Understanding Users' Response to Chatbots from the Perspective of Interactive Ritual Chain

  • Xusen Cheng
  • , Yijun Yan
  • , Alex Zarifis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication30th Americas Conference on Information Systems, AMCIS 2024
PublisherAssociation for Information Systems
ISBN (Electronic)9798331307066
Publication statusPublished - 2024
Externally publishedYes
Event30th Americas Conference on Information Systems, AMCIS 2024 - Salt Lake City, United States
Duration: 15 Aug 202417 Aug 2024

Publication series

Name30th Americas Conference on Information Systems, AMCIS 2024

Conference

Conference30th Americas Conference on Information Systems, AMCIS 2024
Country/TerritoryUnited States
CitySalt Lake City
Period15/08/2417/08/24

Keywords

  • chatbots
  • Human-AI interaction
  • interaction ritual chains theory

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