Abstract
Large language models (LLMs) have facilitated significant strides in generating conversational agents, enabling seamless, contextually relevant dialogues across diverse topics. However, the existing LLM-driven conversational agents have fixed personalities and functionalities, limiting their adaptability to individual user needs. Creating personalized agent personas with distinct expertise or traits can address this issue. Nonetheless, we lack knowledge of how people customize and interact with agent personas. In this research, we investigated how users customize agent personas and their impact on interaction quality, diversity, and dynamics. To this end, we developed CloChat, an interface supporting easy and accurate customization of agent personas in LLMs. We conducted a study comparing how participants interact with CloChat and ChatGPT. The results indicate that participants formed emotional bonds with the customized agents, engaged in more dynamic dialogues, and showed interest in sustaining interactions. These findings contribute to design implications for future systems with conversational agents using LLMs.
Original language | English |
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Title of host publication | CHI 2024 - Proceedings of the 2024 CHI Conference on Human Factors in Computing Sytems |
Publisher | Association for Computing Machinery |
ISBN (Electronic) | 9798400703300 |
DOIs | |
Publication status | Published - 2024 May 11 |
Event | 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 - Hybrid, Honolulu, United States Duration: 2024 May 11 → 2024 May 16 |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2024 CHI Conference on Human Factors in Computing Sytems, CHI 2024 |
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Country/Territory | United States |
City | Hybrid, Honolulu |
Period | 24/5/11 → 24/5/16 |
Bibliographical note
Publisher Copyright:© 2024 Copyright held by the owner/author(s)
All Science Journal Classification (ASJC) codes
- Software
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design