TY - JOUR
T1 - Exploring conversation topics in conversational artificial intelligence–based social mediated communities of practice
AU - Ng, Yu Leung
AU - Lin, Zhihuai
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/9
Y1 - 2022/9
N2 - This study utilized ecologically valid social media data to identify motivations and relevant topics regarding the interaction with conversational artificial intelligence (AI) in a natural setting through investigating user conversations on Reddit, a social mediated community of practice. By applying the latent Dirichlet allocation approach, this study extracted conversation topics in six subreddit communities among users of AI–powered virtual assistants (Apple Siri, Amazon Alexa, and Google Assistant) and the corresponding smart speakers (Apple HomePod, Amazon Echo, and Google Home), and investigated changes in the conversation topics over time. Findings showed six themes of conversation topics, i.e., functional gratification, hedonic gratification, social gratification, settings, problems encountered, and connections between devices. A large volatility of the conversation topics over time was found. The results implied that members in subreddit communities share their motivations for interacting with conversational AI and collaboratively discuss the relevant issues and problem solving to learn how to practice better.
AB - This study utilized ecologically valid social media data to identify motivations and relevant topics regarding the interaction with conversational artificial intelligence (AI) in a natural setting through investigating user conversations on Reddit, a social mediated community of practice. By applying the latent Dirichlet allocation approach, this study extracted conversation topics in six subreddit communities among users of AI–powered virtual assistants (Apple Siri, Amazon Alexa, and Google Assistant) and the corresponding smart speakers (Apple HomePod, Amazon Echo, and Google Home), and investigated changes in the conversation topics over time. Findings showed six themes of conversation topics, i.e., functional gratification, hedonic gratification, social gratification, settings, problems encountered, and connections between devices. A large volatility of the conversation topics over time was found. The results implied that members in subreddit communities share their motivations for interacting with conversational AI and collaboratively discuss the relevant issues and problem solving to learn how to practice better.
KW - Artificial intelligence
KW - Communities of practice
KW - Conversational AI
KW - Latent dirichlet allocation
KW - Uses and gratifications
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000807115000003?SID=EUW1ED0A84Qet2i9LrXwmpHQAUkkJ
UR - http://www.scopus.com/inward/record.url?scp=85130329726&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2022.107326
DO - 10.1016/j.chb.2022.107326
M3 - Journal article
SN - 0747-5632
VL - 134
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 107326
ER -