Building Rapport with Self-Disclosure in Human-Robot Interaction
Building Rapport with Self-Disclosure in Human-Robot Interaction
This research investigates the role of robot self-disclosure in fostering rapport during face-to-face human-robot interaction. The authors propose RADIA, a dialogue system leveraging retrieval-augmented generation (RAG) to retrieve and reference simulated autobiographical memories for natural first-person self-disclosure. An in-person user study compares interactions with a self-disclosing robot against a baseline non-self-disclosing robot. Results indicate that robot self-disclosure significantly influences conversational dynamics and enhances users' perceived rapport, suggesting it is a valuable social behavior for long-term human-robot interaction.
The study presents an in-person user evaluation of a dialogue system named RADIA that uses retrieval-augmented generation to simulate autobiographical memories for self-disclosure, finding that this approach significantly enhances perceived rapport compared to a non-self-disclosing baseline.
Source: arXiv Robotics — research abstracts · Read original article ↗
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RADIA that leverages retrieval-augmented generation (RAG) to enable a robot to retrieve and reference simulated autobiographical memories, allowing first-person self-disclosure to be incorporated naturally into ongoing conversations. We evaluate the proposed approach through an in-person user study, comparing interactions with a self-disclosing robot against a baseline non-self-disclosing robot. Our results show that
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Source：arXiv Robotics — research abstracts · arxiv.org