HCI in Mobility, Transport, and Automotive Systems (Lecture Notes in Computer Science)

Foreword
HCI International 2023 Thematic Areas and Affiliated Conferences
List of Conference Proceedings Volumes Appearing Before the Conference
Preface
5th International Conference on HCI in Mobility, Transport and Automotive Systems (MobiTAS 2023)
HCI International 2024 Conference
Contents – Part II
Contents – Part I
Driver Behavior and Performance
FIGCONs: Exploiting FIne-Grained CONstructs of Facial Expressions for Efficient and Accurate Estimation of In-Vehicle Drivers\' Statistics
	1 Introduction
	2 Background and Motivation
	3 Methodology
		3.1 FIne-Grained CONstructs of Facial Expressions
		3.2 Integrating FIGCON Method with Face2Statistics
	4 Experimental Methodology
		4.1 Implementation Details
		4.2 Dataset
		4.3 Evaluation Metrics
	5 Experimental Results
		5.1 Performance Analysis
		5.2 Throughput and Latency Analysis
	6 Discussion and Future Work
	7 Conclusions
	References
Using Eye Tracking to Guide Driver’s Attention on Augmented Reality Windshield Display
	1 Introduction
	2 Attention Guidance System Design
	3 Experiment
		3.1 Study Design
		3.2 Experimental Setup and Procedure
	4 Results
		4.1 Gaze Data Processing
		4.2 Detection Time
		4.3 Analysis of NDRT Questions
	5 Discussion
	6 Conclusion and Future Work
	References
The Effect of Implicit Cues in Lane Change Situations on Driving Discomfort
	1 Theoretical Background
	2 Methodology
		2.1 Design and Apparatus
	3 Results
	4 Conclusion and Outlook
	References
Design Study on the Effect of Intelligent Vehicles Interaction Mode on Drivers’ Cognitive Load
	1 Intelligent Vehicle and Interaction Design Research
		1.1 A Brief Description of Intelligent Vehicle Interaction
		1.2 A Brief Description of Intelligent Vehicle Interaction
	2 Interaction Design and Cognitive Load Research Framework
		2.1 Multiple-Resource Theory and Cognitive Load
		2.2 Analysis of Vehicle HMI Based on Multiple-Resource Theory Model
	3 Method
	4 Result
		4.1 Analysis and Evaluation of Physical Stuff Interaction Mode
		4.2 Evaluation and Analysis of Touch-Screen Interaction Mode
		4.3 Evaluation and Analysis of Voice Interaction Mode
		4.4 Evaluation and Analysis of System-Initiative Interaction Mode
		4.5 Evaluation and Analysis of Multi-modal Interaction
	5 Intelligent Vehicle HMI Design Based on the Analysis Result
		5.1 Summary and Design Solutions
		5.2 Solution Validation and Discussion
	6 Discussion
	References
Consistency Analysis of Driving Style Classification Based on Subjective Evaluation and Objective Driving Behavior
	1 Introduction
	2 Method
		2.1 Scenario Design
		2.2 Apparatus
		2.3 Data Collection
		2.4 Procedure
		2.5 Participants
		2.6 Data Processing
	3 Result
		3.1 MDSI-C Scale
		3.2 Driving Behavior Data
	4 Discussion
	5 Conclusion
	References
Do Drivers Vary in Preferences for Automated Driving Styles Across Different Scenarios? Evidence from a Simulation Experiment
	1 Introduction
	2 Literature Review
		2.1 Driving Style Evaluation
		2.2 Automated Driving Style and Human Acceptance
	3 Method
		3.1 Participants
		3.2 Apparatus and Vehicle Automation
		3.3 Experimental Design
		3.4 Procedure
	4 Results
		4.1 Automated Driving Style Preferences Under Different Scenarios
		4.2 Automated Driving Style Preferences and Different Manual Driving Styles
		4.3 Automated Driving Style Preferences for All Drivers
		4.4 Post- Experimental Trust of AVs
		4.5 Post-Experimental Acceptance of AVs
	5 Discussion
		5.1 Driver’s Preferences of Automated Driving Style
		5.2 Post-experimental Trust and Acceptance
	6 Conclusion
	References
Research on the Influence of Vehicle Head-Up Display Warning Design on Driver Experience with Different Driving Styles
	1 Introduction
		1.1 Driving Transparency
