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

DS 92: Proceedings of the DESIGN 2018 15th International Design Conference

Year: 2018
Editor: Marjanović D., Štorga M., Škec S., Bojčetić N., Pavković N.
Author: Orlovska, Julia; Wickman, Casper; Söderberg, Rikard
Series: DESIGN
Section: DESIGN INFORMATION AND KNOWLEDGE
Page(s): 1651-1662
DOI number: https://doi.org/10.21278/idc.2018.0243

Abstract

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.

Keywords: big data analysis, artificial intelligence (AI), user experience, usability, user interface

Download

Please sign in to your account

This site uses cookies and other tracking technologies to assist with navigation and your ability to provide feedback, analyse your use of our products and services, assist with our promotional and marketing efforts, and provide content from third parties. Privacy Policy.