Cognitive Mechanism and Evaluation Method of Human-Machine Interaction in Intelligent Vehicle Cockpit
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. 
Sample Chapter(s)
preface (93 KB)
Components of the Book:
  • preface
  • Chapter 1
    Introduction
    • 1.1 Background
    • 1.2 Research Status
    • 1.3 Research Basics and Main Issues
    • 1.4 Research Content and Organizational Structure
  • Chapter 2
    Quantitative Research Methods and System Construction for Human-Computer Interaction Cognition
    • 2.1 Cognitive Load Mechanism of Human-Machine Interaction in Intelligent Vehicle Cockpit
    • 2.2 Intelligent Automotive Cockpit Visual Cognition Model
    • 2.3 Method for Analyzing the Complexity of Human-Machine Interaction Tasks in Intelligent Car Cabins
    • 2.4 Evaluation Metrics and Methods for the Design of Human-Machine Interaction in Intelligent Vehicle Cabins
    • 2.5 Intelligent Automobile Cockpit Human-Machine Interaction Cognition and Evaluation Research System
    • 2.6 Chapter Summary
  • Chapter 3
    Method for Analyzing Human-Machine Interaction Behavior in Intelligent Vehicle Cabin
    • 3.1 Experimental Study on Situation Awareness Mechanism in Intelligent Vehicle Cockpit
    • 3.2 A Complexity Analysis Method for Intelligent Vehicle Cabin Human-Computer Interaction Tasks
    • 3.3 Intelligent Vehicle Cockpit Situational Cognitive Model and Human-Computer Interaction Behavior Analysis Method
    • 3.4 Summary of This Chapter
  • Chapter 4
    The Visual Cognition Mechanism of Intelligent Vehicle Cabin Human-Computer Interaction
    • 4.1 Visual Information Elements of Human-Computer Interaction in Intelligent Vehicle Cabin
    • 4.2 The Mechanism of Visual Cognition of Intelligent Vehicle Cabin layout
    • 4.3 The Visual Cognition Mechanism of the Digital Interface in the Central Control of the Intelligent Vehicle Cabin
    • 4.4 The Summary of This Chapter
  • Chapter 5
    Brain Cognitive Mechanism of Intelligent Vehicle Cabin Human-Computer Interaction Interface
    • 5.1 EEG index and Experimental Paradigm of Human-Computer Interaction Interface Cognition
    • 5.2 The Brain Cognitive Mechanism of Icon Information Density in Central Control Digital Interface
    • 5.3 Central Control Digital Interface Color Brain Cognition Mechanism
    • 5.4 Central Control Digital Interface Layout Brain Cognitive Mechanism
    • 5.5 Chapter Summary
  • Chapter 6
    Intelligent Car Cockpit Human-Computer Interaction Experience Design Evaluation Method
    • 6.1 Human-Computer Interaction Evaluation Method for Intelligent Vehicle Cockpit Layout
    • 6.2 Design and Evaluation Method of Human-Computer Interaction Interface of Central Control of Intelligent Car Cockpit
    • 6.3 Result Discussion and Application Value
    • 6.4 Chapter Summary
  • Chapter 7
    Summary and Prospects
    • 7.1 The Main Research Work and Conclusions of the Book
    • 7.2 Main Innovation Points
    • 7.3 Research Outlook
  • References
Readership: Students, academics, teachers and other people attending or interested in Intelligent Vehicle Cockpit.
1
preface
Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (93 KB)
11
Chapter 1
Introduction

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (2039 KB)
31
Chapter 2
Quantitative Research Methods and System Construction for Human-Computer Interaction Cognition

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (1813 KB)
55
Chapter 3
Method for Analyzing Human-Machine Interaction Behavior in Intelligent Vehicle Cabin

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (2292 KB)
93
Chapter 4
The Visual Cognition Mechanism of Intelligent Vehicle Cabin Human-Computer Interaction

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (2532 KB)
125
Chapter 5
Brain Cognitive Mechanism of Intelligent Vehicle Cabin Human-Computer Interaction Interface

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (3549 KB)
159
Chapter 6
Intelligent Car Cockpit Human-Computer Interaction Experience Design Evaluation Method

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (1768 KB)
181
Chapter 7
Summary and Prospects

Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (159 KB)
187
References
Zhenwei You, Ning Ma, Yahui Wang, Yali Jiang
PDF (177 KB)
Zhenwei You
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
Ning Ma is doctoral student at Kyiv National University of Technologies and Design, Kyiv, Ukraine, She mainly engages in research on human-computer interaction.

Yahui Wang
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
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.

Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top