		1.2 Related Research on HUD
	2 Method
		2.1 Experimental Apparatus
		2.2 Experimental Participants
		2.3 Experimental Design
		2.4 Experimental Process
	3 Results
		3.1 Participants’ Driving Style
		3.2 Mood Questionnaire
		3.3 Interview
	4 Discussions
	5 Conclusions and Prospects
		5.1 Conclusion
		5.2 Limitation and Future Work
	References
Designing Driver and Passenger User Experience
Objective Metrics for Assessing Visual Complexity of Vehicle Dashboards: A Machine-Learning Based Study
	1 Introduction
		1.1 Study Background
		1.2 The Present Study
	2 Methods
		2.1 Study 1: PVC Rating
		2.2 Study 2: OVC Rating
		2.3 Data Analysis
	3 Results
	4 Discussion
	References
A Systematic Analysis for Multisensory Virtual Artifacts Design in Immersive E-Sport Applications and Sim-Racing
	1 Introduction
	2 Methodology
	3 Discussion
	4 Conclusions
	References
Digitalization and Virtual Assistive Systems in Tourist Mobility: Evolution, an Experience (with Observed Mistakes), Appropriate Orientations and Recommendations
	1 Introduction
	2 State-of-the-Art
		2.1 Digitalization of Tourist Activities
		2.2 Digitalization Principles
		2.3 User Experience (UX)
	3 Long-Term Case Study
		3.1 Trip Preparation
		3.2 Flight Finalization
		3.3 Car Rental Experience
		3.4 Hotel Reservation Management
		3.5 Bank Role
		3.6 Insurance Company Participation
		3.7 In-site Access Tools and Assistance
		3.8 Chatbot Solicitation
		3.9 Human Implication
		3.10 Generalization to Other Fields
		3.11 Non-observed Services and Situations
	4 Assistive System Structures
	5 Identified Improvements to Be Considered
	6 Conclusion
	References
An Experimentation to Measure the Influence of Music on Emotions
	1 Introduction
	2 Emotion Recognition Algorithm
	3 Audio Enhancement Algorithms
	4 Experimental Procedure
	5 Experimental Results
		5.1 ``In-lab\'\' Measurements
		5.2 Comparison with ``Yacht\" Measurements
	6 Conclusions
	References
Research on Interactive Interface Design of Vehicle Warning Information Based on Context Awareness
	1 Introduction
	2 Situational Awareness and Situational Cognition
		2.1 Situational Awareness Theory
		2.2 Situational Cognition Theory
		2.3 Human-Car-Environment Relationship in Driving Context
	3 Related Research on Vehicle Warning Information
		3.1 Categories of Person-Vehicle Interaction Information
		3.2 Priority of Human-Vehicle Interaction Information
	4 Interactive Design of Automobile Warning Information
		4.1 User Research and In-depth Interview on Human-Vehicle Interaction Information
		4.2 Demand Analysis of Human-Vehicle Interactive Warning Information
		4.3 Active Responsive Interaction Design Framework
		4.4 Interactive Prototype Design and Implementation of Warning Information
	5 Design Test Evaluation
	6 Conclusion
	References
MOSI APP - A Motion Cueing Application to Mitigate Car Sickness While Performing Non-driving Task
	1 Introduction
	2 MOSI APP Design
	3 Experimental Setup
		3.1 Participants
		3.2 Apparatus and Stimuli Profile
		3.3 Non-driving Task
		3.4 Procedure
	4 Results
		4.1 Motion Sickness Level
		4.2 NDT Performance
		4.3 Subjective Questionnaire
	5 Discussion
		5.1 Overall Evaluations
		5.2 Limitations and Possible Improvements
	6 Conclusion
	References
BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs
	1 Introduction
	2 Background and Motivation
		2.1 Data-Driven Techniques for Human-Vehicle Interaction
		2.2 Existing Datasets for Human-Vehicle Interaction
		2.3 Detailed Comparisons Among Existing Datasets and BROOK Dataset
	3 BROOK Dataset
		3.1 An Overview of BROOK Dataset
		3.2 Hardware and Software Supports
		3.3 Key Features only in BROOK
		3.4 Data Collection Procedure
	4 Example Studies of BROOK Dataset
		4.1 Case 1: Applying Self-clustering Methods for Adaptive Driving Style Characterizations
