Intuitive Human-Robot Interaction: Development and Evaluation of a Gesture-Based User Interface for Object Selection
Bijan Kavousian, Oliver Petrovic, Werner Herfs

TL;DR
This paper introduces a gesture-based user interface for object selection in human-robot interaction, demonstrating its effectiveness through an experiment with 20 participants that shows promising accuracy and efficiency.
Contribution
The work develops and evaluates a novel gesture-based interface for object selection, enhancing natural communication in human-robot collaboration.
Findings
Gesture-based interface achieves high accuracy in object selection.
Participants demonstrated efficient selection times.
The approach shows potential for natural human-robot interaction.
Abstract
Gestures are a natural form of communication between humans and can also be leveraged for human-robot interaction. This work presents a gesture-based user interface for object selection using pointing and click gestures. An experiment with 20 participants evaluates accuracy and selection time, demonstrating the potential for efficient collaboration.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
