps are most insightful for problematic usage.• Behavioural data can be collected within a short time period.

[1]  A M KommersPiet,et al.  Modeling habitual and addictive smartphone behavior , 2015 .

[2]  D. Jaalouk,et al.  Depression, anxiety, and smartphone addiction in university students- A cross sectional study , 2017, PloS one.

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

[4]  Chee Siang Ang,et al.  NotiMind: Utilizing Responses to Smart Phone Notifications as Affective Sensors , 2017, IEEE Access.

[5]  Ulrich Ebner-Priemer,et al.  The Role of Ambulatory Assessment in Psychological Science , 2014, Current directions in psychological science.

[6]  Yang-Han Lee,et al.  Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). , 2015, Journal of psychiatric research.

[7]  Robert LaRose,et al.  Unregulated Internet Usage: Addiction, Habit, or Deficient Self-Regulation? , 2003 .

[8]  Philip Adebo,et al.  MOBILE SOCIAL MEDIA , 2018 .

[9]  Min Kwon,et al.  Development and Validation of a Smartphone Addiction Scale (SAS) , 2013, PloS one.

[10]  Yasemin Demiraslan Çevik,et al.  Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students , 2016, Comput. Hum. Behav..

[11]  C. Montag,et al.  Recorded Behavior as a Valuable Resource for Diagnostics in Mobile Phone Addiction: Evidence from Psychoinformatics , 2015, Behavioral sciences.

[12]  D. Sheehan,et al.  The Mini-International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. , 1998, The Journal of clinical psychiatry.

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

[14]  David A. Ellis,et al.  Digital Traces of Behaviour Within Addiction: Response to Griffiths (2017) , 2018, International Journal of Mental Health and Addiction.

[15]  Piet Kommers,et al.  Modeling habitual and addictive smartphone behavior: The role of smartphone usage types, emotional intelligence, social stress, self-regulation, age, and gender , 2015, Comput. Hum. Behav..

[16]  C. Ko,et al.  Symptoms of problematic cellular phone use, functional impairment and its association with depression among adolescents in Southern Taiwan. , 2009, Journal of adolescence.

[17]  David Alexander Ellis,et al.  Do smartphone usage scales predict behavior? , 2019, Int. J. Hum. Comput. Stud..

[18]  David A Ellis,et al.  Determining Typical Smartphone Usage: What Data Do We Need? , 2018, Cyberpsychology Behav. Soc. Netw..

[19]  Yu-Hsuan Lin,et al.  Temporal Stability of Smartphone Use Data: Determining Fundamental Time Unit and Independent Cycle , 2018, JMIR mHealth and uHealth.

[20]  Fausto Giunchiglia,et al.  Mobile Social Media and Academic Performance , 2017, SocInfo.

[21]  Dmitri Rozgonjuk,et al.  The association between problematic smartphone use, depression and anxiety symptom severity, and objectively measured smartphone use over one week , 2018, Comput. Hum. Behav..

[22]  Yongseok Jee,et al.  Relationship between smartphone addiction and physical activity in Chinese international students in Korea , 2015, Journal of behavioral addictions.

[23]  Devavrat G. Harshe,et al.  A Study of Magnitude and Psychological Correlates of Smartphone Use in Medical Students: A Pilot Study with A Novel Telemetric Approach , 2018, Indian journal of psychological medicine.

[24]  Joël Billieux,et al.  Problematic Use of the Mobile Phone: A Literature Review and a Pathways Model , 2012 .

[25]  H. Riper,et al.  Mobile Phone-Based Unobtrusive Ecological Momentary Assessment of Day-to-Day Mood: An Explorative Study , 2016, Journal of medical Internet research.

[26]  Myung-Suk Lee,et al.  Analysis of Behavioral Characteristics of Smartphone Addiction Using Data Mining , 2018, Applied Sciences.

[27]  Florence Chee,et al.  Transformative mobile game culture: A sociocultural analysis of Korean mobile gaming in the era of smartphones , 2015 .

[28]  David T. Neal,et al.  How do habits guide behavior? Perceived and actual triggers of habits in daily life , 2012 .

[29]  In Young Choi,et al.  Smartphone dependence classification using tensor factorization , 2017, PloS one.

