Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching
Richter P, Wersing H, Vollmer A-L (2024)
In: Proceedings of the 12th International Conference on Human-Agent Interaction. Ahmad MI, Lohan K, Foster ME, Holthaus P, Nagai Y (Eds); New York, NY, USA: ACM: 399-401.
Kurzbeitrag Konferenz / Poster
| Veröffentlicht | Englisch
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Herausgeber*in
Ahmad, Muneeb Imtiaz;
Lohan, Katrin;
Foster, Mary Ellen;
Holthaus, Patrick;
Nagai, Yukie
Einrichtung
Abstract / Bemerkung
This paper introduces the Mental Model Mismatch (MMM) Score, a feedback mechanism designed to align human teaching behavior with robot learning by quantifying mismatches between the human teacher’s mental model and the robot’s learning capabilities. Utilizing a LLM, the system analyzes human teacher intentions in natural language to generate adaptive feedback for the human. A study with 150 participants teaching a virtual robot learner demonstrates that intention-based feedback significantly improves the robots learning outcomes compared to traditional performance-based feedback or no feedback. The findings suggest that this approach improves understanding of the robot’s learning process and reduces misconceptions to enhance human-robot interaction.
Erscheinungsjahr
2024
Titel des Konferenzbandes
Proceedings of the 12th International Conference on Human-Agent Interaction
Seite(n)
399-401
Konferenz
HAI '24: International Conference on Human-Agent Interaction
Konferenzort
Swansea United Kingdom
Konferenzdatum
2024-11-24 – 2024-11-27
ISBN
9798400711787
Page URI
https://pub.uni-bielefeld.de/record/2994503
Zitieren
Richter P, Wersing H, Vollmer A-L. Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. In: Ahmad MI, Lohan K, Foster ME, Holthaus P, Nagai Y, eds. Proceedings of the 12th International Conference on Human-Agent Interaction. New York, NY, USA: ACM; 2024: 399-401.
Richter, P., Wersing, H., & Vollmer, A. - L. (2024). Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. In M. I. Ahmad, K. Lohan, M. E. Foster, P. Holthaus, & Y. Nagai (Eds.), Proceedings of the 12th International Conference on Human-Agent Interaction (pp. 399-401). New York, NY, USA: ACM. https://doi.org/10.1145/3687272.3690896
Richter, Phillip, Wersing, Heiko, and Vollmer, Anna-Lisa. 2024. “Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching”. In Proceedings of the 12th International Conference on Human-Agent Interaction, ed. Muneeb Imtiaz Ahmad, Katrin Lohan, Mary Ellen Foster, Patrick Holthaus, and Yukie Nagai, 399-401. New York, NY, USA: ACM.
Richter, P., Wersing, H., and Vollmer, A. - L. (2024). “Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching” in Proceedings of the 12th International Conference on Human-Agent Interaction, Ahmad, M. I., Lohan, K., Foster, M. E., Holthaus, P., and Nagai, Y. eds. (New York, NY, USA: ACM), 399-401.
Richter, P., Wersing, H., & Vollmer, A.-L., 2024. Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. In M. I. Ahmad, et al., eds. Proceedings of the 12th International Conference on Human-Agent Interaction. New York, NY, USA: ACM, pp. 399-401.
P. Richter, H. Wersing, and A.-L. Vollmer, “Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching”, Proceedings of the 12th International Conference on Human-Agent Interaction, M.I. Ahmad, et al., eds., New York, NY, USA: ACM, 2024, pp.399-401.
Richter, P., Wersing, H., Vollmer, A.-L.: Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching. In: Ahmad, M.I., Lohan, K., Foster, M.E., Holthaus, P., and Nagai, Y. (eds.) Proceedings of the 12th International Conference on Human-Agent Interaction. p. 399-401. ACM, New York, NY, USA (2024).
Richter, Phillip, Wersing, Heiko, and Vollmer, Anna-Lisa. “Reducing Mental Model Mismatch with Intention-Based Feedback in Human-Robot Teaching”. Proceedings of the 12th International Conference on Human-Agent Interaction. Ed. Muneeb Imtiaz Ahmad, Katrin Lohan, Mary Ellen Foster, Patrick Holthaus, and Yukie Nagai. New York, NY, USA: ACM, 2024. 399-401.
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