TR
EN
Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives
Öz
Aerospace technologies represent some of the most advanced innovations of the modern age. Artificial Intelligence (AI) has become a transformative force in this sector, paving the way for a future where fully autonomous aircraft may carry out air transport. This possibility also brings with it socio-technical challenges, particularly regarding passenger acceptance. This study utilizes a technology acceptance model to examine the intention to fly in AI-controlled aircraft. Data collected from 258 participants were analyzed using structural equation modeling (SEM). The findings show that trust significantly increases perceived usefulness while decreasing perceived risk, playing a central role in the model. Conversely, perceived risk negatively affects perceived usefulness. Perceived usefulness emerges as the strongest predictor of intention to use. Another important finding is that perceived ease of use is not functional in the model. This suggests that in high-risk technologies that have not been directly experienced, evaluations are based more on trust and risk perception than on usability. The proposed model strongly explains both perceived usefulness and intention to use. The findings highlight the critical importance of trust for societal acceptance of AI-based aviation and offer actionable insights for developers, airlines, and policymakers.
Anahtar Kelimeler
Etik Beyan
This study has been found to be in compliance with research and publication ethics by the İskenderun Technical University Scientific Research and Publication Ethics Board's decision with number 10, dated 03.11.2025. This article meets the standards of research and publication ethics.
Kaynakça
- Abuhassna, H., Yahaya, N., Zakaria, M. A. Z. M., Zaid, N. M., Samah, N. A., Awae, F., Nee, C. K., & Alsharif, A. H. (2023). Trends on using the technology acceptance model (TAM) for online learning: A bibliometric and content analysis. International Journal of Information and Education Technology, 13(1), 131–142. https://doi.org/10.18178/ijiet.2023.13.1.1788
- Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
- Avetisyan, L., Abolarin, E., Zakarian, V., Yang, X. J., & Zhou, F. (2025). The mediating effects of emotions on trust through risk perception and system performance in automated driving. International Journal of Human-Computer Studies, 205. https://doi.org/10.1016/j.ijhcs.2025.103642
- Bağlıbel, M., Samancıoğlu, M., & Summak, M. S. (2010). Okul yöneticileri tarafından e-okul uygulamasının genişletilmiş teknoloji kabul modeline göre değerlendirilmesi. Mustafa Kemal Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 7(13), 331–348.
- Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, 8(4). https://doi.org/10.17705/1jais.00122
- Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
- Belton, O., & Dillon, S. (2021). Futures of autonomous flight: Using a collaborative storytelling game to assess anticipatory assumptions. Futures, 128. https://doi.org/10.1016/j.futures.2020.102688
- Bliss, T. J., & Wise, A. J. (2023). Examining the future of automation in commercialized flight and its impact on airline pilots. The Collegiate Aviation Review, 41(2). https://doi.org/10.22488/okstate.24.100205
Ayrıntılar
Birincil Dil
İngilizce
Konular
Hava Taşımacılığı ve Nakliye Hizmetleri
Bölüm
Araştırma Makalesi
Yazarlar
Yayımlanma Tarihi
31 Ağustos 2026
Gönderilme Tarihi
29 Mart 2026
Kabul Tarihi
12 Mayıs 2026
Yayımlandığı Sayı
Yıl 2026 Cilt: 6 Sayı: 2
APA
Durmuşçelebi, C. (2026). Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives. Havacılık ve Uzay Çalışmaları Dergisi, 6(2), 265-280. https://doi.org/10.52995/jass.1918605
AMA
1.Durmuşçelebi C. Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives. JASS. 2026;6(2):265-280. doi:10.52995/jass.1918605
Chicago
Durmuşçelebi, Cemal. 2026. “Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives”. Havacılık ve Uzay Çalışmaları Dergisi 6 (2): 265-80. https://doi.org/10.52995/jass.1918605.
EndNote
Durmuşçelebi C (01 Ağustos 2026) Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives. Havacılık ve Uzay Çalışmaları Dergisi 6 2 265–280.
IEEE
[1]C. Durmuşçelebi, “Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives”, JASS, c. 6, sy 2, ss. 265–280, Ağu. 2026, doi: 10.52995/jass.1918605.
ISNAD
Durmuşçelebi, Cemal. “Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives”. Havacılık ve Uzay Çalışmaları Dergisi 6/2 (01 Ağustos 2026): 265-280. https://doi.org/10.52995/jass.1918605.
JAMA
1.Durmuşçelebi C. Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives. JASS. 2026;6:265–280.
MLA
Durmuşçelebi, Cemal. “Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives”. Havacılık ve Uzay Çalışmaları Dergisi, c. 6, sy 2, Ağustos 2026, ss. 265-80, doi:10.52995/jass.1918605.
Vancouver
1.Cemal Durmuşçelebi. Passenger acceptance of AI-controlled flight operations: Trust and risk perspectives. JASS. 01 Ağustos 2026;6(2):265-80. doi:10.52995/jass.1918605