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Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions
16 references·16 citing·50 second hopsampled
Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (2018)Using Mobile Phone Sensor Technology for …Using Smartphones to Collect Behavioral Data in Psychological Science (2016)Using Smartphones to Collect …New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research (2016)New Tools for New Research in…Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health (2016)Harnessing Smartphone-Based D…Promoting an open research culture (2015)Promoting an open research cu…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…Registered Reports (2014)Registered ReportsMeasuring Large-Scale Social Networks with High Resolution (2014)Measuring Large-Scale Social …mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care (2013)mHealth: A Mechanism to Deliv…Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health (2013)Behavioral Intervention Techn…A Tale of Many Cities: Universal Patterns in Human Urban Mobility (2012)A Tale of Many Cities: Univer…Harnessing Context Sensing to Develop a Mobile Intervention for Depression (2011)Harnessing Context Sensing to…False-Positive Psychology (2011)False-Positive PsychologyLimits of Predictability in Human Mobility (2010)Limits of Predictability in H…Inferring friendship network structure by using mobile phone data (2009)Inferring friendship network …Loneliness as a specific risk factor for depressive symptoms: Cross-sectional and longitudinal analyses. (2006)Loneliness as a specific risk…Psychosocial functioning and depression: Distinguishing among antecedents, concomitants, and consequences. (1988)Psychosocial functioning and …Determinants and drivers of change for digital transformation and digitalization in human resource management: a systematic literature review and conceptual framework building (2024)Determinants and drivers of c…Capturing the College Experience (2024)Capturing the College Experie…Understanding behaviours in context using mobile sensing (2023)Understanding behaviours in c…The promise of a model-based psychiatry: building computational models of mental ill health (2022)The promise of a model-based …Recommender systems for mental health apps: advantages and ethical challenges (2022)Recommender systems for menta…Contracting, Pricing, and Data Collection Under the AI Flywheel Effect (2022)Contracting, Pricing, and Dat…Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review (2021)Sensing Apps and Public Data …Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability (2021)Passive sensing on mobile dev…Passive Sensing of Preteens’ Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy (2021)Passive Sensing of Preteens’ …STDD: Short-Term Depression Detection with Passive Sensing (2020)STDD: Short-Term Depression D…Passive objective measures in the assessment of problematic smartphone use: A systematic review (2020)Passive objective measures in…Effectiveness of online psychological and psychoeducational interventions to prevent depression: Systematic review and meta-analysis of randomized controlled trials (2020)Effectiveness of online psych…Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review (2019)Digital biomarkers from geolo…Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators (2019)Assessing Older Adults’ Daily…Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study (2018)Using Passive Smartphone Sens…Real-time monitoring technology in single-case experimental design research: Opportunities and challenges (2018)Real-time monitoring technolo…Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)Lifetime Prevalence and Age-of-Onset Distributions of DSM-IV Disorders in the National Comorbidity Survey Replication (2005)The WPA- Lancet Psychiatry Commission on the Future of Psychiatry (2017)Facebook language predicts depression in medical records (2018)Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study (2018)Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)An Inventory for Measuring Depression (1961)Stress, social support, and the buffering hypothesis. 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References

  • 2011False-Positive Psychology6,561 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2015Promoting an open research culture2,686 cited
  • 2006Loneliness as a specific risk factor for depressive symptoms: Cross-sectional and longitudinal analyses.2,376 cited
  • 2009Inferring friendship network structure by using mobile phone data1,858 cited
  • 1988Psychosocial functioning and depression: Distinguishing among antecedents, concomitants, and consequences.920 cited
  • 2015Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study781 cited
  • 2016New Tools for New Research in Psychiatry: A Scalable and Customizable Platform to Empower Data Driven Smartphone Research757 cited
  • 2016Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health720 cited
  • 2014Registered Reports716 cited
  • 2013Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health692 cited
  • 2011Harnessing Context Sensing to Develop a Mobile Intervention for Depression646 cited
  • 2012A Tale of Many Cities: Universal Patterns in Human Urban Mobility628 cited
  • 2016Using Smartphones to Collect Behavioral Data in Psychological Science515 cited

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  • 2013mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care487 cited
  • 2014Measuring Large-Scale Social Networks with High Resolution409 cited
  • Cited by

    • 2020Passive objective measures in the assessment of problematic smartphone use: A systematic review126 cited
    • 2020STDD: Short-Term Depression Detection with Passive Sensing109 cited
    • 2021Passive Sensing of Preteens’ Smartphone Use: An Adolescent Brain Cognitive Development (ABCD) Cohort Substudy100 cited
    • 2020Effectiveness of online psychological and psychoeducational interventions to prevent depression: Systematic review and meta-analysis of randomized controlled trials92 cited
    • 2022Recommender systems for mental health apps: advantages and ethical challenges92 cited
    • 2018Real-time monitoring technology in single-case experimental design research: Opportunities and challenges88 cited
    • 2022The promise of a model-based psychiatry: building computational models of mental ill health88 cited
    • 2021Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review84 cited
    • 2019Digital biomarkers from geolocation data in bipolar disorder and schizophrenia: a systematic review69 cited
    • 2022Contracting, Pricing, and Data Collection Under the AI Flywheel Effect69 cited
    • 2024Capturing the College Experience55 cited
    • 2018Using Passive Smartphone Sensing for Improved Risk Stratification of Patients With Depression and Diabetes: Cross-Sectional Observational Study55 cited
    • 2021Passive sensing on mobile devices to improve mental health services with adolescent and young mothers in low-resource settings: the role of families in feasibility and acceptability53 cited
    • 2023Understanding behaviours in context using mobile sensing48 cited
    • 2024Determinants and drivers of change for digital transformation and digitalization in human resource management: a systematic literature review and conceptual framework building39 cited
    • 2019Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators38 cited