Assessing driver distraction from in-vehicle information system: an on-road study exploring the effects of input modalities and secondary task types

In-vehicle information system (IVIS) use is prevalent among young adults. However, their interaction with IVIS needs to be better understood. Therefore, an on-road study aims to explore the effects of input modalities and secondary task types on young drivers' secondary task performance, driving performance, and visual glance behavior. A 2 × 4 within-subject design was undertaken. The independent variables are input modalities (auditory-speech and visual-manual) and secondary task types (calls, music, navigation, and radio). The dependent variables include secondary task performance (task completion time, number of errors, and SUS), driving performance (average speed, number of lane departure warnings, and NASA-TLX), and visual glance behavior (average glance duration, number of glances, total glance duration, and number of glances over 1.6 s). The statistical analysis result showed that the main effect of input modalities is significant, with more distraction during visual-manual than auditory-speech. The main impact of secondary task types was also substantial across most metrics, aside from average speed and average glance duration. Navigation and music were the most distracting, followed by calls, and radio came in last. The distracting effect of input modalities is relatively stable and generally not moderated by the secondary task types, except radio tasks. The findings practically benefit the driver-friendly human-machine interface design, preventing IVIS-related distraction.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2024-08-31
DOI
https://doi.org/10.1038/s41598-024-71226-4
Citations
13
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
8.37

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing driver distraction from in-vehicle information system: an on-road study exploring the effects of input modalities and secondary task types

Yongsheng Xu, Qi Zhong, Pengfei Gao, Feng Shu et al.
13 citations
Scientific Reports
Human-Automation Interaction and Safety
8.37
article

Assessing driver distraction from in-vehicle information system: an on-road study exploring the effects of input modalities and secondary task types

Yongsheng Xu, Qi Zhong, Pengfei Gao, Feng Shu, Jinyi Zhi
article en
13 citations

Abstract

In-vehicle information system (IVIS) use is prevalent among young adults. However, their interaction with IVIS needs to be better understood. Therefore, an on-road study aims to explore the effects of input modalities and secondary task types on young drivers' secondary task performance, driving performance, and visual glance behavior. A 2 × 4 within-subject design was undertaken. The independent variables are input modalities (auditory-speech and visual-manual) and secondary task types (calls, music, navigation, and radio). The dependent variables include secondary task performance (task completion time, number of errors, and SUS), driving performance (average speed, number of lane departure warnings, and NASA-TLX), and visual glance behavior (average glance duration, number of glances, total glance duration, and number of glances over 1.6 s). The statistical analysis result showed that the main effect of input modalities is significant, with more distraction during visual-manual than auditory-speech. The main impact of secondary task types was also substantial across most metrics, aside from average speed and average glance duration. Navigation and music were the most distracting, followed by calls, and radio came in last. The distracting effect of input modalities is relatively stable and generally not moderated by the secondary task types, except radio tasks. The findings practically benefit the driver-friendly human-machine interface design, preventing IVIS-related distraction.

Scientific ReportsVol. 14(1)
Southwest Jiaotong University (CN)
National Natural Science Foundation of China, Southwest Jiaotong University, Natural Science Foundation of Sichuan Province, National Key Research and Development Program of China
Openalex Percentile: Top 2%
Human-Automation Interaction and Safety
8.37
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.