Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers-Reference-Cited by-同舟云学术

Sensible and Sensitive AI for Worker Wellbeing: Factors that Inform Adoption and Resistance for Information Workers

Published:2024-05-11 Issue: Volume:105 Page:1-30
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
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Author:

Das Swain Vedant¹^ORCID,Gao Lan²^ORCID,Mondal Abhirup³^ORCID,Abowd Gregory D.⁴^ORCID,De Choudhury Munmun⁵^ORCID

Affiliation:

1. Khoury College of Computer Science, Northeastern University, United States

2. Department of Computer Science, University of Chicago, United States

3. College of Computing, Georgia Institute of Technology, United States

4. Dept. of Electrical and Computer Engineering, Northeastern University, United States

5. School of Interactive Computing, Georgia Institute of Technology, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642716

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4. Herman Aguinis and Kyle J Bradley. 2014. Best practice recommendations for designing and implementing experimental vignette methodology studies. Organizational research methods 17, 4 (2014), 351–371.

5. Limitless worker surveillance;Ajunwa Ifeoma;Calif. L. Rev.,2017

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