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Speech Interfaces and Pilot Performance: A Meta-Analysis

Kenneth A Ward · Embry-Riddle Aeronautical University · 2019

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<p>As the aviation industry modernizes, new technology and interfaces must support growing aircraft complexity without increasing pilot workload. Natural language processing presents just such a simple and intuitive interface, yet the performance implications for use by pilots remain unknown. A meta-analysis was conducted to understand performance effects of using speech and voice interfaces in a series of pilot task analogs. The inclusion criteria selected studies that involved participants performing a demanding primary task, such as driving, while interacting with a vehicle system to enter numbers, dial radios, or enter a navigation destination. Compared to manual system interfaces, voice interfaces reduced subjective workload and inattention. Time to complete interactions with the interface appear to vary based upon the individual system, with systems that require prompts or provide confirmation taking the longest. Implications of introducing natural language systems in aviation are discussed and recommendations for future study are provided.</p>

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APA 7

Ward, K. A. (2019). Speech Interfaces and Pilot Performance: A Meta-Analysis. https://doi.org/10.15394/ijaaa.2019.1305

MLA

Ward, Kenneth A. "Speech Interfaces and Pilot Performance: A Meta-Analysis." 2019. https://doi.org/10.15394/ijaaa.2019.1305.

Chicago

Ward, Kenneth A. 2019. "Speech Interfaces and Pilot Performance: A Meta-Analysis.". https://doi.org/10.15394/ijaaa.2019.1305.

Harvard

Ward, K. A. 2019, Speech Interfaces and Pilot Performance: A Meta-Analysis, Embry-Riddle Aeronautical University, available at: https://doi.org/10.15394/ijaaa.2019.1305 [Accessed 9 Aug. 2026].

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Title
Speech Interfaces and Pilot Performance: A Meta-Analysis
Author / contributors
Kenneth A Ward
Publisher
Embry-Riddle Aeronautical University
Publication year
2019
ISSN
2374-6793
ISSN
2374-6793
Language
English

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