Attune: A Self-Annotation Tool for Understanding Robot Operator Attention Profiles
2.80T1 sourcearXiv cs.RO
arXiv cs.ROoriginal source ↗
Source record
Published by arXiv cs.RO (T1 source). The original is at https://arxiv.org/abs/2608.12650.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAttune is a pre-deployment tool that uses eye gaze tracking and AI-assisted annotation to characterize how human operators allocate attention while supervising multiple robots. A user study evaluated the tool's ability to identify visual triggers of gaze shifts and summarize operator attention patterns.
Why it mattersNiche but concrete tool for a real problem: calibrating robot behavior to operator attention in multi-robot supervision. Useful as a reference for HRI interface design work.
Cited by
No citations on record.