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Yuki Matsutani

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Sep 2026

LLiBTree: An Assessment of Usability and Trust of LLM-integrated Behavior Tree Nodes for Robot Programming

Results show that the PreGeneratedLLiBTree condition yields significantly higher perceived trust, while LLiBTree conditions achieve usability that is non-inferior to natural language-only programming and improve users’ sense of agency, suggesting that LLiBTree offers a practical approach for end-user robot programming.

Yuki Matsutani, Yasuhiro Nitta, Maki Sugimoto · 0 citations

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