دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش:
نویسندگان: Vincent G. Duffy (editor)
سری:
ISBN (شابک) : 3031357477, 9783031357473
ناشر: Springer
سال نشر: 2023
تعداد صفحات: 638
[630]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 48 Mb
در صورت تبدیل فایل کتاب Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management: 14th International Conference, DHM 2023, Held as Part of ... II (Lecture Notes in Computer Science, 14029) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب مدلسازی دیجیتال انسان و کاربردها در سلامت، ایمنی، ارگونومی و مدیریت ریسک: چهاردهمین کنفرانس بین المللی، DHM 2023، برگزار شده به عنوان بخشی از ... II (یادداشت های سخنرانی در علوم کامپیوتر، 14029) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب مجموعه مقالات داوری چهاردهمین کنفرانس مدلسازی و کاربردهای دیجیتال انسان در سلامت، ایمنی، ارگونومی و مدیریت ریسک (DHM) است که به عنوان بخشی از بیست و پنجمین کنفرانس بین المللی، HCI International 2023، که به طور مجازی در کپنهاگ، دانمارک در ژوئیه 2023. مجموع 1578 مقاله و 396 پوستر موجود در اقدامات HCII 2023 به دقت بررسی و از بین 7472 مورد ارسالی انتخاب شد. روش DHM 2023 بر حوزه های مختلف کاربرد تمرکز دارد و آثاری با تمرکز بر عوامل انسانی و ارگونومی بر اساس مدل های انسانی، رویکردهای جدید در مراقبت های بهداشتی و کاربرد هوش مصنوعی در پزشکی تولید کرده است. برنامه های کاربردی جالب در بسیاری از بخش ها نشان داده خواهد شد. طراحی کار و بهره وری، رباتیک و سیستم های هوشمند از جمله تلاش های مدل سازی انسان و ماشین و گزارش نتایج امسال است.
This book constitutes the refereed proceedings of the 14th Digital Human Modeling & Applications in Health, Safety, Ergonomics & Risk Management (DHM) Conference, held as part of the 25th International Conference, HCI International 2023, which was held virtually in Copenhagen, Denmark in July 2023. The total of 1578 papers and 396 posters included in the HCII 2023 proceedings was carefully reviewed and selected from 7472 submissions. The DHM 2023 method focuses on different areas of application and has produced works focused on human factors and ergonomics based on human models, novel approaches in healthcare and the application of artificial intelligence in medicine. Interesting applications will be shown in many sectors. Work design and productivity, robotics and intelligent systems are among this year\'s human-machine modeling and results reporting efforts.
Foreword HCI International 2023 Thematic Areas and Affiliated Conferences List of Conference Proceedings Volumes Appearing Before the Conference Preface 14th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (DHM 2023) HCI International 2024 Conference Contents – Part II Contents – Part I Digital Health Computational Support to Apply Eladeb Auto-Evaluation in Multiple Platforms 1 Introduction 2 Digital Self-assessment Instrument ELADEB 2.1 WEB/Desktop Module 2.2 Augmented Reality Module 2.3 Virtual Reality Module 3 Methodology 3.1 Participant Profile and Testing Procedures 3.2 Ergonomic Inspection 3.3 Cognitive WalkThrough 4 Results 4.1 Ergonomic Inspection Results 4.2 Cognitive Walkthrough Usability Evaluation Results 5 Recommendations 6 Conclusion 7 Future Works References Let's Start Tomorrow - Bridging the Intention Behavior Gap Using Fitness Apps 1 Introduction 2 Related Work 2.1 Value of Fitness-Apps 2.2 Measuring Acceptance of Fitness Apps 2.3 Approaching the Intention Behavior Gap 3 Empirical Approach and Logic of Procedure 3.1 Evaluation Measures 3.2 Structural Equation Modeling (SEM) 3.3 Assessment of Quality 4 Results 4.1 Sample 4.2 