Using Theory of Mind in Explanations for Fostering Transparency in Human-Robot Interaction
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8718-4_34
Reference17 articles.
1. Ambsdorf, J., et al.: Explain yourself! effects of explanations in human-robot interaction. In: 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), pp. 393–400. IEEE (2022)
2. Angelopoulos, G., Di Martino, C., Rossi, A., Rossi, S.: Unveiling the learning curve: enhancing transparency in robot’s learning with inner speech and emotions. In: 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Busan, Republic of Korea, pp. 1922-1927(2023). https://doi.org/10.1109/RO-MAN57019.2023.10309352
3. Lecture Notes in Computer Science;G Angelopoulos,2022
4. Cashmore, M., et al.: ROSPlan: planning in the robot operating system. In: Proceedings of the International Conference on Automated Planning and Scheduling, vol. 25, pp. 333–341 (2015)
5. Cucciniello, I., Sangiovanni, S., Maggi, G., Rossi, S.: Mind perception in HRI: exploring users’ attribution of mental and emotional states to robots with different behavioural styles. Int. J. Soc. Robot. 15(5), 867–877 (2023)
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