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Embry-Riddle Scholarly Commons · Journal article (JAAER)
Cognitive and Human-Automation Challenges in UAS-AAM Integration: A Thematic Review
Attribution
This is the abstract and citation. Full text lives at Embry-Riddle Scholarly Commons — we link out rather than host. All credit to the authors and Embry-Riddle Aeronautical University.
Abstract
Verbatim from Embry-Riddle Scholarly Commons. Not paraphrased, not summarized.
This paper identifies key cognitive and human-automation challenges in the integration of Uncrewed Aerial Systems (UAS) and Advanced Air Mobility (AAM) through a thematic review of existing academic and industrial literature. Human Factors considerations in UAS-AAM differ from those in conventional aviation and require greater attention before wide deployment. This research provides a thematic review of cognitive and human-automation challenges, including Level of Automation (LOA), Human Automation Teaming and Trust (HAT2), Situational Awareness and Attention (SAA), Cognitive Overload and Distress (COD), Vigilance and Fatigue (VF), and Human Machine Interface and Interaction (HMI2). By highlighting these challenges, this study provides a foundational understanding to guide human-machine interface design, policy development, and future research in the evolving UAS and AAM landscape.
Authors
- Yu, Jiahao Embry-Riddle Aeronautical University
- Mabior, Mabior Deng Kuer Embry-Riddle Aeronautical University
- Jin, Sooyon Embry-Riddle Aeronautical University
- Johnson, Mary E Embry-Riddle Aeronautical University
Keywords
- Human Factors
- UAS
- AAM
- Level of Automation
- Human Automation Teaming
- Situational Awareness
- Human-Machine Interface
Citation: Yu, Jiahao, Mabior, Mabior Deng Kuer, Jin, Sooyon , et al. (2026). Cognitive and Human-Automation Challenges in UAS-AAM Integration: A Thematic Review. Embry-Riddle Aeronautical University. Embry-Riddle Scholarly Commons ID oai:commons.erau.edu:jaaer-2228. https://commons.erau.edu/jaaer/vol35/iss2/2 ↗