4.2 Article

The Potential of Digital Phenotyping and Mobile Sensing for Psycho-Diagnostics of Internet Use Disorders

期刊

CURRENT ADDICTION REPORTS
卷 8, 期 3, 页码 422-430

出版社

SPRINGERNATURE
DOI: 10.1007/s40429-021-00376-6

关键词

Internet Use Disorders; Problematic Internet use; Internet addiction; Smartphone addiction; Social media addiction; Digital phenotyping; Mobile sensing; Psychoinformatics; Big Data

资金

  1. Projekt DEAL
  2. German Innovation Fund [01NVF19031]

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This paper provides an accessible overview on the potential of digital phenotyping and mobile sensing in shedding light on Internet Use Disorders (IUD) and improving psycho-diagnostics. The new technologies offer a novel approach to overcome recall bias and other limitations of traditional assessment methods, setting new standards in precisely mapping behavior and detecting risky Internet use patterns.
Purpose of Review The present paper provides an accessible overview on the potential of digital phenotyping and mobile sensing not only shedding light on the nature of Internet Use Disorders (IUD), but also to provide new ideas on how to improve psycho-diagnostics of mental processes linked to IUD. Recent Findings In detail, the psycho-diagnostic areas of prevention, treatment, and aftercare in the realm of IUDs are focused upon in this work. Before each of these areas is presented in more specificity, the terms digital phenotyping and mobile sensing are introduced against the background of an interdisciplinary research endeavor called Psychoinformatics. Obstacles to overcome problems in this emerging research endeavor-sensing psychological traits/states from digital footprints-are discussed together with risks and chances, which arise from the administration of online-tracking technologies in the field of IUDs. Given the limited validity and reliability of traditional assessment via questionnaires or diagnostic interviews with respect to recall bias and tendencies to answer towards social desirability, digital phenotyping and mobile sensing offer a novel approach overcoming recall bias and other limitations of usual assessment approaches. This will not only set new standards in precisely mapping behavior, but it will also offer scientists and practitioners opportunities to detect risky Internet use patterns in a timely manner and to establish tailored feedback as a means of intervention.

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