The Effects of Operator Spatial Perception and Sensory Feedback on Human-Robot Teleoperation Performance
Abstract
Teleoperation requires a complex combination of the operator's cognitive, perceptual, and motor skills. Our experiment tested the ability of subjects to teleoperate a remote robot under different conditions of increasing sensory feedback. We also evaluated each operator's spatial perception skills using a battery of tests to understand the effect of spatial perception on the operator's ability to perform the teleoperation task. The experiment showed that the spatial ability of an operator—as reflected by a test battery of two spatial recognition and two spatial manipulation tests—was significantly correlated with the ability to teleoperate the robot through a maze. Surprisingly, providing different combinations of visual, auditory, and vibrotactile feedback to the operator did not significantly change performance. However, there was an interaction between spatial ability and feedback condition that affected teleoperation performance.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Adding multiple modalities can reduce the workload of the visual cortex, increase awareness, and improve task performance.
“By adding multiple modalities, it was found that the workload of the visual cortex can be reduced, the awareness may be increased and thus the task performance can be improved [9], [10].”
From Study of Multimodal Interfaces and the Improvements on Teleoperation (2020) · cites this paper as [9]
An audiovisuohaptic interface did not significantly increase performance during a teleoperated navigation task, but operator spatial ability and subjective performance did increase compared to using fewer interfaces.
“an audiovisuohaptic interface did not signi cantly increase performance during a teleoperated navigation task [9], but operator's spatial ability and subjective performance did increase compared to using fewer interfaces.”
From Study of Multimodal Interfaces and the Improvements on Teleoperation (2020) · cites this paper as [9]
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 16 · Cited by 123
- Authors
- Lathan, C. E., & Tracey, M.
- Affiliations
- AnthroTronix (United States) (US)
- Venue
- Presence: Teleoperators and Virtual Environments
- Publisher
- MIT Press - Journals
- Published
- 2002-08
- Volume
- 11
- Issue
- 4
- Pages
- 368-377
- ISSN
- 1054-7460 (ISSN-L)
- OpenAlex
- W2116979746
- Cited by
- 123
- References
- 16
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 9 · 2023: 5 · 2022: 8 · 2021: 3 · 2020: 6 · 2019: 7 · 2018: 5 · 2017: 9 · 2016: 3 · 2015: 5 · 2014: 4 · 2013: 7 · 2012: 7
- FWCI
- 1.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- PRESENCE Virtual and Augmented Reality (publishedVersion)
- Topics
- Physical Sciences › Engineering › Mechanical Engineering › Teleoperation and Haptic Systems
- Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Keywords
- teleoperation, human-robot interaction, spatial perception, sensory feedback, vibrotactile feedback, auditory feedback, visual feedback, spatial ability, teleoperation performance, maze navigation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review