Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
