Big Data Usage Can Be a Solution for User Behavior Evaluation: An Automotive Industry Example
Paper in proceedings, 2018

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

real user data

usability

data analysis

user interaction

big data

automotive UI

user behavior

HMI

Author

Julia Orlovska

Chalmers, Industrial and Materials Science, Product Development

Casper Wickman

Chalmers, Industrial and Materials Science, Product Development

Rikard Söderberg

Chalmers, Industrial and Materials Science

Procedia CIRP, 72

2212-8271 (ISSN)

Vol. Volume 72 1 117-122

51st CIRP Conference on Manufacturing Systems
, Sweden,

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Interaction Technologies

Human Computer Interaction

Areas of Advance

Production

DOI

10.1016/j.procir.2018.03.102

More information

Latest update

12/7/2018