Title

Enhancing The Effectiveness Of Human-Robot Teaming With A Closed-Loop System

Keywords

Adaptive systems; Inter-individual variability; Workload model

Abstract

With technological developments in robotics and their increasing deployment, human-robot teams are set to be a mainstay in the future. To develop robots that possess teaming capabilities, such as being able to communicate implicitly, the present study implemented a closed-loop system. This system enabled the robot to provide adaptive aid without the need for explicit commands from the human teammate, through the use of multiple physiological workload measures. Such measures of workload vary in sensitivity and there is large inter-individual variability in physiological responses to imposed taskload. Workload models enacted via closed-loop system should accommodate such individual variability. The present research investigated the effects of the adaptive robot aid vs. imposed aid on performance and workload. Results showed that adaptive robot aid driven by an individualized workload model for physiological response resulted in greater improvements in performance compared to aid that was simply imposed by the system.

Publication Date

2-1-2018

Publication Title

Applied Ergonomics

Volume

67

Number of Pages

91-103

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1016/j.apergo.2017.07.007

Socpus ID

85030314509 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85030314509

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