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Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023): Volume 1 (Lecture Notes in Networks and Systems)

معرفی کتاب «Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023): Volume 1 (Lecture Notes in Networks and Systems)» نوشتهٔ José Bravo (editor), Gabriel Urzáiz (editor)، منتشرشده توسط نشر Springer Nature Switzerland AG در سال 2023. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (IoT), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a valuable resource for scholars, professionals, and graduate students alike. The primary aim of this book is to empower individuals within the academic and professional community to harness this wealth of knowledge. It equips them to tackle innovative challenges and engineer smart and ubiquitous solutions that will shape the landscape of the next decade. By amalgamating insights from various facets of ambient intelligence and ubiquitous computing, this book encourages cross-disciplinary collaboration and fosters a holistic understanding of the field. Thus, it not only highlights the recent strides in these areas but also serves as a roadmap for future exploration and innovation, paving the way for a smarter and more interconnected world. Preface Organization Contents About the Editors AmI for Health & (A3L) (Ambient, Active & Assisted Living) A Computational Model for Agents in a Social Context: An Approach Based on Theory of Mind 1 Introduction 2 Background 2.1 Theory of Mind (ToM) 2.2 BDI Agent Architecture 3 Related Works 4 Integrating Theory of Mind with the BDI Approach 5 Case Study: Bullying Scenario 5.1 System Specification 5.2 Architectural Design 5.3 Detailed Design 6 Conclusions References A Reinforcement Learning Algorithm for Improving the Generation of Telerehabilitation Activities of ABI Patients 1 Introduction 2 Background: Reinforcement Learning 3 A Reinforcement Learning Algorithm for Generation of Telerehabilitation Activities 4 Experiments and Results 5 Conclusions References Monitoring Environments with New Generation Devices 1 Introduction 2 Related Works 3 Materials and Methods 3.1 System Architecture 3.2 Data Collection 4 Case Study 4.1 First Scenario 4.2 Second Scenario 4.3 Third Scenario 5 Conclusions 5.1 Limitations and Future Works References Using Reference Points for Detection of Calcifications in Mammograms for Medical Active Systems 1 Introduction 1.1 Related Work 2 Materials and Methods 2.1 Subjects 2.2 Methodology 2.3 Results of the Analysis 3 Results 4 Conclusions References Age-Inclusive Design of Video Streaming Services: Integrating Insights and Design Implications 1 Introduction 2 Background 2.1 Physiological Changes in Older Adults 2.2 Understanding Older Adults' Preferences and Needs with Interactive Technology 2.3 Optimized Video Streaming Services 3 Design Implications and Discussion 3.1 Dynamic Adaptation of Age-Inclusive Design 3.2 Optimizing Video Bit Rate 3.3 Integrating External Sensors for Multi-modal Interaction References Review on Internet of Things for Innovation in Nursing Process- A PubMed-Based Search 1 Introduction 2 Methodology 2.1 Eligibility Criteria 2.2 Information Sources and Search Strategy 2.3 Study Selection 3 Results 3.1 Bibliometric Analysis 3.2 Sensing Technology and Approach 3.3 Application of IoT to Healthcare 3.4 Study Characteristics 4 Discussion 5 Conclusion References Detection of Sets and Repetitions in Strength Exercises Using IMU-Based Wristband Wearables 1 Introduction 2 Related Works 3 Materials and Methods 3.1 IMU-Based Wristband Wearable 3.2 Segmentation and Sequence of Features 3.3 Deep Learning Model for Classification and Estimation of Progression Level of Exercises 4 Results 4.1 Results for Classification of Strength Exercises 4.2 Results for Estimation of Progression Level in Repetitions 5 Conclusions and Ongoing Works References Enhancing Unobtrusive Home Technology Systems with a Virtual