Design methodology and evaluation of multimodal interaction for enhancing driving safety and experience in secondary tasks of IVIS

• The multimodal interaction design method (MIDM) for secondary tasks of driving receives better expert evaluation, improved driving performance, and higher user ratings. • A theoretical tool for MIDM is developed using a user experience map to enhance interaction in secondary tasks of driving. • Expert interviews, simulated driving, and user surveys show that the proposed method improves driving safety and interaction experience. • The proposed framework supports the application and development of multimodal interaction design in in-vehicle information systems for secondary tasks of driving. Human-computer interaction (HCI) of in-vehicle information systems (IVISs) is crucial to the safety and experience of drivers. However, the operation of secondary tasks of IVIS will cause distraction when driving. This paper aims to reduce driving distractions by multimodal interaction design, to enhance the user’s driving safety and interaction experience. Firstly, we analyze the secondary task and the associated interaction modes and develop a theory tool for multimodal interaction design modes. Then, three multimodal interaction schemes of typical secondary tasks are designed. Finally, the data of three evaluation indexes, namely expert evaluation, lane position, and user score, are obtained through expert interviews, simulated driving, and user questionnaires. The results demonstrate that the proposed multimodal interaction design of the secondary task is generally superior to the traditional voice and screen interaction, which is conducive to improving driving safety, performance, and interaction experience. The theoretical framework presented in this work provides a potential opportunity for the expansion of theoretical methods and applications of multimodal interaction design for secondary tasks.

Authors

Institutions

Publication Details

Journal
Displays
Published
2025-02-01
DOI
https://doi.org/10.1016/j.displa.2025.102991
Citations
2
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
4.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design methodology and evaluation of multimodal interaction for enhancing driving safety and experience in secondary tasks of IVIS

Yuanyang Zuo, Jun Ma, Zaiyan Gong, Meng Yu
2 citations
Displays
Human-Automation Interaction and Safety
4.88
article

Design methodology and evaluation of multimodal interaction for enhancing driving safety and experience in secondary tasks of IVIS

Yuanyang Zuo, Jun Ma, Zaiyan Gong, Meng Yu
article en
2 citations

Abstract

• The multimodal interaction design method (MIDM) for secondary tasks of driving receives better expert evaluation, improved driving performance, and higher user ratings. • A theoretical tool for MIDM is developed using a user experience map to enhance interaction in secondary tasks of driving. • Expert interviews, simulated driving, and user surveys show that the proposed method improves driving safety and interaction experience. • The proposed framework supports the application and development of multimodal interaction design in in-vehicle information systems for secondary tasks of driving. Human-computer interaction (HCI) of in-vehicle information systems (IVISs) is crucial to the safety and experience of drivers. However, the operation of secondary tasks of IVIS will cause distraction when driving. This paper aims to reduce driving distractions by multimodal interaction design, to enhance the user’s driving safety and interaction experience. Firstly, we analyze the secondary task and the associated interaction modes and develop a theory tool for multimodal interaction design modes. Then, three multimodal interaction schemes of typical secondary tasks are designed. Finally, the data of three evaluation indexes, namely expert evaluation, lane position, and user score, are obtained through expert interviews, simulated driving, and user questionnaires. The results demonstrate that the proposed multimodal interaction design of the secondary task is generally superior to the traditional voice and screen interaction, which is conducive to improving driving safety, performance, and interaction experience. The theoretical framework presented in this work provides a potential opportunity for the expansion of theoretical methods and applications of multimodal interaction design for secondary tasks.

DisplaysVol. 87
Tongji University (CN)
Openalex Percentile: Top 7%
Human-Automation Interaction and Safety
4.88
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.

Design methodology and evaluation of multimodal interaction for enhancing driving safety and experience in secondary tasks of IVIS — Yuanyang Zuo, Jun Ma, et al. · Displays (2025) | TGRS Research Map | TGRS