SAME: The Design Space for Seamless Automotive Multimodal Experience

Wei Wang, Fangli Song, Taiping Zhu · IT Professional · 2022

Multimodal user interfaces for automotive applications, such as voice, gesture, and head-up displays, have significantly enriched the user experience. From a brief literature review, we discuss the concept of seamlessness in autonomous vehicles, and propose a new design space of multimodal user interfaces within the upgrade of driving automated systems and human multitasking across devices. We present a case study illustrating the use of our model in the automotive industry.

Read the paper · More papers on PaperTik