The role of uncertainty and affect in decision-making on the adoption of AI-based contact-tracing technology during the COVID-19 pandemic
10.1177/20552076231169836
Saved in:
Main Authors: | Hong, Soo Jung, Cho, Hichang |
---|---|
Other Authors: | COMMUNICATIONS AND NEW MEDIA |
Format: | Article |
Language: | English |
Published: |
SAGE PUBLICATIONS LTD
2023
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/241718 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Language: | English |
Similar Items
-
The roles of trust in government and sense of community in the COVID-19 contact tracing privacy calculus: mixed method study using a 2-wave survey and in-depth interviews
by: Kang, Hyunjin, et al.
Published: (2024) -
How to smoothen AI implementation in healthcare
by: YEOW, Adrian, et al.
Published: (2022) -
Gauging the acceptance of contact tracing technology: An empirical study of Singapore residents’ concerns with sharing their information and willingness to trust
by: Ong, Ee-Ing, et al.
Published: (2022) -
TRADEOFFS IN SURVEILLANCE AND PRIVACY TECHNOLOGIES
by: LAN YIHONG
Published: (2022) -
Lightweight and privacy-aware fine-grained access control for IoT-oriented smart health
by: SUN, Jianfei, et al.
Published: (2020)