Alexander Lingler
Papers
1
Total Citations
1
H-Index
1
About
Dr. Alexander Lingler is a leading researcher in human-computer interaction and cognitive engineering, with a primary focus on attention management in complex, multitasking environments. His work is pivotal in understanding how operators—from pilots to automated vehicle drivers—interact with AI-supported systems under dynamic conditions. Lingler’s major contributions lie in evaluating the effects of multitasking on cognitive load and designing reinforcement learning-based Attention Management Systems (AMSs) that adaptively support users. His most-cited paper, “Evaluating the Effect of Different Multitasking Conditions in AI-Supported Attention Management Systems” (2025), has already garnered 1 citation, reflecting its emerging impact in the field. By systematically analyzing how users monitor and switch between tasks in high-stakes scenarios like aviation and robotics, Lingler’s research provides foundational insights for safer, more intuitive human-AI collaboration. His work bridges cognitive psychology and AI, offering practical frameworks for developing systems that reduce operator error and enhance performance. Lingler’s contributions are particularly notable for their direct applicability to real-world challenges, positioning him as a rising voice in the intersection of AI and human factors engineering.
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Top Papers
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