Human-machine interface for intelligent vehicles : design methodology and cognitive evaluation /

"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...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Jia, Fusheng (Editor), Chen, Huiyan (Editor), Fu, Qianwen (Editor), You, Fang (Editor), Wang, Jianmin (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam : Elsevier, 2024.
Subjects:	Driver assistance systems. Human-computer interaction. Automobiles > Systèmes d'aide à la conduite. Electronic books.
Online Access:	Connect to the full text of this electronic book

Table of Contents:

Front Cover
Human-Machine Interface for Intelligent Vehicles
Copyright Page
Contents
List of contributors
Acknowledgments
1 Intelligent cockpit HMI information perception and understanding
1 Interface color design of intelligent vehicle central consoles
1.1 Introduction
1.2 Experimental design
1.2.1 Preliminary preparations
1.2.2 Simulator settings
1.2.3 Driving scene settings
1.3 Experiment execution
1.4 Experimental results
1.4.1 Data collection
1.4.2 Subjective data
1.4.3 Objective data
1.5 Discussion
Further reading
2 Icon design recommendations for central consoles of intelligent vehicles
2.1 Introduction
2.2 Method
2.2.1 Participants
2.2.2 Experimental environment
2.2.3 Task
2.2.4 Procedure
2.2.5 Questionnaires and data analysis
2.3 Results
2.3.1 Influence of icon size on usability and workload
2.3.2 Impact of icon thickness on usability and workload
2.4 Conclusion and discussion
Further reading
3 Design guidelines for the size and length of Chinese characters displayed in the intelligent vehicle's central console in...
3.1 Introduction
3.2 Related works
3.2.1 Classification of visual signals and human-computer interaction model
3.2.2 Standards and guidelines about size and length of text
3.2.3 Driving cognitive model
3.3 Method
3.3.1 Participants
3.3.2 Experimental environment
3.3.3 Task and stimuli
3.3.4 Procedure
3.3.5 Questionnaires and data analysis
3.4 Results
3.4.1 Reaction time
3.4.2 Visual subjective rating
3.4.3 Usability scores and workload
3.5 Guidelines and discussion
3.6 Limitations
3.7 Conclusions
Further reading
4 The research on basic visual design of the head-up display of an automobile based on driving cognition
4.1 Introduction
4.2 Method.
4.2.1 Experimental environment
4.2.2 Subjects
4.2.3 Test contents and steps
4.3 Results
4.3.1 Influence of weather conditions on reaction time
4.3.2 Influence of age on response time
4.3.3 Trends of workload
4.4 Discussion
Further reading
5 A novel cooperation-guided warning system utilizing augmented reality head-up display to enhance driver's perception of i...
5.1 Introduction
5.2 Context and theoretical framework
5.2.1 Human-vehicle teaming and cooperative interface
5.2.2 Situational awareness in cooperative driving
5.2.3 Cognitive information design
5.2.4 Automation surprises and trust
5.3 Designing HMI
5.3.1 HMI for Case 1
5.3.2 HMI for Case 2
5.4 Method and materials
5.4.1 Case Study 1
5.4.1.1 Objectives and hypotheses
5.4.1.2 Participants
5.4.1.3 Experimental equipment and materials
5.4.1.4 Experimental variables
5.4.1.5 Procedure
5.4.2 Case study 2
5.4.2.1 Objectives and hypotheses
5.4.2.2 Participants
5.4.2.3 Experimental equipment and materials
5.4.2.4 Experimental variables
5.4.2.5 Procedure
5.5 Results and analysis
5.5.1 Results of Case 1
5.5.1.1 Situational awareness
5.5.1.2 Usability
5.5.1.3 Workload
5.5.1.4 Reaction time
5.5.2 Results of Case 2
5.5.2.1 Reaction time
5.5.2.2 Situational awareness
5.5.2.3 Trust
5.5.2.4 Usability
5.6 Discussion
5.6.1 Case 1
5.6.2 Case 2
5.6.3 Limitations
5.7 Conclusion
References
2 Intelligent cockpit HMI information decision and control
6 Acting like a human: teaching an autonomous vehicle to deal with traffic encounters
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.
7 Research on transparency design based on shared situation awareness in semiautomatic driving
7.1 Introduction
7.2 Related works
7.2.1 Shared situation representation
7.2.2 Situation awareness
7.2.3 Lyons's task model of transparency
7.2.4 Relationship between transparency, performance, and trust
7.2.5 Human-machine interface requirements of system transparency
7.2.6 Handovers in automated driving
7.3 Study
7.3.1 Scenario
7.3.2 Framework
7.3.3 Transparency design
7.4 Experiment
7.4.1 Participants
7.4.2 Prototype
7.4.3 Procedure
7.4.4 Apparatus and simulated environment
7.4.5 Materials
7.4.5.1 After-scenario questionnaire
7.4.5.2 NASA-TLX
