Social distance “nudge:” a context aware mHealth intervention in response to COVID pandemics

Shuyuan Mary Ho (), Xiuwen Liu (), Md Shamim Seraj () and Sabrina Dickey ()
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Shuyuan Mary Ho: Florida State University
Xiuwen Liu: Florida State University
Md Shamim Seraj: Florida State University
Sabrina Dickey: Florida State University

Computational and Mathematical Organization Theory, 2023, vol. 29, issue 3, No 1, 414 pages

Abstract: Abstract The impact of the COVID pandemic to our society is unprecedented in our time. As coronavirus mutates, maintaining social distance remains an essential step in defending personal as well as public health. This study conceptualizes the social distance “nudge” and explores the efficacy of mHealth digital intervention, while developing and validating a choice architecture that aims to influence users’ behavior in maintaining social distance for their own self-interest. End-user nudging experiments were conducted via a mobile phone app that was developed as a research artifact. The accuracy of social distance nudging was validated in both United States and Japan. Future work will consider behavioral studies to better understand the effectiveness of this digital nudging intervention.

Keywords: Coronavirus; COVID-19; Nudge theory; Social distance nudge; mHealth digital intervention; RSSI; Public health; Voluntary contact tracing (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10588-022-09365-0

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