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The growth of digital technologies dramatically increased the complexity of user interfaces in modern cars that made the usability evaluation an arduous task. Current usability evaluation methods cannot provide sufficient information about a user and system performance for such a complex and dynamic environment as automotive user interfaces. In this paper, we investigate how and to what extent the big data analysis can contribute to the usability attributes evaluation. We present the case study design for usability evaluation of Driver Support system, validated by the industry professionals.

BIG DATA ANALYSIS AS A NEW APPROACH FOR USABILITY ATTRIBUTES EVALUATION OF USER INTERFACES: AN AUTOMOTIVE INDUSTRY CONTEXT