Human-Machine Interface for Intelligent Vehicles: Design Methodology and Cognitive Evaluation - Brossura

Brossura

ISBN 10: 0443236062 ISBN 13: 9780443236068

Casa editrice: Elsevier, 2024

Riassunto

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.

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Informazioni sugli autori

Professor You received her Ph.D degree in Computer software and theory in 2003 from Sun Yat-sen university, and second Master's degree in computer animation and special effects from the Bradford U, UK. She has been a visiting scholar at Kookmin University, South Korea and the University of Bremen, Germany in 2009. Professor You is a Fellow of the Royal Society of Arts, UK. In recent years, she has been project leader for several National Natural Science Foundation projects in China and three international cooperative projects. She has
more than 20 patents in the research field of interactive designand has published more than 60 academic papers and four books.

Professor Wang is Director of Intelligent Car Interaction Design Lab/Intelligent Media Research Center & Metaverse Media Interaction Research Center, Tongji University. Member of the Standing Committee of Human-Computer Interaction Committee of China Computer Society; Deputy Director of Digital Art Committee of China Society of Image and Graphics,CSIG; Founder & Director of the Intelligent Interaction Technology Committee of China.

Fusheng Jia is a PhD candidate at the College of Design and Innovation, Tongji university, China. His research interests include human-computer interaction design and user experience design,and human-computer collaboration in intelligent vehicle.

Huiyan Chen is a researcher at the Shenzhen Research Institute, Sun Yat-sen University, China.. His research areas include intelligent interaction design, automotive interaction design, and digital media design

Qianwen Fu is a PhD candidate at the College of Design and Innovation, Tongji university, China. His research interests include intelligent automotive interaction design and human factors and experience design of intelligent systems.

Dalla quarta di copertina

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. 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.

Dettagli dell?edizione

• Editore: Elsevier
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 0443236062
• ISBN 13: 9780443236068
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 472
• Redattore: Jia, Chen, Fu
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia