Human Interaction With Robotic Systems: Performance And Workload Evaluations
Keywords
human-robot interaction; Objective performance; physiological reactions; subjective response; tactile signalling
Abstract
We first tested the effect of differing tactile informational forms (i.e. directional cues vs. static cues vs. dynamic cues) on objective performance and perceived workload in a collaborative human–robot task. A second experiment evaluated the influence of task load and informational message type (i.e. single words vs. grouped phrases) on that same collaborative task. In both experiments, the relationship of personal characteristics (attentional control and spatial ability) to performance and workload was also measured. In addition to objective performance and self-report of cognitive load, we evaluated different physiological responses in each experiment. Results showed a performance–workload association for directional cues, message type and task load. EEG measures however, proved generally insensitive to such task load manipulations. Where significant EEG effects were observed, right hemisphere amplitude differences predominated, although unexpectedly these latter relationships were negative. Although EEG measures were partially associated with performance, they appear to possess limited utility as measures of workload in association with tactile displays. Practitioner Summary: As practitioners look to take advantage of innovative tactile displays in complex operational realms like human–robotic interaction, associated performance effects are mediated by cognitive workload. Despite some patterns of association, reliable reflections of operator state can be difficult to discern and employ as the number, complexity and sophistication of these respective measures themselves increase.
Publication Date
10-3-2017
Publication Title
Ergonomics
Volume
60
Issue
10
Number of Pages
1351-1368
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1080/00140139.2016.1254282
Copyright Status
Unknown
Socpus ID
85026242905 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85026242905
STARS Citation
Reinerman-Jones, L.; Barber, D. J.; Szalma, J. L.; and Hancock, P. A., "Human Interaction With Robotic Systems: Performance And Workload Evaluations" (2017). Scopus Export 2015-2019. 5216.
https://stars.library.ucf.edu/scopus2015/5216