Garrett Sadler

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About

Garrett Sadler is a researcher focused on the human dimensions of emerging technologies, particularly in the realms of autonomous systems and cybersecurity. His work critically examines the trust barriers that impede the adoption of future autonomy, offering a qualitative lens to understand user perceptions and systemic challenges. In his most-cited paper, "Exploring Trust Barriers to Future Autonomy: A Qualitative Look" (2017), Sadler provides foundational insights into how distrust, transparency, and control dynamics shape human-automation interaction. This work, with 10 citations, has informed subsequent studies on designing more acceptable and reliable autonomous technologies. Sadler’s contributions bridge technical development and social science, emphasizing that successful autonomy depends not only on algorithmic performance but also on addressing user concerns and ethical implications. His research is particularly valuable for students and engineers seeking to create human-centered AI systems that foster trust and collaboration. Through his qualitative approach, Sadler highlights the critical role of user experience in shaping the future of intelligent machines.