		4.2 Case 2: Differential Privacy for the Internet-of-Vehicles
	5 Conclusions
	References
Research on Chinese Font Size of Automobile Central Control Interface Driving
	1 Introduction
	2 Research Status of Chinese Font Size in Central Touchscreen
	3 Construction of Interface Chinese Font Size Evaluation System
		3.1 Selection of Evaluation Indicator
		3.2 Experimental Equipment and Environment
		3.3 Screening of Subjects
		3.4 Experimental Prototype of Center Control Screen
		3.5 Overall Process Design
	4 Experimental Results and Data Analysis
		4.1 Data Processing and Correlation
		4.2 Font Size and Subjective Score
		4.3 Font Size and Objective Data
	5 Experimental Application
	6 Conclusion
	References
Cueing Car Drivers with Ultrasound Skin Stimulation
	1 Introduction
	2 Related Work
	3 Study 1: Spatial Interaction
		3.1 Interaction Design and Implementation
		3.2 Methods
		3.3 Data Analysis and Results
		3.4 Discussion
	4 Study 2: Proactive Interaction
		4.1 Interaction Design Reconsidered
		4.2 Methods
		4.3 Results
	5 Discussion
	6 Conclusions
	References
Direct or Indirect: A Video Experiment for In-vehicle Alert Systems
	1 Introduction
	2 Background
		2.1 Vehicle-to-Everything (V2X)
		2.2 Anthropomorphic Interface
		2.3 Traffic Accident Alerts
	3 Warning Systems, Research Question, and Hypotheses
		3.1 See Through Obstacles
		3.2 Virtual Horse
		3.3 Research Question and Hypotheses
	4 User Study
		4.1 Tasks and Conditions
		4.2 Experimental Setup
	5 Results
		5.1 User Preference
		5.2 Actual Performance
	6 Limitation and Future Work
	7 Conclusion
	References
Accessibility and Inclusive Mobility
Understanding Driving Behaviour in Individuals with Mild Cognitive Impairments: A Naturalistic Study
	1 First Section
	2 Literature Review
		2.1 Driving Behaviour and Cognitive Impairments
		2.2 Telematics to Assess Driving Behaviour
	3 Methodology
		3.1 Ethics
		3.2 Participants
		3.3 Equipment
		3.4 Procedure
	4 Results
		4.1 Descriptive statistics and Data Pre-processing
		4.2 Correlation Analysis
		4.3 Predictive Modelling
	5 Conclusions and Future Work
	References
Independent Τravel and People with Intellectual Disabilities: Viewpoints of Support Staff About Travel Patterns, Skills and Use of Technological Solutions
	1 Introduction
	2 Method
		2.1 Participants
		2.2 Material
	3 Results
		3.1 General Information About Travel Patterns
		3.2 Skills Related to Independent Travel
		3.3 The Use of a Technological Aid Dedicated to Navigation in People with ID and Professionals
	4 Discussion
	5 Conclusion
	References
Pedestrian Mobility Contexts of People with Intellectual Disabilities: The Role of Personalization
	1 Introduction
	2 State of the Art
		2.1 Wayfinding for ID
		2.2 NAS for ID People
	3 Proposal: Architecture Focused on Two Navigational Contexts
	4 Context of Known Route
		4.1 Context Analysis
		4.2 Proposition of Design for the Known Route Context
	5 Context of Unknown Route
		5.1 Context Analysis
		5.2 Proposition of Design for the Unknown Route Context
	6 Conclusion
	References
The SOLID Model of Accessibility and Its Use by the Public Transport Operators
	1 Introduction
	2 The SOLID Model
		2.1 Travel Purpose
		2.2 Travel Zones
		2.3 User Needs: Safety, Orientation, Localization, Information and Displacements
		2.4 Information Nature
	3 The SOLID Model, a Tool for Implementation of Accessibility in Public Transports
		3.1 Grammar and Lexicon of Traveller Information
		3.2 Personalized Route Calculation
	4 Conclusion and Future Directions
	References
Correction to: Research on Interactive Interface Design of Vehicle Warning Information Based on Context Awareness
	Correction to: Chapter 12 in: H. Krömker (Ed.): HCI in Mobility, Transport, and Automotive Systems, LNCS 14049, https://doi.org/10.1007/978-3-031-35908-8_12
Author Index