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Guided by practical problems in human driving performance and interface design, we ask basic theoretical questions such as how do we attend to important information across the extended visual field; how does attention influence higher cognitive functions, individual differences and age-related changes in attention; how is attention improved by training; and the underlying neuropsychological mechanisms. These fundamental research questions are closely connected to our investigations of practical issues such as aging and driving; driving and distraction; the development of cognitive training tools to enhance performance on daily tasks such as driving; and information presentation on large displays.


Spatial distribution of attention

This line of research investigates spatial distribution of selective attention over a wide field of view. We design experiments to understand: How does attention select targets among distractors? When attending to multiple noncontiguous locations, is the focus divided or expanded? Is attentional ability evenly distributed across the entire visual field?


Aging and individual differences

This line of research explores aging and individual differences in attentional functions. We are interested in how aging affects attention, and individual differences in cognitive aging.


Working memory and spatial cognition

This line of research examines the relations among attention, visuospatial working memory, and spatial cognition. Using the dual-task paradigm and individual-difference approach, we investigate whether attentional resources is the sole constraint for working memory capacity, and how spatial attention and working memory supports higher level spatial functions.


Cognitive training

This line of research investigates training benefits on spatial skills, using both behavioral and cognitive neuroscience methods. Experiments and component analysis are used to reveal important game attributes to induce benefits.


Human factors in driving

This line of research involves applying the above theoretical findings to practical areas like aging and driving, and driver distraction. We investigates how driving performance changes with age, how to measure and maintain driving ability in old age, how distracting activities affect driving, and how drivers interact with advanced driving technology.


Human-computer interaction

This line of research involves applications of the theoretical findings to practical areas such as users' perception toward technology, and spatial layout of information on large displays.


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