Human-Machine Interface for Intelligent Vehicles

Design Methodology and Cognitive Evaluation

1st Edition - August 20, 2024
Imprint: Elsevier
Editors: Fang You, Fusheng Jia, Jianmin Wang, Huiyan Chen, Qianwen Fu
Language: English
Paperback ISBN:
9 7 8 - 0 - 4 4 3 - 2 3 6 0 6 - 8
eBook ISBN:
9 7 8 - 0 - 4 4 3 - 2 3 6 0 5 - 1

Human-Machine Interface for Intelligent Vehicles: Design Methodology and Cognitive Evaluation examines the fields of designing and developing intelligent design and intellige… Read more

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

Cover image
Title page
Table of Contents
Copyright
List of contributors
Acknowledgments
Part 1: Intelligent cockpit HMI information perception and understanding
Chapter 1. Interface color design of intelligent vehicle central consoles
Abstract
Chapter Outline
1.1 Introduction
1.2 Experimental design
1.3 Experiment execution
1.4 Experimental results
1.5 Discussion
Further reading
Chapter 2. Icon design recommendations for central consoles of intelligent vehicles
Abstract
Chapter Outline
2.1 Introduction
2.2 Method
2.3 Results
2.4 Conclusion and discussion
Further reading
Chapter 3. Design guidelines for the size and length of Chinese characters displayed in the intelligent vehicle’s central console interface
Abstract
Chapter Outline
3.1 Introduction
3.2 Related works
3.3 Method
3.4 Results
3.5 Guidelines and discussion
3.6 Limitations
3.7 Conclusions
Further reading
Chapter 4. The research on basic visual design of the head-up display of an automobile based on driving cognition
Abstract
Chapter Outline
4.1 Introduction
4.2 Method
4.3 Results
4.4 Discussion
Further reading
Chapter 5. A novel cooperation-guided warning system utilizing augmented reality head-up display to enhance driver’s perception of invisible dangers
Abstract
Chapter Outline
5.1 Introduction
5.2 Context and theoretical framework
5.3 Designing HMI
5.4 Method and materials
5.5 Results and analysis
5.6 Discussion
5.7 Conclusion
References
Part 2: Intelligent cockpit HMI information decision and control
Chapter 6. Acting like a human: teaching an autonomous vehicle to deal with traffic encounters
Abstract
Chapter Outline
6.1 Introduction
6.2 Socially incapable autonomous vehicles
6.3 Method
6.4 Results and analysis
6.5 Discussion
6.6 Conclusion
Further reading
Chapter 7. Research on transparency design based on shared situation awareness in semiautomatic driving
Abstract
Chapter Outline
7.1 Introduction
7.2 Related works
7.3 Study
7.4 Experiment
7.5 Results
7.6 Discussion
7.7 Conclusions
Reference
Further reading
Chapter 8. Human-machine interface design based on transparency in autonomous driving scenes
Abstract
Chapter Outline
8.1 Introduction
8.2 Theoretical basis
8.3 Human-machine interface design
8.4 Experimental evaluation
8.5 Analysis of experimental results
8.6 Conclusion
References
Further reading
Chapter 9. Drivers’ trust of the human-machine interface of an adaptive cruise control system
Abstract
Chapter Outline
9.1 Introduction
9.2 Research question
9.3 Method
9.4 Results
9.5 Limitations
9.6 Conclusion and discussion
Further reading
Chapter 10. Take-over requests analysis in conditional automated driving
Abstract
Chapter Outline
10.1 Introduction
10.2 Background
10.3 Highway hazard scenario analysis
10.4 Application and evaluation
10.5 Discussion and conclusion
References
Further reading
Part 3: Research on intelligent cockpit HMI design under automated driving scenarios
Chapter 11. Interactive framework of a cooperative interface for collaborative driving
Abstract
Chapter Outline
11.1 Introduction
11.2 Framework of cooperative interface
11.3 Conclusion
References
Further reading
Chapter 12. Design methodologies for human-artificial systems: an automotive augmented reality headup display design case study
Abstract
Chapter Outline
12.1 Introduction
12.2 Related works
12.3 Interaction design method framework
12.4 Automotive augmented reality head-up display design case study
12.5 Conclusion
References
Chapter 13. Design factors of shared situation awareness interface in human-machine co-driving
Abstract
Chapter Outline
13.1 Introduction
13.2 Related works
13.3 Design methods
13.4 Simulation experiment
13.5 Results
13.6 Discussion
13.7 Conclusions
References
Further reading
Chapter 14. Automotive head-up display interaction design based on a lane-changing scenario
Abstract
Chapter Outline
14.1 Introduction
14.2 Background
14.3 Research on lane-changing scenario
14.4 Automotive head-up display interaction design
14.5 Conclusion
Further reading
Chapter 15. Human-computer collaborative interaction design of intelligent vehicles—a case study of HMI of adaptive cruise control
Abstract
Chapter Outline
15.1 Introduction
15.2 Related work
15.3 Human-engaged automated driving framework
15.4 Case
15.5 Interface experiment
15.6 Conclusions
References
Further reading
Part 4: Research on interaction design of on-board robots