Acceptance Relevant Factors 4.3 Acceptance Relevant Factors of Users and Non-users 4.4 Acceptance Explained by UTAUT2 and Behavioral Related Factors 4.5 Bridging the Intention Behavior Gap 5 Discussion and Guidelines 5.1 Limitations and Future Research 5.2 Conclusion References A Study on the Service Design of Self-health Management for Adolescents with Asthma Based on Persuasive Technology 1 Introduction 2 Persuasive Design Theory 3 Analysis of User Behavior of Adolescent Asthma Patients 3.1 Asthma Self-health Management User Research 3.2 Analysis of Asthma Self-health Management Behavior 4 Persuasive Service Design Strategies for Asthma Self-management 4.1 Enhancing User Behavior Motivation 4.2 Enhancing User Behavior Ability 4.3 Set User Behavior Triggers 5 Design Practice Based on Persuasion Strategies 5.1 Asthma Self-management Smart Product Design 5.2 Asthma Self-management Persuasion Service Design 6 Conclusion References Demystifying the Role of Digital Leadership in the Healthcare Industry: A Systematic Review Towards the Development of a Digital Leadership Framework in the Healthcare Industry 1 Introduction 2 Background 3 Literature Review 3.1 Notion of Digital Leadership 3.2 Digital Leadership in Healthcare Industries 4 Methodology 5 Findings 6 Conclusion and Implications 7 Future Research Directions References Promote or Restrict? A Co-design Practice of a Palliative Care Information Management System in China 1 Introduction 2 Design and Development 2.1 Methods of Design and Development 2.2 Process of Design and Development 2.3 Results of Design and Development 3 Evaluation 3.1 Method of Evaluation 3.2 Sample Collection 3.3 Results of Evaluation 4 Discussion and Conclusion 4.1 Relevance of Co-design and Usability 4.2 Limitation References Motivation Enhancement Design for Individual Exercise Habits Based on Multimodal Physiological Signals 1 Introduction 2 Method 2.1 Participants and Experimental Setup 2.2 Data Analysis and Processing 2.3 Motivation Enhancement and Evaluation 2.4 The Linear Prediction Models 3 Results 4 Discussion 4.1 Perceptible Positive Feedback and Future Expectations 4.2 Intrinsic Motivation Enhancement 4.3 Future Work 5 Conclusion References Designing Relational AI-Powered Digital Health Coaching for Chronic Disease Prevention and Management 1 Introduction 2 Related Work 2.1 Effective Health Coach-Coachee Dyads 2.2 Effective Human-Computer Interactions 3 Research Objective 4 Methods 4.1 Approach 4.2 Interviews 4.3 Analyses 5 Results 5.1 Participants 5.2 Conceptual Framework of Coaching Stages 5.3 Key Elements of Each Coaching Stage 5.4 Overarching Coaching Strategies for Human-Like Interactions 6 Discussion 6.1 Limitations 7 Conclusions References A Hybrid Multi-criteria Framework for Evaluating the Performance of Clinical Labs During the Covid-19 Pandemic 1 Introduction 2 Literature Review 2.1 Introduction 2.2 Challenges Faced by Clinical Labs During the Pandemic 2.3 Evaluating Preparedness and Performance of Clinical Labs Using Multi-criteria Decision-Making (MCDM) Techniques 3 Proposed Methodology 4 Results and Discussion 5 Conclusions and Future Work References The Role of Social Networks When Using Digital Health Interventions for Multimorbidity 1 Introduction 2 Background 3 Method 3.1 The ProACT Platform 3.2 Data Collection: Mixed Method Approach 4 Results 4.1 Social Support 4.2 Social Influence 4.3 Social Engagement 4.4 Person-to-Person Contact 5 Discussion 6 Conclusion References Applying the Trajectories Conceptual