Clustering Analysis of Research Direction for Intelligent Cockpit Ergonomics based on Knowledge Mapping

Abstract

Intelligent cabins have become a hot topic in the development of automated vehicles, with a focus on multimodal human-computer interaction. Using knowledge mapping, this paper investigates international literature regarding intelligent cockpits (IC) over the past 22 years. The research characteristics are analyzed through cluster analysis, based on which the future development directions are provided. Since 2019, there has been a significant increase in global publication volume. Researchers have extensively researched new functions and technologies such as gesture interaction, virtual environment, human-machine interface, external human machine interface, and human-machine interaction, with some technologies already being applied in practice. The extension of intelligent cockpit-related concepts has further developed technologies such as electronic skin, health detection, speech emotion recognition, and electromyography control. In the future, nanomaterials with excellent properties will be further integrated and applied in intelligent cabins to adapt to their highly integrated functional module group. Fields such as biology, mathematics and systems science, ophthalmology and neuroscience, physics, and chemistry are involved in the development of IC. The main development features of IC are multimodal interaction, virtual-real combined display, virtual agents, and emotional interaction. Overall, the safety, comfort, and convenience of passengers have always been the prime goals of the research on IC.

Keywords: Intelligent Cockpit, Ergonomics, Knowledge Mapping, Automated Vehicles, Human-machine interface

DOI: 10.54941/ahfe1005222