The assessment of mindfulness (i.e., a general receptivity and full engagement in the present moment) has historically been conducted via self-report questionnaires and interviews (Brown, Ryan, & Creswell, 2007), and there has been limited research into objective and behavioral-based assessment tools. Phone-sensing is a novel data collection method that has been shown to detect long-term behavioral patterns associated with personality traits (De Montjoye, Quoidbach, Robic, & Pentland, 2013), mental health status (Ben-Zeev et al., 2016), and physical health (Eagle & Sandy Pentland, 2006) by passively collecting data from smartphone sensors and software. The purpose of the current study was to determine if there is an association between patterns of phone sensing data and reported level of mindfulness. Findings suggest that there is significant positive relationship between mindfulness and predictability of the participant's location each day, predictability of face-to-face interactions each day, number of face-to-face interactions on nights and weekends. Among the phone sensing predictors, predictability of face-to-face interactions measured via detecting Bluetooth signals explained the most unique variance, and the combination of all three associated predictors explained a medium-to-large amount of the variance in mindfulness scores. The current study's findings support the possible utility phone sensing methods may have in measuring longitudinal behaviors and quantifying long-term fluctuations in behaviors that are traditionally difficult to quantify.
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Details
Title
Passive Assessment of Longitudinal Behaviors Associated with Mindfulness
Creators
Matthew J. Doiron - DU
Contributors
David S. DeMatteo (Advisor) - Drexel University (1970-)
Awarding Institution
Drexel University
Degree Awarded
Master of Science (M.S.)
Publisher
Drexel University; Philadelphia, Pennsylvania
Resource Type
Thesis
Language
English
Academic Unit
Psychological and Brain Sciences (Psychology); College of Arts and Sciences; Drexel University
Other Identifier
7084; 991014632614204721
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