Open AccessUser‐perceived styling experience of smart vehicles: a method to combine eye tracking with semantic differences
Author(s) -
Lin Li,
Guo Gang,
Xu Na
Publication year - 2019
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2018.5130
Subject(s) - waistline , human–computer interaction , eye tracking , semantics (computer science) , computer science , window (computing) , engineering , multimedia , artificial intelligence , world wide web , materials science , composite material , programming language
This study proposes a method to investigate the perceived experiences of the appearances of smart vehicles using a combination of eye‐movement tracking and semantics. The experiences of 89 participants regarding smart vehicle design were explored, targeting users’ perceived experiences of smart vehicles. The semantic results demonstrate that users felt ‘dynamic’, ‘fashionable’ and ‘sophisticated’, while designers felt ‘dependable’, ‘sophisticated’ and ‘dynamic’. Additionally, the eye‐movement data reveals that designers were more attracted to the grille, waistline, and hood, while users are more interested in the rear window. This indicates a clear inconsistency between designers and users in terms of the perceived styling semantics and interest areas for smart vehicles, which helps to provide the industry with valuable insight. This method can be used by smart vehicle researchers and development teams to identify the styling desires of target users in order to accurately convey findings to designers.