[30]  Clayton Shepard,et al.  Exploring Smartphone Addiction: Insights from Long-Term Telemetric Behavioral Measures , 2015, Int. J. Interact. Mob. Technol..

[31]  Joël Billieux,et al.  Problematic smartphone use: An empirically validated model , 2019, Comput. Hum. Behav..

[32]  T. Panova,et al.  Is smartphone addiction really an addiction? , 2018, Journal of behavioral addictions.

[33]  Maya Samaha Rupert,et al.  Relationships among smartphone addiction, stress, academic performance, and satisfaction with life , 2016, Comput. Hum. Behav..

[34]  E. Falkum,et al.  Psychometric properties of a sign language version of the Mini International Neuropsychiatric Interview (MINI) , 2014, BMC Psychiatry.

[35]  J. Elhai,et al.  Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. , 2017, Journal of affective disorders.

[36]  S. Shiffman,et al.  Patient non-compliance with paper diaries , 2002, BMJ : British Medical Journal.

[37]  C. Ko,et al.  Proposed Diagnostic Criteria of Internet Addiction for Adolescents , 2005, The Journal of nervous and mental disease.

[38]  Helen Christensen,et al.  Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions , 2018, Journal of medical Internet research.

[39]  M. Griffiths A ‘components’ model of addiction within a biopsychosocial framework , 2005 .

[40]  Fausto Giunchiglia,et al.  Mobile social media usage and academic performance , 2018, Comput. Hum. Behav..

[41]  William Gibson,et al.  Prevalence of Problematic Mobile Phone Use in British Adolescents , 2014, Cyberpsychology Behav. Soc. Netw..

[42]  H. Aarts,et al.  Habit vs. intention in the prediction of future behaviour: the role of frequency, context stability and mental accessibility of past behaviour. , 2008, The British journal of social psychology.

[43]  Yu-Hsuan Lin,et al.  Development and Validation of the Smartphone Addiction Inventory (SPAI) , 2014, PloS one.

[44]  FelisoniDaniel Darghan,et al.  Cell phone usage and academic performance , 2018 .

[45]  John Torous,et al.  Needed Innovation in Digital Health and Smartphone Applications for Mental Health: Transparency and Trust. , 2017, JAMA psychiatry.

[46]  Sabrina Thai,et al.  ExperienceSampler: An Open-Source Scaffold for Building Smartphone Apps for Experience Sampling , 2018, Psychological methods.

[47]  Kang-Woo Lee,et al.  MEASURING SMARTPHONE USAGE TIME IS NOT SUFFICIENT TO PREDICT SMARTPHONE ADDICTION , 2017 .

[48]  Scout Calvert,et al.  Opportunities and challenges in the use of personal health data for health research , 2016, J. Am. Medical Informatics Assoc..

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

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

[51]  Yoori Hwang,et al.  What type of content are smartphone users addicted to?: SNS vs. games , 2016, Comput. Hum. Behav..

[52]  Andrew K. Przybylski,et al.  A Large-Scale Test of the Goldilocks Hypothesis , 2017, Psychological science.

[53]  Richard J. Holden,et al.  Systematic review of smartphone-based passive sensing for health and wellbeing , 2018, J. Biomed. Informatics.

[54]  Matthew K Nock,et al.  Real-time monitoring technology in single-case experimental design research: Opportunities and challenges. , 2019, Behaviour research and therapy.

[55]  S. Bae Smartphone Addiction of Adolescents, Not a Smart Choice , 2017, Journal of Korean medical science.

[56]  Suliman S. Aljomaa,et al.  Smartphone addiction among university students in the light of some variables , 2016, Comput. Hum. Behav..

[57]  A. Wu,et al.  Psychological risk factors of addiction to social networking sites among Chinese smartphone users , 2013, Journal of behavioral addictions.

[58]  Cheryl C. H. Yang,et al.  Incorporation of Mobile Application (App) Measures Into the Diagnosis of Smartphone Addiction. , 2017, The Journal of clinical psychiatry.

[59]  Eiman Kanjo,et al.  Problematic Mobile Phone Use and Addiction Across Generations: the Roles of Psychopathological Symptoms and Smartphone Use , 2018, Journal of Technology in Behavioral Science.