Framework: A Case Study of an IoT Health Data Monitoring Application 1 Introduction 2 Background 2.1 Internet of Things (IoT) 2.2 First Responders 2.3 Gap Between HCI Research and Practice 2.4 Trajectories Conceptual Framework 2.5 Real-Time Emergency Communication System for HAZMAT Incidents (REaCH) 3 Methods 3.1 Action Research 3.2 Operationalizing TCF Through AR 4 Case Study 5 Results 5.1 Cycle 1 – Stakeholder Focus Group 5.2 Cycle 2 – High Fidelity Wireframe 5.3 Cycle 3 – Minimum Viable Product Validation 5.4 Cycle 4 – Expanded Functionality Testing 6 Discussion 6.1 Reflection on Each Trajectory 6.2 Enhancement of the Trajectories Conceptual Framework 7 Conclusion References Multidimensional Data Integration and Analysis for Youth Health Care During the Covid-19 Pandemic 1 Introduction 2 Related Work 2.1 Wearable Devices 2.2 The Combination of TCM Health Assessment and Wearable Devices 2.3 LightGBM in Health Field 3 Multidimensional Data Analysis Methods 3.1 Framework for Multidimensional Data Analysis 3.2 Correlation Analysis and Statistical Test 3.3 Regression and Feature Importance Analysis Using LightGBM 4 Experiment Result and Discussion 4.1 Experiment Overview 4.2 Data Preprocessing 4.3 Correlation Analysis Results 4.4 LightGBM Regression Analysis Results 5 Conclusion References Design for Shoulder and Neck Pain Based on Yoga Asanas Practice 1 Introduction 1.1 Background 1.2 Status 1.3 Purpose and Significance 2 Methods 2.1 Overview of Testing Protocol 2.2 Participants 2.3 Procedures 3 Results and Discussions 3.1 Basic Information About the Participants 3.2 Neck Pain Intensity and Neck Muscle Endurance 3.3 EMG 4 Product Design 4.1 Definition 4.2 Design 5 Conclusion References Proposal for Family Health Management Service Based on Personal Medical and Lifelog Data, and Genetic Information 1 Introduction 2 Healthcare System Utilization Status 3 User Analysis 3.1 Health Management Based on Consumption Patterns 3.2 Characteristics of Potential Main Users 4 Service Direction 4.1 Health Management Method Based on Inborn Constitution 4.2 Method of Providing Comprehensive Interpretation by Accumulating Collected Data 4.3 Ways to Manage the Health of Family Members 5 Service Suggestion 5.1 Information Architecture and Wireframe 5.2 Service Development Through Usability Testing 5.3 Final Content and Design 6 Conclusion References An Interactive Design Solution for Sleep Persuasion Based on Health Risk Visualization 1 Introduction 2 User Research 2.1 Questionnaire 2.2 Preliminary Conception 2.3 Interview 3 Design Process 3.1 Design Requirement 3.2 Content Frame 3.3 High-Fidelity Prototype 4 User Study 5 Discussion 6 Conclusion and Future Work References Comparison of Physiological Responses to Stroop Word Color Test and IAPS Stimulation 1 Introduction 2 Background 2.1 Stress Estimation Methods 2.2 Stress Induction for Experiment 3 Research Objective 4 Experiment 4.1 Participants 4.2 Measurements 4.3 Experiment Procedure 5 Result and Discussion 5.1 Data Pre-processing 5.2 Data Analysis 5.3 Discussion 6 Conclusion References IoT and AI in Medicine and Healthcare Artificial Intelligence for Clinical Intensive Care in the Hospital: Opportunities and Challenges 1 Introduction 1.1 Technological Innovations for Clinical Intensive Care in the Hospital 1.2 Brief Overview Regarding the Current Practice in Health Care 1.3 Details of Technological Innovations 2 Methods 3 Results 3.1 Requirements Analysis 3.2 Ethical Implications 3.3 Social Implications 3.4 Legal