This paper is in the following e-collection/theme issue:

Theme Issue (2023): AI and Human Factors—Towards Successful Application of AI in Health Care (13) User Needs and Competencies (303) Artificial Intelligence (1371) Chatbots and Conversational Agents (531) Formative Evaluation of Digital Health Interventions (2414) Generative Language Models Including ChatGPT (311) Usability of Apps and User Perceptions of mHealth (974)

Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55399, first published .
The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis

The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis

The Impact of Performance Expectancy, Workload, Risk, and Satisfaction on Trust in ChatGPT: Cross-Sectional Survey Analysis

Authors of this article:

Avishek Choudhury1 Author Orcid Image ;   Hamid Shamszare1 Author Orcid Image
Article Authors Cited by (3) Tweetations (2) Metrics

Journals

  1. Arora N, Manchanda P, Aggarwal A, Maggo V. Tapping generative AI capabilities: a study to examine continued intention to use ChatGPT in the travel planning. Asia Pacific Journal of Tourism Research 2024:1 View
  2. Anicker F, Flaßhoff G, Marcinkowski F. The Matrix of AI Agency: On the Demarcation Problem in Social Theory. Sociological Theory 2024 View
  3. Moravec V, Hynek N, Gavurova B, Rigelsky M. Who uses it and for what purpose? The role of digital literacy in ChatGPT adoption and utilisation. Journal of Innovation & Knowledge 2024;9(4):100602 View