Abstract
With the development of autonomous technology, the research into multimodal human-machine interaction (HMI) for autonomous vehicles (AVs) has attracted extensive attention, especially in automotive wellness. To support the design of HMIs for automotive wellness in AVs, this paper proposes a multimodal design framework. First, three elements of the framework were envisioned based on the typical composition of an interactive system. Second, a five-step process for utilizing the proposed framework was suggested. Third, the framework was applied in a design education course for exemplification. Finally, the AttrakDiff questionnaire was used to evaluate these interactive prototypes with 20 participants who had an affinity for HMI design. The questionnaire responses showed that the overall impression was positive and this framework can help design students to effectively identify research gaps and expand design concepts in a systematic way. The proposed framework offers a design approach for the development of multimodal HMIs for autonomous wellness in AVs.
Subject
Computer Networks and Communications,Computer Science Applications,Human-Computer Interaction,Neuroscience (miscellaneous)
Cited by
3 articles.
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1. A Review on the Development of the In-Vehicle Human-Machine Interfaces in Driving Automation: A Design Perspective;Proceedings of the 16th International Conference on Automotive User Interfaces and Interactive Vehicular Applications;2024-09-11
2. Human–Machine Interfaces: A Review for Autonomous Electric Vehicles;IEEE Access;2024
3. Exploring Essential Wireless Technologies for Autonomous Vehicles;2023 IEEE International Workshop on Technologies for Defense and Security (TechDefense);2023-11-20