A gaze- and speech-driven LLM framework for assistive robots matches a scripted interaction pipeline on task performance while slightly increasing user-perceived confidence, at higher energy cost.
The Effect of Anthropomorphism on Trust in an Industrial Human-Robot Interaction,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
other 1
citation-polarity summary
fields
cs.RO 1years
2025 1verdicts
CONDITIONAL 1roles
other 1polarities
unclear 1representative citing papers
citing papers explorer
-
Gaze-supported Large Language Model Framework for Bi-directional Human-Robot Interaction
A gaze- and speech-driven LLM framework for assistive robots matches a scripted interaction pipeline on task performance while slightly increasing user-perceived confidence, at higher energy cost.