TY - GEN
T1 - Understanding Users' Response to Chatbots from the Perspective of Interactive Ritual Chain
AU - Cheng, Xusen
AU - Yan, Yijun
AU - Zarifis, Alex
N1 - Publisher Copyright:
© 2024 30th Americas Conference on Information Systems, AMCIS 2024. All rights reserved.
PY - 2024
Y1 - 2024
N2 - Chatbots that use generative artificial intelligence to reply have become an important application in the field of human-AI interaction and also related to a new diversity of virtual communities. There is a lack of study for composition factors and patterns of quasi-social interaction in the process of human-chatbot interaction. We propose a new model with a hybrid approach, aiming to explore the mechanism of interactive ritual in human-AI interaction using interactive ritual chain theory. This research aims to answer the quasi-social interaction between humans and chatbots, in order to deeply study the mechanism of human society and psychology. In addition, this study will also adopt quantitative research methods to verify the impact and effectiveness of interactive rituals on users' willingness to use chatbots. Through this research, we aim to provide guidance for designing smarter and more user-friendly AI systems, thereby facilitating the development and improvement of human-AI interaction.
AB - Chatbots that use generative artificial intelligence to reply have become an important application in the field of human-AI interaction and also related to a new diversity of virtual communities. There is a lack of study for composition factors and patterns of quasi-social interaction in the process of human-chatbot interaction. We propose a new model with a hybrid approach, aiming to explore the mechanism of interactive ritual in human-AI interaction using interactive ritual chain theory. This research aims to answer the quasi-social interaction between humans and chatbots, in order to deeply study the mechanism of human society and psychology. In addition, this study will also adopt quantitative research methods to verify the impact and effectiveness of interactive rituals on users' willingness to use chatbots. Through this research, we aim to provide guidance for designing smarter and more user-friendly AI systems, thereby facilitating the development and improvement of human-AI interaction.
KW - chatbots
KW - Human-AI interaction
KW - interaction ritual chains theory
UR - https://www.scopus.com/pages/publications/85213021961
M3 - Conference contribution
AN - SCOPUS:85213021961
T3 - 30th Americas Conference on Information Systems, AMCIS 2024
BT - 30th Americas Conference on Information Systems, AMCIS 2024
PB - Association for Information Systems
T2 - 30th Americas Conference on Information Systems, AMCIS 2024
Y2 - 15 August 2024 through 17 August 2024
ER -