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There is evidence that consumers' emotions can affect their behavior and performance when performing tasks using a system [1]. In the automotive industry, it is particularly important to focus on consumers' emotional experience and its influence on vehicle interactions, in addition to traditional usability and performance measures. This paper focuses on a qualitative, user-based usability assessment and design support tool that measures subjective dimensions of consumers' experience when interacting with systems. In addition, this paper describes the development of a predictive model relating subjective experience from interacting with a vehicle system and overall satisfaction with that system. Results from this study revealed that consumers' overall satisfaction can be related to dimensions of ease-of-use, shape, and reach/manipulation.