7.4.5.3 Situation awareness global assessment technique
7.5 Results
7.5.1 Transparency
7.5.2 Situation awareness
7.5.3 Usability
7.5.4 Workload
7.6 Discussion
7.7 Conclusions
Reference
Further reading
8 Human-machine interface design based on transparency in autonomous driving scenes
8.1 Introduction
8.2 Theoretical basis
8.2.1 Situational awareness and transparency
8.2.2 Trust
8.2.3 Human-machine interface design case study
8.3 Human-machine interface design
8.3.1 Scenario analysis
8.3.2 Interface element design
8.4 Experimental evaluation
8.4.1 Participants
8.4.2 Experimental environment
8.4.3 Experimental process
8.5 Analysis of experimental results
8.5.1 Scale data
8.5.1.1 Trust
8.5.1.2 Workload
8.5.2 Correlation analysis
8.5.2.1 Trust and situational awareness
8.5.2.2 Trust and workload
8.5.3 Interview data
8.5.4 Experimental conclusions
8.6 Conclusion
References
Further reading
9 Drivers' trust of the human-machine interface of an adaptive cruise control system
9.1 Introduction
9.2 Research question
9.3 Method
9.3.1 Participants.
9.3.2 Experimental design
9.3.3 Experimental procedure
9.4 Results
9.5 Limitations
9.6 Conclusion and discussion
Further reading
10 Take-over requests analysis in conditional automated driving
10.1 Introduction
10.2 Background
10.3 Highway hazard scenario analysis
10.3.1 Scenario analysis
10.3.2 Lane changing visual scanning analysis
10.3.3 Decision-making phase vision scanning analysis
10.3.4 Execution phase vision scanning analysis
10.3.5 Adjustment phase vision scanning analysis
10.4 Application and evaluation
10.4.1 Evaluation procedure
10.4.2 Results
10.5 Discussion and conclusion
References
Further reading
3 Research on intelligent cockpit HMI design under automated driving scenarios
11 Interactive framework of a cooperative interface for collaborative driving
11.1 Introduction
11.2 Framework of cooperative interface
11.2.1 Human autonomy team
11.2.1.1 Team
11.2.1.2 Cooperative interface
11.2.1.3 Cognitive information
11.2.1.3.1 Intention
11.2.1.3.2 Situation awareness
11.2.1.3.3 Decision
11.2.1.4 Information transparency
11.2.1.5 Interactive mode
11.2.2 Level of interaction
11.2.3 Dynamic external factors
11.2.3.1 Environment
11.2.3.2 Vehicle
11.2.3.3 Traffic conditions
11.3 Conclusion
References
Further reading
12 Design methodologies for human-artificial systems: an automotive augmented reality headup display design case study
12.1 Introduction
12.2 Related works
12.3 Interaction design method framework
12.3.1 Six-phase model of interaction design method framework
12.3.2 Three perspectives of interaction design method framework
12.4 Automotive augmented reality head-up display design case study
12.4.1 Project description
12.4.2 Project implementation process.
12.4.2.1 Phase 1: market research and design research
12.4.2.2 Phase 2: user research
12.4.2.3 Phase 3: business model and concept design
12.4.2.4 Phase 4: information architecture and design implementation
12.4.2.5 Phase 5: design evaluation and user testing
12.4.2.6 Phase 6: system development and operation tracking
12.5 Conclusion
References
13 Design factors of shared situation awareness interface in human-machine co-driving
13.1 Introduction
13.2 Related works
13.2.1 Situation awareness
13.2.2 Shared situation awareness
13.2.3 Interface designs of human-machine co-driving
13.3 Design methods
13.3.1 Abstraction hierarchy analysis
13.3.2 Abstraction hierarchy analysis of shared situation awareness human-machine interaction interfaces
13.3.3 Four factors of shared situation awareness interface
13.4 Simulation experiment
13.4.1 Experimental subjects
13.4.2 Experimental design
13.4.3 Selection of experimental scenarios and requirement analysis of shared situation awareness information
13.4.4 Experimental environment
13.4.5 Experimental process
13.4.6 Experimental evaluation method
13.4.6.1 Situation awareness global assessment technique
13.4.6.2 After-scenario questionnaire
13.4.6.3 Task response time and task accuracy
13.4.6.4 Quick interview
13.5 Results
13.5.1 Eye movement
13.5.2 Situation awareness
13.5.3 Usability
13.5.4 Task response time and task accuracy
13.5.5 Interview
13.6 Discussion
13.7 Conclusions
References
Further reading
14 Automotive head-up display interaction design based on a lane-changing scenario
14.1 Introduction
14.2 Background
14.3 Research on lane-changing scenario
14.3.1 Preliminary investigations
14.3.2 Study on environment, behavior, and psychology
14.3.3 Observation.