Academic Journal
Line-based and plane-based icon research for automotive user interfaces.
| Τίτλος: | Line-based and plane-based icon research for automotive user interfaces. |
|---|---|
| Συγγραφείς: | Yan Y; School of Art and Design, Guangdong University of Technology, Guangzhou, China., Meng L; School of Art and Design, Guangdong University of Technology, Guangzhou, China., Tang C; School of Art and Design, Guangdong University of Technology, Guangzhou, China., Yang X; School of Art and Design, Guangdong University of Technology, Guangzhou, China. |
| Πηγή: | International journal of occupational safety and ergonomics : JOSE [Int J Occup Saf Ergon] 2026 Sep; Vol. 32 (3), pp. 1051-1063. Date of Electronic Publication: 2026 Feb 18. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Taylor & Francis Country of Publication: England NLM ID: 9507598 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2376-9130 (Electronic) Linking ISSN: 10803548 NLM ISO Abbreviation: Int J Occup Saf Ergon Subsets: MEDLINE |
| Imprint Name(s): | Publication: 2015- : Abingdon, UK : Taylor & Francis Original Publication: Norwood, N.J. : Ablex Pub. Co., c1995- |
| Ιατρικοί όροι (MeSH): | User-Computer Interface* , Automobile Driving* , Automobiles*, Memory/physiology ; Humans ; Electroencephalography ; Female ; Male ; Young Adult ; Adult ; Recognition, Psychology ; Man-Machine Systems |
| Περίληψη: | Icons play a critical role in human-machine interaction scenarios such as autonomous driving. Although icons can effectively overcome language barriers, existing research on icon design for such contexts remains limited. In particular, icon classification methods lack consistency, and prior studies often focus on preference or attention while overlooking underlying cognitive mechanisms. Grounded in cognitive load theory, this study classifies icons based on visual features and investigates their effects on recognition and memory using an electroencephalography-based rapid interaction experiment. Data were collected from 43 participants to compare recognizability and memory load across different icon categories. Results show that visual features do not significantly influence recognition accuracy but have a significant effect on memory load. Specifically, line-based icons perform better under low memory load conditions, whereas plane-based icons demonstrate advantages in high memory load tasks. These findings provide empirical guidance for icon design in automotive user interface. |
| Contributed Indexing: | Keywords: emergency situations; event-related potentials; human–machine interaction; icon memory; icon recognition; user interface |
| Entry Date(s): | Date Created: 20260218 Date Completed: 20260924 Latest Revision: 20260924 |
| Update Code: | 20260925 |
| DOI: | 10.1080/10803548.2026.2622787 |
| PMID: | 41707240 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 2376-9130 |
|---|---|
| DOI: | 10.1080/10803548.2026.2622787 |