Title

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

Socpus ID

85026242905 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85026242905

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