Cognitive Mechanism and Evaluation Method of Human-Machine Interaction in Intelligent Vehicle Cockpit

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· Scientific Research Publishing, Inc. USA
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The automotive industry is experiencing a significant technological shift, driven by electrification, connectivity, intelligence, sharing, and the trend towards “software-defined cars.” With  this transformation, the traditional car cabin is evolving into a digital, intelligent, and mobile 

smart terminal that prioritizes passenger-centric design and data fusion. The design of in-car 

interaction has become essential in creating engaging, emotional, and humanized user experiences. Future success for traditional car manufacturers lies in developing effective communication methods and context for the intelligent car cabin while addressing relevant issues. 

作者简介

Dr. Zhenwei You, Associate Professor, member of the German Design Council, member of Japan Designers’ Association, member of Design Ergonomics Branch of Chinese Ergonomics Society, member of Beijing Mechanical Engineering Society, is currently the head of the design department in the School of Digital Media and Design Arts of Beijing University of Posts and Telecommunications, and the editor-in-chief of the American journal Art and Design Review.

Ning Ma is doctoral student at Kyiv National University of Technologies and Design, Kyiv, Ukraine, She mainly engages in research on human-computer interaction.

Dr. Yahui Wang is currently an Assistant Professor with Beijing Institute of Technology, Beijing, China. He received the doctoral degree in human factors and industrial design from Northwestern Polytechnical University in 2019. His research focuses on human factors, human-AI interaction, machine behavior, and engineering psychology.

Yali Jiang, head of the user experience team of Hisense Hitachi, is responsible for reshaping the innovative user experience design process of Hisense, paying attention to and observing users, collecting insights and creating innovative products. She has built a visual brand design language to distinguish between TV, mobile phones and smart products, divide the use scenarios of homes and businesses, and enhance Hisense’s user experience design thinking through organizing user experience activities and industry exchanges. 

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