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Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution
8 references·0 citing·31 second hopsampled
Understanding College Students' Phone Call Behaviors Towards a Sustainable Mobile Health and Wellbeing Solution (2020)Understanding College Students' Phone Cal…Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data (2018)Opportunistic Discovery of Pe…Hierarchical Cooperative Discovery of Personal Places from Location Traces (2017)Hierarchical Cooperative Disc…Discovering places of interest using sensor data from smartphones and wearables (2017)Discovering places of interes…A longitudinal analysis of stress among incoming college freshmen (2017)A longitudinal analysis of st…Cooperative Discovery of Personal Places from Location Traces (2016)Cooperative Discovery of Pers…Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits (2014)Daily Stress Recognition from…Discovering places of interest in everyday life from smartphone data (2012)Discovering places of interes…New Well-being Measures: Short Scales to Assess Flourishing and Positive and Negative Feelings (2009)New Well-being Measures: Shor…Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Understanding mobility based on GPS data (2008)Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015)Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (2018)Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research (2019)The Satisfaction With Life Scale (1985)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. (2000)Flourishing Across Europe: Application of a New Conceptual Framework for Defining Well-Being (2011)The PERMA-Profiler: A brief multidimensional measure of flourishing (2016)Basic psychological need theory: Advancements, critical themes, and future directions (2020)A Coefficient of Agreement for Nominal Scales (1960)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. (1999)Predicting students' happiness from physiology, phone, mobility, and behavioral data (2015)Spatio-temporal determinants of mental health and well-being: advances in geographically-explicit ecological momentary assessment (GEMA) (2016)Detecting Stress Based on Social Interactions in Social Networks (2017)Mining Individual Life Pattern Based on Location History (2009)Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data (2018)Deriving College Students’ Phone Call Patterns to Improve Student Life (2021)Stress, Appraisal, and Coping. New York, NY: Springer; (1984)Stress, appraisal, and coping (1985)The Benefits of Facebook “Friends:” Social Capital and College Students’ Use of Online Social Network Sites (2007)Self-leadership and stress among college students: Examining the moderating role of coping skills† (2018)Effects of Self-Regulation vs. External Regulation on the Factors and Symptoms of Academic Stress in Undergraduate Students (2020)Depression, anxiety, and stress among students, faculty, and staff (2021)StudentLife (2014)Assessing Older Adults’ Daily Mobility: A Comparison of GPS-Derived and Self-Reported Mobility Indicators (2019)Predicting Next Call Duration: A Future Direction to Promote Mental Health in the Age of Lockdown (2021)Visualizing College Students’ Geo-Temporal Context-Varying Significant Phone Call Patterns (2021)
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References

  • 2009New Well-being Measures: Short Scales to Assess Flourishing and Positive and Negative Feelings4,969 cited
  • 2014Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits217 cited
  • 2012Discovering places of interest in everyday life from smartphone data137 cited
  • 2017A longitudinal analysis of stress among incoming college freshmen136 cited
  • 2017Hierarchical Cooperative Discovery of Personal Places from Location Traces43 cited
  • 2017Discovering places of interest using sensor data from smartphones and wearables40 cited
  • 2016Cooperative Discovery of Personal Places from Location Traces38 cited
  • 2018Opportunistic Discovery of Personal Places Using Smartphone and Fitness Tracker Data30 cited

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