HCI in Mobility, Transport, and Automotive Systems : 6th International Conference, MobiTAS 2024, Held As Part of the 26th HCI International Conference, HCII 2024, Washington, DC, USA, June 29-July 4, 2024, Proceedings, Part I
Lecture Notes in Computer Science Series ; ; v.14732
Lingua di pubblicazione
Inglese
Formato
Materiale a stampa
Livello bibliografico
Monografia
Nota di contenuto
Intro -- Foreword -- HCI International 2024 Thematic Areas and Affiliated Conferences -- List of Conference Proceedings Volumes Appearing Before the Conference -- Preface -- 6th International Conference on HCI in Mobility, Transport and Automotive Systems (MobiTAS 2024) -- HCI International 2025 Conference -- Contents - Part I -- Contents - Part II -- Driver Behavior and Safety -- Activities that Correlate with Motion Sickness in Driving Cars - An International Online Survey -- 1 Introduction -- 1.1 Motion Sickness is a Common Problem in Driving Cars -- 1.2 Motion Sickness is a Problem for Automated Driving -- 1.3 Motion Sickness Correlates with Non-driving Related Activities -- 1.4 Activity Detection Can Be Used to Assist Non-driving Passengers -- 1.5 Occupant Monitoring Systems Detect Activities -- 1.6 Which Activities Correlate with Motion Sickness? -- 2 Method -- 3 Results -- 4 Interpretation -- 5 Discussion and Limitations -- 6 Conclusion -- References -- Drowsiness and Emotion Detection of Drivers for Improved Road Safety -- 1 Introduction -- 2 Background -- 3 Methodology -- 3.1 CNN Architecture -- 3.2 Dataset -- 3.3 Real World Implementation -- 4 Result -- 4.1 Yawn_eye_dataset_new Dataset -- 4.2 Nitymed Dataset -- 4.3 FER2013 Dataset -- 4.4 Drivers' Survey Data -- 5 Discussion --
6 Conclusion -- References -- Improving Time to Take Over Through HMI Strategies Nudging a Safe Driving State -- 1 Introduction -- 2 The Next Perception DMS-Enabled HMI Strategies and the TOR Design -- 2.1 NextPerception HMI Strategies -- 2.2 NextPerception Take-Over Request design -- 3 Methodology -- 3.1 Procedure -- 3.2 Entry Questionnaire -- 3.3 Exit Questionnaire -- 3.4 Hypotheses and Data Analysis -- 4 Results -- 5 Discussion -- 6 Conclusion and Future Work -- References.
Impacts of Training Methods and Experience Types on Drivers' Mental Models and Driving Performance -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Scenarios -- 2.3 Training -- 2.4 Apparatus -- 2.5 Questionnaires -- 2.6 Experimental Procedure -- 2.7 Dependent Variables -- 3 Results -- 3.1 Questionnaire Data Analysis -- 3.2 Driving Data Analysis -- 4 Discussion -- 4.1 Questionnaire Data -- 4.2 Driving Data -- 4.3 Limitations -- 5 Conclusion -- References -- Applying Theory of Planned Behavior to Explore the Safety Effects of Yellow Alert on Changeable Message Signs: Elicitation Interview Results -- 1 Background -- 2 Related Work and Research Questions -- 3 Methodology of the Elicitation Interview -- 3.1 Theory of Planned Behavior (TPB) Model -- 3.2 Yellow Alert on CMS -- 3.3 Interview Guide -- 3.4 Procedure -- 3.5 Sampling -- 4 Data Analysis -- 4.1 Indexing of the Transcripts -- 5 Results -- 5.1 Understandability of the Yellow Alert Message -- 5.2 Potential Responses -- 5.3 Behavioral Beliefs -- 5.4 Normative Beliefs and Referents -- 5.5 Control Beliefs -- 5.6 Past Behavior with AMBER Alert -- 6 Discussion and Conclusions -- References -- Comparative Study on the Effects of W-HUD and AR-HUD on Driver Behavior Based on Cognitive Load Theory -- 1 Introduction -- 2 Methodology -- 2.1 Materials -- 2.2 Subjects -- 2.3 Experimental Equipment and Experimental Procedures -- 3 Results -- 3.1 Reaction Time -- 3.2 Reaction Accuracy -- 3.3 NASA-TLX Scale -- 4 Discussion -- 5 Conclusions -- References -- DriveSense: A Multi-modal Emotion Recognition and Regulation System for a Car Driver -- 1 Introduction -- 2 The DriveSense Framework -- 2.1 System Overview -- 2.2 Emotion Recognition Model -- 3 Evaluation of Emotion Recognition Model -- 3.1 Experiment Environment and Data Set -- 3.2 Evaluation Metrics -- 3.3 Analysis of Experimental Results.
