arbiter
JournalsPricingAccount

Line-based and plane-based icon research for automotive user interfaces

Yunzhi Yan et al.

International Journal of Occupational Safety and Ergonomics2026https://doi.org/10.1080/10803548.2026.2622787article
AJG 1
Weight
0.37

What the paper says

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.

1 citation

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1080/10803548.2026.2622787

Or copy a formatted citation

@article{yunzhi2026,
  title        = {{Line-based and plane-based icon research for automotive user interfaces}},
  author       = {Yunzhi Yan et al.},
  journal      = {International Journal of Occupational Safety and Ergonomics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/10803548.2026.2622787},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Line-based and plane-based icon research for automotive user interfaces

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.37

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.16 × 0.4 = 0.06
M · momentum0.53 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.