Trust in a Human-Computer Collaborative Task with or Without Lexical Alignment
ADJUNCT PROCEEDINGS OF THE 32ND ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2024（2024）
Abstract
Lexical alignment is a form of personalization frequently found in human-human conversations. Recently, attempts have been made to incorporate it in human-computer conversations. We describe an experiment to investigate the trust of users in the performance of a conversational agent that lexically aligns or misaligns, in a collaborative task. The participants performed a travel planning task with the help of the agent, involving rescuing residents and minimizing the travel path on a fictional map. We found that trust in the conversational agent was not significantly affected by the alignment capability of the agent.
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Key words
lexical alignment,human-agent interaction,conversational agents,performance trust
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