Human-Machine Systems Design and Evaluation Methodology for Intelligent Vehicles examines the fields of designing and developing intelligent design and intelligent vehicle driving evaluation by using virtual reality, augmented reality, and other technologies. The book explains the methodologies and systems of interactive design, user evaluation and testing using virtual reality technology and augmented reality technology in intelligent cockpit design. With the rising prominence of electric vehicles and automatic driving (assisted) technology, intelligent vehicles are becoming a reality. Compared to traditional interactive design, artificial intelligence provides new opportunities and challenges for the interactive design of intelligent cockpit space, especially under the condition of intelligent assisted driving, the driver’s behavior performance, multimodal interactive display interface design and evaluation. – Focuses on the interactive design methods of intelligent vehicles, as well as forward-looking design and testing methods of intelligent vehicle design- Emphasizes that interactive design should be carried out using the relevant elements of intelligent system in the design of intelligent cars: starting from the interactive characteristics of intelligence itself- Starts from AI interactive design and combines the field of cognitive science to develop the methods and technologies of vehicle borne equipment and collaborative human-computer interaction design- Includes design cases from the intelligent car interaction design laboratory of Tongji University and related scientific research projects in China.
Huiyan Chen & Qianwen Fu
Human-Machine Interface for Intelligent Vehicles [EPUB ebook]
Design Methodology and Cognitive Evaluation
Human-Machine Interface for Intelligent Vehicles [EPUB ebook]
Design Methodology and Cognitive Evaluation
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Bahasa Inggeris ● Format EPUB ● ISBN 9780443236051 ● Penyunting Huiyan Chen & Qianwen Fu ● Penerbit Elsevier Science ● Diterbitkan 2024 ● Muat turun 3 kali ● Mata wang EUR ● ID 9622604 ● Salin perlindungan Adobe DRM
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