2024/06/14 by Muhammad Yeza Baihaqi, Angel García Contreras, Baihaqi, Muhammad Yeza +5 · 1 citation
Computer Science · Decision Sciences · Psychology · #AI in Service Interactions #Computation and Language (cs.CL) #Educational Games and Gamification #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Technology Adoption and User Behaviour
paper · pdf · doi:10.48550/arxiv.2406.09839
openalex publication_date 2024/06/14 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Rapport is known as a conversational aspect focusing on relationship building, which influences outcomes in collaborative tasks. This study aims to establish human-agent rapport through small talk by using a rapport-building strategy. We implemented this strategy for the virtual agents based on dialogue strategies by prompting a large language model (LLM). In particular, we utilized two dialogue strategies-predefined sequence and free-form-to guide the dialogue generation framework. We conducted analyses based on human evaluations, examining correlations between total turn, utterance characters, rapport score, and user experience variables: naturalness, satisfaction, interest, engagement, and usability. We investigated correlations between rapport score and naturalness, satisfaction, engagement, and conversation flow. Our experimental results also indicated that using free-form to prompt the rapport-building strategy performed the best in subjective scores.