Research on Intelligent Vehicle Cockpit Design Based on Multimodal Human-Computer Interaction Technology

As the automotive industry evolves towards the trend of intelligentisationhas evolved towards intelligentization, internet connectivity and electrification, the intelligent car cockpit is alsohas become the starting point for major manufacturers to compete. However, the current automotive cockpit design in China is based mainly on unimodal voice interactions, with slow interaction efficiency, poor experience and other problems occurring frequently. Based on the main differences between conventional cockpits and intelligent cockpits, this paper proposes that human-computer interaction is the core technology of intelligent cockpits. This article analyses the current development status, theoretical foundation and research significance, discusses the application potential of multimodal human-computer interaction technology in intelligent cockpits, builds an integrated interaction theoretical model of ‘human-vehicle-road’ by combining multimodal human-computer interaction technology, and elaborates the interaction potential of natural interaction modes such as voice, tactile, gesture and smell in intelligent cockpits through a theoretical model. Through this theoretical model, the specific applications of voice, touch, gesture, smell and other natural interaction modes in intelligent cockpit interaction are described, and the advantages of the synergistic development of humans, vehicles and roads are demonstrated via multimodal human–computer interaction technology. It also puts forward corresponding countermeasures to the existing problems. This paper concludes that an appropriate and good all-round human‒computer interaction technology can optimise the human‒computer interaction mode of an intelligent cockpit, thus effectively improving the safety of the intelligent cockpit and the comfort of the user's driving. It aims to promote the development of multimodal human‒computer interaction technology in the field of intelligent cockpits. This study provides a theoretical reference and methodological guidance for the future enhancement of smart cockpit design.