ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness
March 26, 2024 ยท Declared Dead ยท ๐ International Conference on Language Resources and Evaluation
"No code URL or promise found in abstract"
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Authors
Yufei Tao, Ameeta Agrawal, Judit Dombi, Tetyana Sydorenko, Jung In Lee
arXiv ID
2403.18121
Category
cs.CL: Computation & Language
Cross-listed
cs.HC
Citations
11
Venue
International Conference on Language Resources and Evaluation
Last Checked
5 months ago
Abstract
Recent advances in interactive large language models like ChatGPT have revolutionized various domains; however, their behavior in natural and role-play conversation settings remains underexplored. In our study, we address this gap by deeply investigating how ChatGPT behaves during conversations in different settings by analyzing its interactions in both a normal way and a role-play setting. We introduce a novel dataset of broad range of human-AI conversations annotated with user motives and model naturalness to examine (i) how humans engage with the conversational AI model, and (ii) how natural are AI model responses. Our study highlights the diversity of user motives when interacting with ChatGPT and variable AI naturalness, showing not only the nuanced dynamics of natural conversations between humans and AI, but also providing new avenues for improving the effectiveness of human-AI communication.
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