Implications 4 Discussion 5 Conclusion References Proposal of a Prototype Wireless Network Based on IoT that Allows the Monitoring of Vital Signs of Patients 1 Introduction 2 Literature Review 3 Methodology 4 Results and Discussion 4.1 Network Simulation 4.2 Network Performance Indicators 5 Conclusions and Future Works References Mel Frequency Cepstral Coefficients and Support Vector Machines for Cough Detection 1 Introduction 2 Similar Work 3 Experimental Setup 4 Methods 4.1 Pre-processing 4.2 Feature Selection 4.3 Cough and Non-cough Classification 5 Classification Results 5.1 Discussion 6 Conclusion References Multi-stakeholder Approach for Designing an AI Model to Predict Treatment Adherence 1 Introduction 2 Materials and Methods 2.1 BEAMER Project 2.2 Multi-stakeholder Engagement 2.3 Requirements Extraction 2.4 User Stories Definition 3 Results 3.1 Multi-stakeholder Engagement 3.2 Requirements’ Collection 3.3 User Stories Defined from the Extracted Requirements 4 Conclusions References Using Lean Six Sigma and Discrete-Event Simulation to Reduce Patient Waiting Time Before Sample Collection: A Clinical Lab Case Study 1 Introduction 2 Literature Review 3 Proposed Methodology 4 Results and Discussion 4.1 Definition 4.2 Measure 4.3 Analysis 4.4 Improvement 4.5 Control 5 Conclusions and Future Work References A Hybrid Fuzzy MCDM Approach to Identify the Intervention Priority Level of Covid-19 Patients in the Emergency Department: A Case Study 1 Background 2 Methodology 2.1 Trapezoidal Neutrosophic Fuzzy Analytic Hierarchy Process (TNF-AHP) 2.2 Intuitionistic Fuzzy Combined Compromise Solution (IF-CoCoSo) 3 Results and Discussion 3.1 Creation of a Decision-Making Group 3.2 Design of the Prioritization Model 3.3 Weights of Criteria and Sub-criteria 3.4 Calculation of Intervention Priority Level (IPL) 4 Conclusions and Future Work References Generation of Consistent Slip, Trip and Fall Kinematic Data via Instability Detection and Recovery Performance Analysis for Use in Machine Learning Algorithms for (Near) Fall Detection 1 Introduction 1.1 State of the Art STF Prevention 1.2 State of the Art Near Fall Classification 2 Materials and Methods 2.1 Participants 2.2 Experimental Setup 2.3 Experimental Protocol 2.4 Definition of Near Falls in the Context of Workers 3 Conclusion References Safe Environments to Understand Medical AI - Designing a Diabetes Simulation Interface for Users of Automated Insulin Delivery 1 Introduction 2 Background 2.1 Intelligent Systems for Automated Insulin Delivery (AID) 2.2 User Experience of Information Processing in AID Systems 2.3 Simulation of Type 1 Diabetes and AID Systems 2.4 Supporting Traceability and Trust Through Interactive Simulation 3 Study 1: Interviews with Health Care Providers and Patients 3.1 Participants 3.2 Material and Procedure 3.3 Thematic Analysis 3.4 Results of Study 1 3.5 Implementation of Requirements in Existing Simulations 4 Study 2: Experimental Evaluation of an Interactive Diabetes Simulation 4.1 Participants 4.2 Material 4.3 Procedure 4.4 Hypotheses and Statistical Analysis 4.5 Results of Study 2 5 Discussion 5.1 Summary of Results 5.2 Implications 5.3 Limitations and Further Research 6 Conclusion References Advanced Artificial Intelligence Methods for Medical Applications 1 Introduction 2 Background of Medical Imaging 3 Modeling Patient's Internal Organism: Challenges 4 Modeling Patient's Internal Organism: Solutions 5 Discussion 6 Conclusion References Automated Nystagmus Parameter Determination: