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Bobbie D. SeppeltPostdoctoral Research Associate, The University of Wisconsin-Madison?, Cognitive Systems Laboratorybdseppelt@wisc.eduResearch InterestsInterface design and driver support, automation reliance and supervisory control, design and testing of in-vehicle technologies, application of ecological frameworks to interface design, trust in automation.Integrating Ecological Interface Design into the Engineering Design Process for Vehicles (Nissan): The goal of this project was to apply Cognitive Work Analysis (CWA) and Ecological Interface Design (EID) to the driving domain to produce display guidelines for advanced driver support systems. Bobbie D. Seppelt examined the effect of displayed system limits of Adaptive Cruise Control (ACC) on human-system performance. She developed an EID display that supported safe braking response and headway maintenance and that resulted in appropriate reliance . Some of her activities included a literature review of visual attention, a cognitive task analysis of the control tasks associated with headway maintenance, situation assessment, and collision avoidance , experimental testing, and development of automation design requirements. Cognitive Work Analysis Applied to Littoral Combat Domain (Aptima): The goal of this project was to develop innovative mission plan understanding/assessment tools that will enable a mission manager of multiple heterogeneous unmanned vehicles to rapidly judge the value of plans developed by autonomous systems, choose between plan options, and understand how best to modify plans to achieve high-level tactical goals. Some of Bobbie D. Seppelt's activities on this project included creating an Abstraction Hierarchy (AH), conducting a control task analysis of the littoral combat domain, building display disturbance examples from a use case scenario, and developing a display prototype from the CWA analysis. Auditory Versus Visual Delivery of In-Vehicle? Task Information (GM): The goal of this project was to characterize the effect of information modality and display location on attention management and interruption in driving, and to define the degree and kind of resources removed from the primary driving task when distracted. Bobbie D. Seppelt studied the role of in-vehicle task message redundancy, modality, and relevance on driving safety and performance. In a first experiment, she examined the interference between in-vehicle technology and driving performance, and in a second, she analyzed the modality and display layout effects of in-vehicle information. Select References
Cross ReferencesBobbie D. Seppelt UIowa CSL lab member page |