In a haptic point-to-point study, a shared controller that preserves task-irrelevant movement variability produced comparable task performance but significantly higher perceived usability than a variability-constraining controller.
Demonstration-Guided Deep Reinforcement Learning of Control Policies for Dexterous Human- Robot Interaction, in: 2019 International Conference on Robotics and Automation (ICRA)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.HC 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
The Role of Variability in Human-Machine Interaction Experience
In a haptic point-to-point study, a shared controller that preserves task-irrelevant movement variability produced comparable task performance but significantly higher perceived usability than a variability-constraining controller.