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This study investigates how AI-based Human-Autonomy Teaming (HAT) can support pilot decision-making under high workload, compromised situational awareness, and time pressure. In a high-fidelity Airbus A320 simulator, 22 airline pilots performed a fuel- and time-constrained approach scenario designed to challenge HAT\u2019s operational effectiveness under four conditions: no assistance, on-demand AI, proactive AI, and proactive explainable AI. Workload (NASA-TLX) remained high across conditions, yet decision-making differed markedly. Without assistance, only 20% chose the safest landing option; with on-demand AI, 40%; and with proactive AI (both versions), 100%. Explainable AI yielded the highest scenario comprehension (75%), matching two-crew baseline performance. Proactive systems increased decision and SA related interactions, fostering a collaborative dynamic akin to traditional crew resource management. Thus, the results demonstrate that, in the context of SPO, proactive and explainable AI was associated with crew-level decision performance within the experimental scenario without adding cognitive load. Beyond the aeronautical domain, our results are of interest for the design of cognitive support systems for high-risk domains where teams composed of humans and AI must adapt in real time.<\/jats:p>","DOI":"10.1177\/15553434261477781","type":"journal-article","created":{"date-parts":[[2026,10,22]],"date-time":"2026-10-22T10:56:12Z","timestamp":1792666572000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Decision-Making in Single-Pilot Operations Through Proactive and Explainable Human-Autonomy Teaming"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-5737-6789","authenticated-orcid":false,"given":"Charles","family":"Dormoy","sequence":"first","affiliation":[{"name":"CATIE,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0865-4618","authenticated-orcid":false,"given":"Turkan","family":"Hentati","sequence":"additional","affiliation":[{"name":"CATIE,"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8670-0280","authenticated-orcid":false,"given":"Theodore","family":"Letouz\u00e9","sequence":"additional","affiliation":[{"name":"Universit\u00e9 de Bordeaux"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,10,22]]},"reference":[{"key":"e_1_3_4_2_1","unstructured":"A20N en-route northwest Colombia 2022 | SKYbrary Aviation Safety. 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