Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication

Visual displays are used in vehicle automation systems to communicate the vehicle’s perception of the surrounding environment to the driver and passengers. This visual communication may impact how humans interact with the vehicle during driving. Thus, careful design of vehicle automation system visual communication is important for vehicle-driver collaboration. However, there is a lack of systematic study on how the level of detail in vehicle automation visual communication affects human driver’s workload, engagement, and acceptance. This paper presents a pilot research aiming to assess the impact of visual communication level of detail in vehicle automation systems. Both objective evaluation and subjective evaluation are conducted with human driving data collected on a driving simulator. Experimental results show a good agreement between the proposed objective assessment and subjective assessment.

Authors

Institutions

Publication Details

Journal
IFAC-PapersOnLine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.ifacol.2025.07.004
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
2.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication

Junmin Wang, Yu Chul Lee
1 citations
IFAC-PapersOnLine
Human-Automation Interaction and Safety
2.44
article

Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication

Junmin Wang, Yu Chul Lee
article en
1 citations

Abstract

Visual displays are used in vehicle automation systems to communicate the vehicle’s perception of the surrounding environment to the driver and passengers. This visual communication may impact how humans interact with the vehicle during driving. Thus, careful design of vehicle automation system visual communication is important for vehicle-driver collaboration. However, there is a lack of systematic study on how the level of detail in vehicle automation visual communication affects human driver’s workload, engagement, and acceptance. This paper presents a pilot research aiming to assess the impact of visual communication level of detail in vehicle automation systems. Both objective evaluation and subjective evaluation are conducted with human driving data collected on a driving simulator. Experimental results show a good agreement between the proposed objective assessment and subjective assessment.

IFAC-PapersOnLineVol. 59(3)
Walker (United States) (US), The University of Texas at Austin (US)
Openalex Percentile: Top 11%
Human-Automation Interaction and Safety
2.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Human Impact of Visual Detail in Vehicle Lane-Keeping System Communication — Junmin Wang, Yu Chul Lee · IFAC-PapersOnLine (2025) | TGRS Research Map | TGRS