[60]  Katarzyna Stawarz,et al.  Use of Smartphone Apps, Social Media, and Web-Based Resources to Support Mental Health and Well-Being: Online Survey , 2019, JMIR mental health.

[61]  Mohammad Salehan,et al.  Social networking on smartphones: When mobile phones become addictive , 2013, Comput. Hum. Behav..

[62]  A. Tsitsika,et al.  Risk factors and psychosocial characteristics of potential problematic and problematic internet use among adolescents: A cross-sectional study , 2011, BMC public health.

[63]  Dongil Kim,et al.  Development of Korean Smartphone Addiction Proneness Scale for Youth , 2014, PloS one.

[64]  David T. Neal,et al.  A new look at habits and the habit-goal interface. , 2007, Psychological review.

[65]  JeongSe-Hoon,et al.  What type of content are smartphone users addicted to , 2016 .

[66]  Joonwon Lee,et al.  Hooked on smartphones: an exploratory study on smartphone overuse among college students , 2014, CHI.

[67]  M. V. van Velthoven,et al.  Problematic smartphone use: Digital approaches to an emerging public health problem , 2018, Digital health.

[68]  Daniel Darghan Felisoni,et al.  Cell phone usage and academic performance: An experiment , 2018, Comput. Educ..

[69]  Anind K. Dey,et al.  Automatically detecting problematic use of smartphones , 2013, UbiComp.

[70]  James G. Phillips,et al.  Psychological Predictors of Problem Mobile Phone Use , 2005, Cyberpsychology Behav. Soc. Netw..

[71]  Heyoung Lee,et al.  Comparing the Self-Report and Measured Smartphone Usage of College Students: A Pilot Study , 2017, Psychiatry investigation.

[72]  K. Lee,et al.  Smartphone addiction risk and daytime sleepiness in Korean adolescents , 2018, Journal of paediatrics and child health.

[73]  B. Zimmerman,et al.  Self-Motivation for Academic Attainment: The Role of Self-Efficacy Beliefs and Personal Goal Setting , 1992, American Educational Research Journal.

[74]  Marion E. Hambrick,et al.  A mixed-method approach to exploring the motives of sport-related mobile applications among college students. , 2015 .

[75]  José Luis Jasso-Medrano,et al.  Measuring the relationship between social media use and addictive behavior and depression and suicide ideation among university students , 2018, Comput. Hum. Behav..

[76]  Mark Smith,et al.  Smartphone habit and behavior in Brunei: Personalization, gender, and generation gap , 2016, Comput. Hum. Behav..

[77]  Qi Hao,et al.  Measuring smartphone usage and task switching with log tracking and self-reports , 2019 .

[78]  F. Ahmadi,et al.  A new method to measure and decrease the online social networking addiction , 2018, Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists.

[79]  Lucy Yardley,et al.  Opportunities and Challenges for Smartphone Applications in Supporting Health Behavior Change: Qualitative Study , 2013, Journal of medical Internet research.

[80]  David Alexander Ellis Are smartphones really that bad? Improving the psychological measurement of technology-related behaviors , 2019, Comput. Hum. Behav..

[81]  G. Miller,et al.  Science Perspectives on Psychological the Smartphone Psychology Manifesto on Behalf Of: Association for Psychological Science the Smartphone Psychology Manifesto Previous Research Using Mobile Electronic Devices What Smartphones Can Do Now and Will Be Able to Do in the near Future , 2022 .

[82]  Jun Won Kim,et al.  Risk Factors for Smartphone Addiction in Korean Adolescents: Smartphone Use Patterns , 2017, Journal of Korean medical science.

[83]  Francesca C. Ryding,et al.  “Internet Addiction”: a Conceptual Minefield , 2017, International Journal of Mental Health and Addiction.

[84]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[85]  Antti Oulasvirta,et al.  Habits make smartphone use more pervasive , 2011, Personal and Ubiquitous Computing.

[86]  H. Geser Towards a Sociological Theory of the Mobile Phone , 2004 .

[87]  Christian Montag,et al.  Psycho-informatics: Big Data shaping modern psychometrics. , 2014, Medical hypotheses.

[88]  Yu-Hsuan Lin,et al.  Smartphone gaming and frequent use pattern associated with smartphone addiction , 2016, Medicine.