Human-Robot Conversational Interaction (HRCI)

McMillan, Donald; Jaber, Razan; Cowan, Benjamin R.; Fischer, Joel E.; Irfan, Bahar; Cumbal, Ronald; Zargham, Nima; Lee, Minha

Abstract

Conversation is one of the primary methods of interaction between humans and robots. It provides a natural way of communication with the robot, thereby reducing the obstacles that can be faced through other interfaces (e.g., text or touch) that may cause difficulties to certain populations, such as the elderly or those with disabilities, promoting inclusivity in Human-Robot Interaction (HRI). Work in HRI has contributed significantly to the design, understanding and evaluation of human-robot conversational interactions. Concurrently, the Conversational User Interfaces (CUI) community has developed with similar aims, though with a wider focus on conversational interactions across a range of devices and platforms. This workshop aims to bring together the CUI and HRI communities to outline key shared opportunities and challenges in developing conversational interactions with robots, resulting in collaborative publications targeted at the CUI 2023 provocations track.

Citation

McMillan, D., Jaber, R., Cowan, B. R., Fischer, J. E., Irfan, B., Cumbal, R., Zargham, N., & Lee, M. (2023, March). Human-Robot Conversational Interaction (HRCI). Presented at ACM/IEEE International Conference on Human-Robot Interaction, Stockholm, Sweden

• Presentation Conference Type: Edited Proceedings
• Conference Name: ACM/IEEE International Conference on Human-Robot Interaction
• Start Date: Mar 13, 2023
• End Date: Mar 16, 2023
• Acceptance Date: Nov 29, 2022
• Online Publication Date: Mar 13, 2023
• Publication Date: Mar 13, 2023
• Deposit Date: Mar 13, 2023
• Publicly Available Date: Mar 22, 2023
• Publisher: Association for Computing Machinery (ACM)
• Pages: 923-925
• Book Title: HRI '23 companion: companion of the ACM/IEEE International Conference on Human-Robot Interaction
• ISBN: 9781450399708
• DOI: https://doi.org/10.1145/3568294.3579954
• Public URL: https://nottingham-repository.worktribe.com/output/18238144
• Publisher URL: https://dl.acm.org/doi/10.1145/3568294.3579954