Professor Ami Eidels is a Professor in the School of Psychological Sciences at the University of Newcastle, Australia. She specializes in cognitive psychology with a focus on information processing models, cognitive workload, and human-machine interaction. Her research bridges theoretical cognitive science with applied settings, particularly in defense and industry contexts. Professor Eidels completed her PhD in Cognitive Psychology at Tel Aviv University under the supervision of Professor Daniel Algom. She then pursued post-doctoral training in Mathematical Psychology at Indiana University with Professor James Townsend before joining the faculty at the University of Newcastle. Her research program centers on understanding how humans process and combine information from multiple sources, with particular emphasis on how cognitive workload affects processing efficiency and system capacity. Professor Eidels and her team conduct laboratory experiments, develop cognitive models, and apply systems factorial technology to analyze human performance. A significant portion of her recent work focuses on human-human and human-bot team performance, examining how collaboration and competition affect cognitive efficiency in team settings. Her approach integrates cognitive modeling with machine learning techniques to scale up traditional laboratory findings to more complex, real-world scenarios. Analysis of Professor Eidels' recent publications reveals a strong focus on cognitive workload measurement and human-machine interaction. Her work demonstrates consistent application of systems factorial technology across diverse domains including visual search, numeral recognition, team performance, and interface design. A notable trend is the expansion of cognitive modeling approaches to examine team dynamics, particularly how humans interact with AI systems. Her research increasingly addresses practical applications in areas such as aviation safety, user interface design, and cognitive assessment in neurodevelopmental conditions. Professor Eidels actively supervises students and collaborates with researchers across disciplines. Her work with defense and industry partners indicates applied research with real-world implications for system design and human performance optimization. While specific grant details are not provided in the available information, her extensive publication record and collaborative projects suggest significant research funding support. Her laboratory work encompasses both traditional cognitive experiments and innovative applications of cognitive science to practical problems. The integration of cognitive modeling with real-world applications represents a distinctive feature of her research program, allowing theoretical insights to inform practical solutions for human performance challenges.
