SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study
16 references·0 citing·47 second hop
Leveraging Swipe Gesture Interactions From Mobile Games as Indicators of Anxiety and Depression: Exploratory Study (2025)Leveraging Swipe Gesture Interactions Fro…Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety (2019)Toward clinical digital pheno…Touchscreen typing pattern analysis for remote detection of the depressive tendency (2019)Touchscreen typing pattern an…Student Perspectives on Digital Phenotyping (2019)Student Perspectives on Digit…Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning (2017)Personal Sensing: Understandi…DeepMood (2017)DeepMoodChallenges and Opportunities in Global Mental Health: a Research-to-Practice Perspective (2017)Challenges and Opportunities …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…Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study (2015)Mobile Phone Sensor Correlate…What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay? (2012)What Does Touch Tell Us about…Identifying emotional states using keystroke dynamics (2011)Identifying emotional states …Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review (2009)Mechanisms of attentional bia…Attentional control theory: Anxiety, emotion, and motor planning (2009)Attentional control theory: A…The PHQ-8 as a measure of current depression in the general population (2008)The PHQ-8 as a measure of cur…Anxiety and cognitive performance: Attentional control theory. (2007)Anxiety and cognitive perform…A Brief Measure for Assessing Generalized Anxiety Disorder (2006)A Brief Measure for Assessing…The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories (1995)The structure of negative emo…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)Manual for the State-Trait Anxiety Inventory (1970)Dual-Processing Accounts of Reasoning, Judgment, and Social Cognition (2007)Eye tracking of attention in the affective disorders: A meta-analytic review and synthesis (2012)Emotion Regulation and Psychopathology (2015)Loneliness Across the Life Span (2015)An inventory for measuring clinical anxiety: Psychometric properties. (1988)The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. (1992)Anxiety Disorders in Primary Care: Prevalence, Impairment, Comorbidity, and Detection (2007)Validation and Standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the General Population (2008)An Ultra-Brief Screening Scale for Anxiety and Depression: The PHQ-4 (2009)Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Manual of Mental Disorders (2013)Does Response on the PHQ-9 Depression Questionnaire Predict Subsequent Suicide Attempt or Suicide Death? (2013)The relationship between materialism and personal well-being: A meta-analysis. (2014)Impacts of the CARE for Teachers program on teachers’ social and emotional competence and classroom interactions. (2017)An Inventory for Measuring Depression (1961)Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. (1998)The short‐form version of the Depression Anxiety Stress Scales (DASS‐21): Construct validity and normative data in a large non‐clinical sample (2005)Preliminary Psychometric Properties of the Acceptance and Action Questionnaire–II: A Revised Measure of Psychological Inflexibility and Experiential Avoidance (2011)Individual differences in working memory and reading (1980)Negative affectivity: The disposition to experience aversive emotional states. (1984)New perspectives in attentional control theory (2010)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)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)Harnessing Smartphone-Based Digital Phenotyping to Enhance Behavioral and Mental Health (2016)New dimensions and new tools to realize the potential of RDoC: digital phenotyping via smartphones and connected devices (2017)StudentLife (2014)Detecting depression and mental illness on social media: an integrative review (2017)Internet‐delivered psychological treatments: from innovation to implementation (2019)Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions (2020)Childhood adversities and adult psychopathology in the WHO World Mental Health Surveys (2010)Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010 (2013)Annual Research Review: A meta‐analysis of the worldwide prevalence of mental disorders in children and adolescents (2015)Innovative Models in Mental Health Delivery Systems: Task Sharing Care with Non-specialist Providers to Close the Mental Health Treatment Gap (2019)Stigma in health facilities: why it matters and how we can change it (2019)COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10) (2020)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Digital Phenotyping (2017)Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science (2020)Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data (2021)Singapore's health-care system: key features, challenges, and shifts (2021)
this work references cited by second hop

References

  • 2006A Brief Measure for Assessing Generalized Anxiety Disorder31,695 cited
  • 1995The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories14,509 cited
  • 2007Anxiety and cognitive performance: Attentional control theory.5,275 cited
  • 2008The PHQ-8 as a measure of current depression in the general population5,113 cited
  • 2009Mechanisms of attentional biases towards threat in anxiety disorders: An integrative review1,752 cited
  • 2017Challenges and Opportunities in Global Mental Health: a Research-to-Practice Perspective874 cited
  • 2017Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning800 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
  • 2019Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety433 cited
  • 2011Identifying emotional states using keystroke dynamics364 cited
  • 2012What Does Touch Tell Us about Emotions in Touchscreen-Based Gameplay?170 cited
  • 2017DeepMood145 cited
  • 2009Attentional control theory: Anxiety, emotion, and motor planning

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

140 cited
  • 2019Touchscreen typing pattern analysis for remote detection of the depressive tendency102 cited
  • 2019Student Perspectives on Digital Phenotyping87 cited
  • Cited by

    No citing works inside the corpus for this window.