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

人机交互 计算机科学 系统工程 工程类
作者
Jun Ma,Yuanyang Zuo,Zaiyan Gong,Meng Yu
出处
期刊:Displays [Elsevier BV]
卷期号:87: 102991-102991 被引量:5
标识
DOI:10.1016/j.displa.2025.102991
摘要

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.
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