Publikation:

Persuasive Technology in Reducing Prolonged Sedentary Behavior at Work : A Systematic Review

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2018

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SMARTACT Teilprojekt 6: Smartmobility / SMARTACT 2 Teilprojekt 6
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Open Access Green
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Published

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Smart Health. 2018, 7-8, pp. 19-30. eISSN 2352-6483. Available under: doi: 10.1016/j.smhl.2018.05.002

Zusammenfassung

Prolonged sedentary behavior is prevalent among office workers and has been found to be detrimental to health. Preventing and reducing prolonged sedentary behavior require interventions, and persuasive technology is expected to make a contribution in this domain. In this paper, we use the framework of persuasive system design (PSD) principles to investigate the utilization and effectiveness of persuasive technology in intervention studies at reducing sedentary behavior at work. This systematic review reveals that reminders are the most frequently used PSD principle. The analysis on reminders shows that hourly PC reminders alone have no significant effect on reducing sedentary behavior at work, while coupling with education or other informative session seems to be promising. Details of deployed persuasive technology with behavioral theories and user experience evaluation are expected to be reported explicitly in the future intervention studies.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Sedentary behavior, Intervention studies, Workplace, Persuasive technology, Persuasive system design, Systematic review

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ISO 690WANG, Yunlong, Lingdan WU, Jan-Philipp LANGE, Ahmed FADHIL, Harald REITERER, 2018. Persuasive Technology in Reducing Prolonged Sedentary Behavior at Work : A Systematic Review. In: Smart Health. 2018, 7-8, pp. 19-30. eISSN 2352-6483. Available under: doi: 10.1016/j.smhl.2018.05.002
BibTex
@article{Wang2018-06Persu-43070,
  year={2018},
  doi={10.1016/j.smhl.2018.05.002},
  title={Persuasive Technology in Reducing Prolonged Sedentary Behavior at Work : A Systematic Review},
  volume={7-8},
  journal={Smart Health},
  pages={19--30},
  author={Wang, Yunlong and Wu, Lingdan and Lange, Jan-Philipp and Fadhil, Ahmed and Reiterer, Harald}
}
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