Differentiating Nystagmic from Voluntary Eye-Movements 1 Introduction 2 State of the Art 3 Algorithm-Based User Modeling for People with Nystagmus 3.1 Automated Nystagmus Parameter Determination 3.2 Automated Eye-movement Categorization 4 Evaluation 4.1 Methodology 4.2 Results 4.3 Discussion 5 Conclusion References Modeling Complex Human Behavior and Phenomena Disaster Mitigation Education Through the Use of the InaRISK Personal Application in Indonesia 1 Introduction 2 Literature Review 2.1 Information Technology Management in Disaster Mitigation 2.2 InaRiskPersonal Application 3 Method 4 Result and Discussion 4.1 InaRISK Personal Application Information 4.2 InaRISK Personal Application Communication 4.3 Coordination of InaRISK Personal Applications 5 Conclusions References Using Agent-Based Modeling to Understand Complex Social Phenomena - A Curriculum Approach 1 Introduction 2 Related Work 2.1 Agent-Based Modeling 3 Designing Curricula 4 Curriculum Development 5 Call for Collaboration on the Open Curriculum 5.1 Social Dynamics Hub References Policy-Based Reinforcement Learning for Assortative Matching in Human Behavior Modeling 1 Introduction 2 Related Works 3 Methods 3.1 Multi-Head Attention Function in A3C Algorithm (MA-A3C) 3.2 General Procedures of MA-A3C Algorithm 4 Experiment and Discussion 4.1 Experimental Environment 4.2 Experiment Design 4.3 Experiment Result 4.4 Discussion 5 Conclusion References The Influence of Background Color and Font Size of Mobile Payment App Interface on Elderly User Experience 1 Introduction 2 Related Research 3 Method 3.1 Experimental Design 3.2 Experimental Materials 3.3 Experimental Equipment 3.4 Participant 3.5 Experimental Process 4 Data Analysis 4.1 Task Completion Time Analysis 4.2 Eyes Movement Behavior Analysis 5 Discussion 6 Conclusions References A Roadmap for Technological Innovation in Multimodal Communication Research 1 Introduction: Multimodal Communication 1.1 Goals of This Article 1.2 Overarching Terms 2 Development of Multimodal Research 2.1 Establishing Multimodal Research 2.2 Interaction with Other Fields 3 Available Tools, Methods and Databases 3.1 Motion Recording Techniques 3.2 Neural and Physiological Methods 3.3 Data Synchronization 3.4 Manual Annotation and Existing Multimodal Corpora 3.5 Machine Learning 3.6 Factors that Can Accelerate Integration Between Disciplines 3.7 Summary 4 Discussion References News Articles on Social Media: Showing Balanced Content Adds More Credibility Than Trust Badges or User Ratings 1 Introduction 2 Related Work 2.1 News Consumption in Digital Media 2.2 How Do We Select the News Articles We Read? 2.3 Confirmation Bias and Credibility Cues 2.4 Measuring Contextual Decision-Making Using Conjoint Studies 2.5 Research Question 3 Method 3.1 Online Questionnaire 3.2 Sample Description 4 Results 4.1 Credibility Cues in Facebook News Posts 4.2 Interaction Effects Between Visible Cue and Flavor 5 Discussion 5.1 Implications for Design 6 Conclusion References Semantic Scene Builder: Towards a Context Sensitive Text-to-3D Scene Framework 1 Introduction 2 Related Work 2.1 Text-to-3D Scene 2.2 SemAF and IsoSpace 3 Semantic Scene Builder 3.1 Parsing 3.2 Inference 3.3 Generation 3.4 Annotation 4 Implementation 5 Evaluation 6 Discussion and Future Work 7 Conclusion A Appendix References A Digital Human Emotion Modeling Application Using Metaverse Technology in the Post-COVID-19 Era 1 Introduction 2 Human Emotions Modeled and Used for Evaluating the Performances of Augmented