4 Evaluation of an Adaptive Music-Based Emotion Regulation Strategy -- 4.1 Participants -- 4.2 Experiment Design -- 4.3 Analysis of Experiment Results -- 5 Conclusion -- References -- Human Factors in Automated Vehicles -- A Two-Loop Coupled Interaction System Design for Autonomous Driving Scenarios -- 1 Introduction -- 1.1 Development of Automobile Automatic Driving Technology -- 1.2 Development of Automobile Automatic Driving Technology -- 1.3 Needs -- 2 Related Research -- 2.1 Automotive Interaction System Design Methodology -- 2.2 Research on Automotive Interaction Effects -- 3 Materials and Methods -- 3.1 Designer Interviews -- 3.2 The Concept of Interaction Sets -- 3.3 Questionnaire Survey -- 4 Results and Visualization -- 4.1 Entertainment System Visualization -- 4.2 Ring Interactive System Design -- References -- Effects of Automated Vehicles' Transparency on Trust, Situation Awareness, and Mental Workload -- 1 Introduction -- 2 Method -- 2.1 Participants -- 2.2 Driving Scenario and NDRT -- 2.3 Apparatus -- 2.4 Experiment Design -- 2.5 Procedure -- 3 Results -- 3.1 Dynamic Measurement -- 3.2 Questionnaire Analysis -- 4 Discussion -- 4.1 Dynamic Measurement Analysis Results -- 4.2 Situation Awareness Accuracy -- 4.3 Mental Workload -- 5 Conclusion -- References -- Exploring Emotional Responses to Anthropomorphic Images in Autonomous Vehicle Displays: An Eye-Tracking Study -- 1 Introduction -- 1.1 Autonomous
Taxi Services -- 1.2 Anthropomorphic Design -- 1.3 Research Questions -- 2 Methods -- 2.1 Study Design and Participants -- 2.2 Experimental Procedure and Data Collection -- 3 Results and Analysis -- 3.1 Average Fixation Duration -- 3.2 Fixation Count -- 3.3 Self-assessment Manikin (SAM) Score -- 3.4 User Experience Questionnaire (UEQ-S) Scores -- 4 Discussion -- 4.1 Impact of Media Presentation Style on Riding Experience.
4.2 Impact of Anthropomorphic Presentation -- 4.3 Limitations -- 5 Conclusions -- References -- Analyzing the Remote Operation Task to Support Highly Automated Vehicles - Suggesting the Core Task Analysis to Ensure the Human-Centered Design of the Remote Operation Station -- 1 Introduction -- 1.1 Remote Operation of Automated Vehicles -- 1.2 Human-Centered Design -- 2 Method and Materials -- 2.1 A Core Task Analysis -- 2.2 Data -- 3 Results and Discussion -- 3.1 Environmental Demands -- 3.2 Core Task Functions -- 3.3 Methodical Considerations on CTA in Analyzing HAV Operations -- 4 Conclusion -- References -- Design of a Virtual Assistant: Collect of User's Needs for Connected and Automated Vehicles -- 1 Introduction -- 2 Method -- 2.1 Brainstorming -- 2.2 Focus Groups -- 3 Results -- 4 Conclusion and Future Directions -- References -- A Study on the Effects of Different Interaction Modalities on Driving Trust in Automated Vehicles -- 1 Introduction -- 2 Methods -- 2.1 Participants -- 2.2 Apparatus -- 2.3 Interaction Model Research -- 2.4 Experimental Design -- 3 Results -- 3.1 Interaction Mode Trust Evaluation Results -- 3.2 Interaction Medium Trust Evaluation Results -- 4 Discussion -- 5 Discussion -- References -- Investigating the Impact Factors for Trust Analysis of Autonomous Vehicle -- 1 Introduction -- 2 Review -- 2.1 Automated Vehicle Technology Acceptance Model -- 2.2 The Structural Equation Model -- 3 Method -- 3.1 Questionnaire Design -- 3.2 Questionnaire Distribution and Statistics -- 3.3 The Questionnaire Reliability and Validity Analysis -- 3.4 Validated Factor Analysis -- 3.5 Constructing of Structural Equations Model -- 4 Discussions -- 4.1 Analysis of Factors Affecting Trust in Autonomous Driving -- 4.2 Design Strategies to Enhance Trust in Autonomous Driving -- 5 Conclusion -- References.
Impacts of Automated Valet Parking Systems on Driver Workload and Trust -- 1 Introduction -- 2 Method -- 2.1 Experimental Platform -- 2.2 Experimental Design -- 2.3 Measurements -- 2.4 Participants -- 2.5 Procedure -- 2.6 Data Analysis -- 3 Results -- 3.1 Eye Tracking Metrics -- 3.2 Face Orientation -- 3.3 Heart Rate Variability -- 3.4 Self-reported Surveys -- 4 Discussion -- 4.1 Driver Workload and Trust -- 4.2 Implications for Design and Overreliance -- 4.3 Limitations and Future Research -- 5 Conclusion -- References -- Verification of Continuous Recovery Operation Using Teleoperation System for Autonomous Vehicles - Consideration Focusing on Impact of Road Markings -- 1 Introduction -- 2 Related Studies -- 2.1 Previously Identified Problem of Remote Operation Systems -- 2.2 Remote-Type Autonomous Vehicle System for Multiple Vehicles -- 3 Our Hypotheses -- 3.1 Assumed Teleoperation System in This Study. -- 3.2 Assumed Hypothesis About Human Error -- 3.3 Assumed Hypothesis About Decreased Work Efficiency. -- 4 Experiment -- 4.1 Experimental Purpose and Method -- 4.2 Prototype System for This Experiment -- 4.3 Experimental Procedure -- 4.4 Evaluation Method -- 4.5 Results -- 4.6 Discussions -- 5 Additional Experiment -- 5.1 Purpose and Scenarios for Recovery Operation -- 5.2 Evaluation Method -- 5.3 Results -- 5.4 Discussions -- 6 Conclusion -- References -- Author Index.