International Journal of Human-Computer Interaction · 2011 · 66 citations · 36 references
EngineeringInformation SystemsSystems EngineeringAutonomous VehiclesInteraction DesignUser Experience DesignAutomotive TechnologyVehicle ArchitectureIn-vehicle User ExperienceSystem Performance Modeling
In‑Vehicle Information Systems integrate most secondary vehicle functions to enhance the driving experience. The article reviews task, user, and system variables in IVISs and proposes a framework to model their interaction for better design and evaluation. The study reviews task, user, and system variables and proposes a framework to model IVIS performance. The proposed framework enables designers and evaluators to predict IVIS performance and design systems meeting usability criteria. Research sponsored by Jaguar Cars and the Engineering and Physical Sciences Research Council.
Abstract In-Vehicle Information Systems (IVISs) integrate most of the secondary functions available within vehicles. These secondary functions are aimed at enhancing the driving experience. To successfully design and evaluate the performance of these systems, a thorough understanding of the task, user, and system is required. This article presents a review of these three variables in the context of IVISs, which aims to enhance understanding of this specific task–user–system interaction. A framework for modeling system performance for the task–user–system interaction is also proposed. This will allow designers and evaluators of IVISs to make predictions about system performance and to design systems that meet a set of criteria for usable IVISs. Acknowledgments This research is sponsored by Jaguar Cars and the Engineering and Physical Sciences Research Council. Notes
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