2016
DOI: 10.1177/1745691616650285
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Using Smartphones to Collect Behavioral Data in Psychological Science

Abstract: Smartphones now offer the promise of collecting behavioral data unobtrusively, in situ, as it unfolds in the course of daily life. Data can be collected from the onboard sensors and other phone logs embedded in today’s off-the-shelf smartphone devices. These data permit fine-grained, continuous collection of people’s social interactions (e.g., speaking rates in conversation, size of social groups, calls, and text messages), daily activities (e.g., physical activity and sleep), and mobility patterns (e.g., freq… Show more

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Cited by 431 publications
(339 citation statements)
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“…Stressors may become less predictable if appraisal processes are degraded by distractors and this too can be modeled in the laboratory (e.g., Curtin, Patrick, Lang, Cacioppo, & Birbaumer, 2001). Finally, naturalistic research can complement these laboratory approaches by taking advantage of rapidly developing mobile technologies that allow for real-time measurement of subjective emotional response, behavior, and physiology combined with important contextual information provided by GPS location services and indices of peer-to-peer interactions in the real world (Curtin, Zhu, Gustafson, & Alagoz, 2015; Harari et al, 2016). All of these approaches can and should be marshalled to better understand and treat the contributions of unpredictable stressors to the etiology and maintenance of AOD use disorders.…”
Section: Discussionmentioning
confidence: 99%
“…Stressors may become less predictable if appraisal processes are degraded by distractors and this too can be modeled in the laboratory (e.g., Curtin, Patrick, Lang, Cacioppo, & Birbaumer, 2001). Finally, naturalistic research can complement these laboratory approaches by taking advantage of rapidly developing mobile technologies that allow for real-time measurement of subjective emotional response, behavior, and physiology combined with important contextual information provided by GPS location services and indices of peer-to-peer interactions in the real world (Curtin, Zhu, Gustafson, & Alagoz, 2015; Harari et al, 2016). All of these approaches can and should be marshalled to better understand and treat the contributions of unpredictable stressors to the etiology and maintenance of AOD use disorders.…”
Section: Discussionmentioning
confidence: 99%
“…To our knowledge, this is the largest naturalistic observation study of trait mindfulness conducted to date, but additional research is needed to fully elucidate how trait mindfulness does and does not manifest behaviorally in daily life. Mobile sensing, which capitalizes on the already pervasive presence of smartphones in people's daily lives, may be a promising methodology for future research in this area (52). Future research could pair self-reports on subjective momentary experience (e.g., through experience sampling) with third-person/objective data on observable behavior (e.g., through mobile sensing or naturalistic observation) in order to disentangle aspects of mindfulness that are primarily internal from aspects of mindfulness that become socially or behaviorally enacted.…”
Section: Discussionmentioning
confidence: 99%
“…However, none of the work included in our literature research involves wearable sensing technologies. In contrast, in other fields, wearables like smart-phones are used as a sensor platform to investigate human behavior [8], stress [9] and to support patients with mental diseases, e.g., schizophrenia [10], [11] and depression [12].…”
Section: Prior Workmentioning
confidence: 99%