UAS integration in congested terminal airspace: challenges posed to pilots

Author:

Diiulio Julie1,Militello Laura G.1,Klein Devorah E.2

Affiliation:

1. Applied Decision Science, 5335 Far Hills Ave #103, Dayton, OH 45429, USA.

2. Marimo Consulting, 44 Capen Street, Medford, MA 02155, USA.

Abstract

There is increasing demand to operate unmanned aircraft systems (UAS) in congested terminal environments, such as busy commercial airports. With this demand comes challenges to pilots. To identify these challenges, we conducted critical decision method (CDM) interviews with pilots. CDM is a cognitive task analysis method aimed at uncovering tacit cognitive challenges. Eight pilots from the U.S. were interviewed including four UAS pilots and four commercial pilots. Interviews were analyzed using thematic analysis, resulting in the identification of four categories of cognitive challenges: (i) noticing anomalies, (ii) diagnosing automation behavior, (iii) understanding when and how to intervene, and (iv) coordinating with air traffic control. In this paper, we describe each challenge, highlight real-world examples from our interviews, and provide some recommendations for addressing the implications of integrating UAS in congested terminal airspace.

Publisher

Canadian Science Publishing

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Aerospace Engineering,Automotive Engineering,Control and Systems Engineering

Reference11 articles.

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4. Informing Autonomous System Design Through the Lens of Skill-, Rule-, and Knowledge-Based Behaviors

5. From Here to Autonomy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cognitive Task Analysis of Unmanned Aircraft System Pilots;The International Journal of Aerospace Psychology;2021-03-31

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