TY - GEN
T1 - LET'S CHAT IF YOU ARE UNHAPPY - THE EFFECT OF EMOTIONS ON INTERACTION EXPERIENCE AND TRUST TOWARD EMPATHETIC CHATBOTS
AU - Liao, Ting
AU - Yan, Bei
N1 - Publisher Copyright:
Copyright © 2023 by ASME.
PY - 2023
Y1 - 2023
N2 - Chatbots are now prevalent in obtaining information and executing tasks on behalf of human users. While the design community has paid more attention to streamlining user-chatbot interactions, the existing literature has not thoroughly examined social elements such as emotions and understood how emotions influence user interaction and trust in chatbots. This study proposes to test how participants perceive an empathetic chatbot versus a non-empathetic one under various emotional states (i.e., positive, neutral, negative) when the chatbot facilitates conversations for student advising via an online platform. The study shows the importance of presenting empathetic cues in the design of chatbots or other intelligent agents. The empathetic behavior of the chatbot improves participants'trust and perception of the chatbot's performance. The improvement is more salient to people with negative emotions than people who feel neutral or positive. This interaction effect is explained by people's perceived effort of the chatbot during the interaction with people, even though the chatbot is a technological agent that acts based on algorithms. The results suggest that people attribute human qualities to chatbots in social interaction and highlight the emotional needs of people who experience negative emotions. Therefore, design efforts need to be designated according to people's dynamic emotional states.
AB - Chatbots are now prevalent in obtaining information and executing tasks on behalf of human users. While the design community has paid more attention to streamlining user-chatbot interactions, the existing literature has not thoroughly examined social elements such as emotions and understood how emotions influence user interaction and trust in chatbots. This study proposes to test how participants perceive an empathetic chatbot versus a non-empathetic one under various emotional states (i.e., positive, neutral, negative) when the chatbot facilitates conversations for student advising via an online platform. The study shows the importance of presenting empathetic cues in the design of chatbots or other intelligent agents. The empathetic behavior of the chatbot improves participants'trust and perception of the chatbot's performance. The improvement is more salient to people with negative emotions than people who feel neutral or positive. This interaction effect is explained by people's perceived effort of the chatbot during the interaction with people, even though the chatbot is a technological agent that acts based on algorithms. The results suggest that people attribute human qualities to chatbots in social interaction and highlight the emotional needs of people who experience negative emotions. Therefore, design efforts need to be designated according to people's dynamic emotional states.
KW - affect
KW - automated agent
KW - design for automation
KW - emotion
KW - empathy
KW - human-computer interaction
UR - http://www.scopus.com/inward/record.url?scp=85179134798&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85179134798&partnerID=8YFLogxK
U2 - 10.1115/DETC2023-115318
DO - 10.1115/DETC2023-115318
M3 - Conference contribution
AN - SCOPUS:85179134798
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 49th Design Automation Conference (DAC)
T2 - ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2023
Y2 - 20 August 2023 through 23 August 2023
ER -