Reality Systems 3 Human Emotions Modeled and Used for Triggering Augmented Reality Content 4 Discussion and Summary References Bibliometric Analysis and Systematic Literature Review on Data Visualization 1 Introduction 2 Purpose of Study 3 Research Methodology 3.1 Steps of Systematic Review 3.2 Data Collection 3.3 Statistical Analysis 3.4 Engagement Measure 3.5 Trend Analysis 4 Results 4.1 Content Analysis 4.2 Pivot Table 4.3 Cluster Analysis 4.4 Content Analysis Using MAXQDA 5 Discussion 6 Conclusion 7 Future Work References A Modular Framework for Modelling and Verification of Activities in Ambient Intelligent Systems 1 Introduction 2 Formal Definition of Petri Net Classes 2.1 Ambient Petri Nets Class 2.2 Transformed Ambient Petri Nets Class 3 Modelling Ambient Intelligent Systems 3.1 Step-Modelling Approach 3.2 Composing Ambient Petri Nets (APNs) 4 Transforming and Unfolding Ambient Petri Nets 4.1 Defining the Construction 4.2 Unfolding T-APNs into General Petri Nets 5 Petri Net Slicing 6 Evaluation 7 Conclusion References An Analysis and Review of Maintenance-Related Commercial Aviation Accidents and Incidents 1 Introduction 2 Analysis of Maintenance-Related Accidents and Incidents 2.1 Using the NTSB Coding System to Identify Maintenance-Related Accidents and Incidents 2.2 Analyzing Accidents and Incidents Using the NTSB Codes 3 Methods to Detect Human Error in Maintenance 3.1 Accident and Incident Investigations 3.2 FAA Incident Reports 3.3 Anonymous Incident Reports 3.4 Internal Reporting Systems 4 How Can We Prevent the Causes and Maintenance Errors? 5 Discussion 6 Conclusion References Analysis of Human Factors and Resilience Competences in ASRS Data Using Natural Language Processing 1 Introduction 2 Construction of Resilience Competence Extraction Model from ASRS Data 2.1 Data 2.2 Annotating Sentences with Resilience Behavior 2.3 Construction of Resilience Competence Extraction Model 3 Application of the Model to ASRS Data and Embodying Resilience Competence 3.1 Data 3.2 Embodying Resilience Competence 4 Application of the Structural Topic Modeling to ASRS Data 4.1 Data 4.2 Estimating Topics 4.3 Human Factor and Resilience Competence Closely Related to the Topic 5 Conclusion References Non-immersive vs. Immersive: The Difference in Empathy, User Engagement, and User Experience When Simulating the Daily Life of Rheumatoid Arthritis Patients 1 Introduction 2 Experimental Design 2.1 Non-immersive Set Up 2.2 Immersive Set Up 3 Application Development 4 Results 4.1 User Experience 4.2 Empathy 4.3 User Engagement 5 Conclusion and Future Work References Trend Analysis on Experience Evaluation of Intelligent Automobile Cockpit Based on Bibliometrics 1 Introduction 2 Experiment Method 2.1 Experiment Methodology Selection 2.2 Experiment Data Source 3 Experiment Results 3.1 Publication Trends 3.2 High-Frequency Keywords 3.3 High-Frequency Authors 3.4 High-Frequency Areas 3.5 Organizations 3.6 Main Publications 3.7 Highly Cited Papers 4 Discussion 4.1 The Trend of Experience Evaluation Platforms 4.2 The Trend of Experience Evaluation Method 4.3 The Trend of Experience Evaluation Index 5 Conclusion References Intelligent Human-Computer Interaction Interface: A Bibliometric Analysis of 2010–2022 1 Introduction 2 Methodologies 3 Results and Discussion 3.1 Performance Analysis 3.2 Keyword Co-occurrence Analysis 3.3 Research Areas Analysis 3.4 Co-citation Network 3.5 Research Trends Analysis 3.6 Research Framework 3.7 Limitations 4 Conclusion References Author Index