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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (192) Chatbots and Conversational Agents (473) Artificial Intelligence (1214) Natural Language Processing (650) Machine Learning (1400)

Published on in Vol 9, No 4 (2022): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38876, first published .
Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences

Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences

Assessing the Topics and Motivating Factors Behind Human-Social Chatbot Interactions: Thematic Analysis of User Experiences

Authors of this article:

Vivian P Ta-Johnson1 Author Orcid Image ;   Carolynn Boatfield1, 2 Author Orcid Image ;   Xinyu Wang1, 3 Author Orcid Image ;   Esther DeCero1, 4 Author Orcid Image ;   Isabel C Krupica1, 2 Author Orcid Image ;   Sophie D Rasof1 Author Orcid Image ;   Amelie Motzer1 Author Orcid Image ;   Wiktoria M Pedryc1 Author Orcid Image
Article Authors Cited by (3) Tweetations (5) Metrics

Journals

  1. Zhao H, Min Q. Exploring continued usage of an AI teaching assistant among university students: A temporal distance perspective. Information & Management 2024:104012 View