Abstract
People experience feelings of indebtedness when receiving help from an agent. This feeling of indebtedness has a potentially negative impact on the human attitude. However, few experimental analyses this evaluating effect of the help an agent are available. The aim of this study is to design an agent that can assist people without making them feel indebted to that agent. The present research proposed a help method where the agent helps people to achieve their goal using a different approach from the recipient and verified its effectiveness by experiment. It was established that an agent can assist recipients without adverse effects if the help method is different.
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Yamamoto, S., Takeuchi, Y. (2015). Human-Agent Interaction Design for Decreasing Indebtedness. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_27
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DOI: https://doi.org/10.1007/978-3-319-19369-4_27
Publisher Name: Springer, Cham
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