TY - GEN
T1 - Anthropomorphizing IQ and EQ of Chatbots for Service Recovery-The Role of Deception and Smooth Talk on Chatbot Aversion
AU - Liu, Huiyu
AU - Tan, Ran
AU - Huang, Qian
AU - Lee, Kwok On Matthew
AU - Zhang, Shuqin
AU - Wu, Linhan
N1 - Publisher Copyright:
© 2024 International Conference on Information Systems. All Rights Reserved.
PY - 2024/12
Y1 - 2024/12
N2 - Despite the rapid development of Artificial Intelligence (AI), AI-based chatbots cannot avoid service failure, which stimulates chatbot aversion in users. Practically, anthropomorphizing IQ or EQ is widely employed to improve user experience and mitigate chatbot aversion. In terms of chatbot IQ, deception is benchmarking intelligence, which means when encountering unknown problems, chatbots use available information to generate an answer. When it comes to chatbot EQ, smooth talk is a typical strategy where the charming and flattering words of chatbots soothe users' possible negative emotions in service failure. Drawing on the Uncanny Valley Effect, we propose the impacts of chatbot deception and smooth talk on user aversion via perceived affinity and eeriness. An online experiment is scheduled to test the research model. Chatbots with(out) deception and smooth talk have been designed, and a pilot study was conducted to confirm the effective manipulation.
AB - Despite the rapid development of Artificial Intelligence (AI), AI-based chatbots cannot avoid service failure, which stimulates chatbot aversion in users. Practically, anthropomorphizing IQ or EQ is widely employed to improve user experience and mitigate chatbot aversion. In terms of chatbot IQ, deception is benchmarking intelligence, which means when encountering unknown problems, chatbots use available information to generate an answer. When it comes to chatbot EQ, smooth talk is a typical strategy where the charming and flattering words of chatbots soothe users' possible negative emotions in service failure. Drawing on the Uncanny Valley Effect, we propose the impacts of chatbot deception and smooth talk on user aversion via perceived affinity and eeriness. An online experiment is scheduled to test the research model. Chatbots with(out) deception and smooth talk have been designed, and a pilot study was conducted to confirm the effective manipulation.
KW - Chatbot
KW - deception
KW - service failure
KW - smooth talk
KW - uncanny valley effect
UR - https://www.scopus.com/pages/publications/105010822247
M3 - Conference contribution
AN - SCOPUS:105010822247
T3 - 45th International Conference on Information Systems, ICIS 2024
BT - Proceedings of the 45th International Conference on Information Systems (ICIS 2024)
T2 - 45th International Conference on Information Systems, ICIS 2024
Y2 - 15 December 2024 through 18 December 2024
ER -