Augmented Body Communicator: Enhancing daily body expression for people with upper limb limitations through LLM and a robotic arm
May 09, 2025 Β· Declared Dead Β· π NASA/ESA Conference on Adaptive Hardware and Systems
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Authors
Songchen Zhou, Mark Armstrong, Giulia Barbareschi, Toshihiro Ajioka, Zheng Hu, Ryoichi Ando, Kentaro Yoshifuji, Masatane Muto, Kouta Minamizawa
arXiv ID
2505.05832
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.RO
Citations
0
Venue
NASA/ESA Conference on Adaptive Hardware and Systems
Last Checked
5 months ago
Abstract
Individuals with upper limb movement limitations face challenges in interacting with others. Although robotic arms are currently used primarily for functional tasks, there is considerable potential to explore ways to enhance users' body language capabilities during social interactions. This paper introduces an Augmented Body Communicator system that integrates robotic arms and a large language model. Through the incorporation of kinetic memory, disabled users and their supporters can collaboratively design actions for the robot arm. The LLM system then provides suggestions on the most suitable action based on contextual cues during interactions. The system underwent thorough user testing with six participants who have conditions affecting upper limb mobility. Results indicate that the system improves users' ability to express themselves. Based on our findings, we offer recommendations for developing robotic arms that support disabled individuals with body language capabilities and functional tasks.
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