Chapter 16. Research hotspots and trends of social robot interaction design: a bibliometric analysis
Abstract
Chapter Outline
16.1 Introduction
16.2 Research design
16.3 Bibliometric results and analysis
16.4 Discussion
16.5 Conclusions
References
Further reading
Chapter 17. Experimental study on abstract expression of human-robot emotional communication
Abstract
Chapter Outline
17.1 Introduction
17.2 Literature review
17.3 Emotion expression design of virtual image
17.4 Evaluation of facial expression design of virtual image
17.5 Method
17.6 Conclusions
References
Further reading
Chapter 18. Self-assessment emotion tool: nonverbal measurement tool of user’s emotional experience
Abstract
Chapter Outline
18.1 Introduction
18.2 Related works
18.3 Design of self-assessment emotion tool
18.4 Validation of self-assessment emotion tool images
18.5 Conclusions and discussion
References
Further reading
Chapter 19. Robot transparency and anthropomorphic attribute effects on human-robot interactions
Abstract
Chapter Outline
19.1 Introduction
19.2 Robot-to-human communication
19.3 Human-robot interaction outcomes
19.4 Methods
19.5 Results
19.6 Discussion
19.7 Conclusions and future directions
References
Further reading
Chapter 20. Design of proactive interaction of in-vehicle robots based transparency
Abstract
Chapter Outline
20.1 Introduction
20.2 Related works
20.3 Transparency design of proactive interaction
20.4 Experiment
20.5 Results
20.6 Discussion
20.7 Conclusions
References
Further reading
Part 5: Automated vehicles' external human interfaces design and evaluation
Chapter 21. Interaction design for environment information surrounding vehicles in parking scenarios
Abstract
Chapter Outline
21.1 Introduction and research methodology
21.2 Design space of environment information surrounding vehicles
21.3 User research of environment information demand in parking scenarios
21.4 Design practice of environment information surrounding vehicles in parking scenarios
21.5 Usability test of design
21.6 Results and recommendations
Further reading
Chapter 22. Unmanned vehicle external interaction design based on an automation acceptance model
Abstract
Chapter Outline
22.1 Introduction
22.2 Automation acceptance model
22.3 Scenario-based pedestrian behavior research
22.4 Vehicle diplomacy mutual strategy based on automation acceptance model
22.5 Design test evaluation
22.6 Conclusion
Reference
Further reading
Chapter 23. Designing communication strategies of autonomous vehicles with pedestrians: an intercultural study
Abstract
Chapter Outline
23.1 Introduction
23.2 Related works
23.3 Method
23.4 Results
23.5 Discussion
23.6 Conclusion
Further reading
Part 6: Intelligent cockpit HMI evaluation
Chapter 24. Augmented reality cognitive interface in enhancing human vehicle collaborative driving safety: a design perspective
Abstract
Chapter Outline
24.1 Introduction
24.2 Context and theoretical framework
24.3 Design method for augmented reality human-machine interface
24.4 Empirical evaluation
24.5 Results
24.6 Discussion
24.7 Conclusions
References
Chapter 25. Behavioral indicators affecting driving performance in human-machine interface assessments with simulation
Abstract
Chapter Outline
25.1 Introduction
25.2 Method
25.3 Result
25.4 Discussion
25.5 Conclusion
Further reading
Chapter 26. Electrodermal activity measurement in a driving simulator
Abstract
Chapter Outline
26.1 Introduction
26.2 Applications and advantages of electrodermal activity measurement
26.3 Teaching objectives and method exploration
26.4 Course experiment methods
26.5 Analysis and discussion of experimental results
26.6 Conclusion
References
Further reading
Chapter 27. Using eye-tracking to help design HUD-based safety indicators for lane changes
Abstract
Chapter Outline
27.1 Introduction and related works
27.2 Methods
27.3 Results
27.4 Discussion
27.5 Lessons learned
Further reading
Chapter 28. The situation awareness and usability research of different HUD HMI designs in driving while using adaptive cruise control
Abstract
Chapter Outline
28.1 Introduction
28.2 Research propositions
28.3 Experimental method
28.4 Results and preliminary findings
28.5 Discussion
28.6 Limitations
28.7 Conclusion
References
Further reading
Index

Fang You

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.

Affiliations and expertise

Tongji University, Shanghai, China Director, International Office, Tongji University Shanghai, China

Fusheng Jia

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.

Jianmin Wang

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.

Affiliations and expertise

Director of Intelligent Car Interaction Design Lab/Intelligent Media Research Center & Metaverse Media Interaction Research, School of Electronic and Information Engineering, Tongji University, China

Huiyan Chen

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

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.

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health