The current level of User Interface complexity leaves almost no space for subjective assessment of user interaction design. Successful Human-Machine Interface (HMI) assessment can be conveyed through big data analysis of user behavior in the real environment. A series of interviews with UI/UX engineers from the leading Swedish automotive manufacturer revealed the limitations of existing methods and deficiency of objective information sources. Design of the case regarding real user data analysis that is presented can bring a better understanding of different users' behavior patterns, which can lead to the improvement of future HMI systems. The data-driven approach can establish a foundation of robust methodologies regarding the objective evaluation of HMI design.
Orlovska, J., Wickman, C., & Söderberg, R. (2018). Big Data Usage Can Be a Solution for User Behavior Evaluation: An Automotive Industry Example. In Procedia CIRP (Vol. 72, pp. 117–122). Elsevier B.V. https://doi.org/10.1016/j.procir.2018.03.102