Design And Experimental Validation Of Transparent Behavior For A Workload-Adaptive Cognitive Agent

Keywords

Adaptive automation; Human factors; Human-Agent teaming; SAT model; Situation awareness; Transparency; Trust in automation

Abstract

This work describes and validates a concept of transparent behavior for adaptive automation in the field of military helicopter missions. The adaptive automation is implemented as a cognitive agent, to serve as an artificial co-pilot. It dynamically adjusts its level of assistance by choosing from different workload-adapted strategies of assistive intervention. However, adaptive interventions may entail a possible drawback. It might be difficult for the human operator to build up a sufficient and stable mental model of the interaction. For the purpose of creating transparent behavior, this contribution provides an approach for the agent to communicate in a more human-like fashion. To quantify the impacts of the additional transparency information the artificial agent communicated, we conducted a human-in-the-loop experiment. The results revealed an enhancement of situation awareness and an increase of perceivable intelligence and other human-like characteristics of the cognitive agent.

Publication Date

1-1-2018

Publication Title

Advances in Intelligent Systems and Computing

Volume

722

Number of Pages

173-179

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/978-3-319-73888-8_28

Socpus ID

85040222023 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85040222023

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