Big Data Usage Can Be a Solution for User Behavior Evaluation: An Automotive Industry Example
Paper i proceeding, 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

data analysis

big data

automotive UI

real user data

HMI

usability

user behavior

user interaction

Författare

Julia Orlovska

Chalmers, Industri- och materialvetenskap, Produktutveckling

Casper Wickman

Volvo Cars

Chalmers, Industri- och materialvetenskap, Produktutveckling

Rikard Söderberg

Chalmers, Industri- och materialvetenskap

Procedia CIRP

22128271 (eISSN)

Vol. 72 1 117-122

51st CIRP Conference on Manufacturing Systems
, Sweden,

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Interaktionsteknik

Människa-datorinteraktion (interaktionsdesign)

Styrkeområden

Produktion

DOI

10.1016/j.procir.2018.03.102

Mer information

Senast uppdaterat

2024-07-22