Icon Design for Representing Safety-Critical Aircraft Functions to Support Supervisory Control of Remotely Piloted Aircraft Systems

Author:

Friedrich MaxORCID,Richards Dale,Vollrath Mark

Abstract

(1) Background: The transition from conventional to remote aircraft control will necessitate the development of novel human machine interfaces. When we consider the pilot interface, icons are traditionally used to associate meanings with functions on the flight deck, allowing the pilot to assimilate information effectively. Using established icon design principles, 18 icons, representing key safety-critical functions related to the operation of an aircraft, were designed for integration into a ground station. Pilots were then asked to evaluate these icons based on established icon characteristics. (2) Method: In an online questionnaire study, 29 pilots rated the icons on the icon characteristics of concreteness, complexity, familiarity, meaningfulness, and semantic distance. Alongside these metrics, concept and name agreement were captured for the icon set. (3) Results: Analysis indicated good icon-function fit overall. The findings show that emphasizing concreteness and familiarity improves icon-function fit, as long as the familiarity is directed at aviation-related artifacts. Further, concept agreement appears to be a better measure of icon-function fit in comparison to name agreement. (4) Conclusion: Most of the designed icons were well suited to represent their intended meaning. However, this study emphasizes the need for dedicated standardized icon characteristic norms for aviation systems.

Publisher

MDPI AG

Subject

Aerospace Engineering

Reference48 articles.

1. A summary of unmanned aircraft accident/incident data: Human factors implications. (DOT/FAA/AM-04/24). Federal Aviation Administration, Civil Aerospace Medical Institute https://apps.dtic.mil/sti/pdfs/ADA460102.pdf

2. Human Factors Guidelines for Unmanned Aircraft Systems

3. Unmanned Aircraft Systems

4. Remotely Piloted Aircraft;Hobbs,2017

Cited by 3 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. Evaluation of Icons to Support Safety Risk Monitoring of Autonomous Small Unmanned Aircraft Systems;2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS);2024-05-15

2. Icono: a universal language that shows what it says;Frontiers in Psychology;2023-07-28

3. Pilot’s Perspective on Single Pilot Operation: Challenges or Showstoppers;Engineering Psychology and Cognitive Ergonomics;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3