Assistant for Mood and Social Monitoring 1 Introduction 2 Related Work 3 Method 4 Results 4.1 Survey Results 4.2 Interview Results 5 Discussion 5.1 Limits, Barriers, Interesting Aspects of Indoor Monitoring Systems 5.2 Data/Behavior That Should Be Monitored 5.3 Which Technology Should Be Used? 6 A New Scenario 7 Conclusions and Future Work References New Trends in Machine Learning Techniques for Human Activity Recognition Using Multimodal Sensors 1 Introduction 2 Background 3 Architecture 4 Case Study 5 Conclusions References Exploring the Potential of an AI-Integrated Cloud-Based mHealth Platform for Enhanced Type 2 Diabetes Mellitus Management 1 Introduction 2 Related Work 3 The Proposed AI-Integrated Cloud-Based mHealth Platform 3.1 AI and Cloud-Based Backend Services 3.2 Web Application 3.3 Mobile Application 4 Preliminary Results 4.1 AI Image Recognition and Classification - Wagnernet 4.2 Feasibility Study 5 Conclusions and Further Work References Towards a Digital and Ubiquitous Ecosystem of Mobile Technology-Based Solutions to Facilitate Data Management Based on Sustainable Development Goals 1 Introduction 2 Related Work 3 Digital Ecosystem Architecture and Design 3.1 Conceptual Architecture Model 3.2 Proposed Software Architecture for the Semantic Core 4 Conclusions References Towards Abnormal Behaviour Detection on Elderly People at Home Through Smart Plugs and Its Relationship with Activities of Daily Living 1 Introduction 2 Background 2.1 ADL-Based Caregiving at Home 2.2 Digital Intervention Approaches 3 Monitoring and Detection Approach 3.1 Data Acquisition, Communication and Storage 3.2 Preprocessing and Data Cleaning 3.3 Categorization and Activity Detection 4 Preliminary Results 5 Conclusions References A Framework for Managing the Experimental Evaluation of Ambient Assisted Living Systems 1 Introduction 2 State of the Art 3 Architecture 4 Case Study 5 Conclusions References Towards a Virtual Reality Visualization of Hand-Object Interactions to Support Remote Physical Therapy 1 Introduction 2 Related Work 2.1 Remote Monitoring Strategies in Physical Therapy 2.2 Motion Data Visualization Approaches 3 VRMoVi 4 Evaluation Study 4.1 Participants 4.2 Study Design 4.3 Data Collection 4.4 Data Analysis 5 Results 5.1 Task 1: Differentiating Hand and Object Trajectories (RQ1) 5.2 Task 2: Interpreting Hand-Object Interactions (RQ2) 5.3 Challenges and Opportunities for VR Visualization for Hand-Object Interaction (RQ3) 6 Discussion 7 Conclusion References Creating Personalized Verbal Human-Robot Interactions Using LLM with the Robot Mini 1 Introduction 2 State of the Art 3 Generating Personalized Dialogues 3.1 Creating User Profile 3.2 Fetching Social Media Data 3.3 Generating the Dialogue 4 Integration in the Social Robot Mini 5 Evaluation 5.1 Participants 5.2 Procedure 5.3 Results 6 Conclusions and Future Works References Automation of Error Recognition in Therapies Executions Based on ECogFun-VR 1 Introduction 2 State of the Question 3 ECogFun-VR 3.1 Scenes 3.2 Errors 3.3 Automation 4 Conclusions and Future Work References Walkability for Active Aging: Factors and Features for an Adapted Trip Planning 1 Introduction 2 Walkability Factors and Their Impact on Older Adults 3 MOBILAINES Study on Walkability/Walking Experiences 4 Facilitators and Barriers: Insights from Our Workshops 5 Translating Walkability Factors to Features in the Multicriteria Optimization Algorithm 6 Discussion and Conclusions References Predicting User Adoption and Attrition of Digital Health 1 Introduction 2 Related Work 3 Methods 3.1 Description of Datasets 3.2 Cleaning the Dataset 3.3 Survival Analysis 3.4 Creating Classes 3.5 Feature Engineering 3.6 Classification Models 4 Results 5 Discussion 6 Conclusion and Future Work References A Distributed Cognition Approach to Understanding Compensatory Calendaring Cognitive Systems of Older Adults with Mild Cognitive Impairment and Their Care Partners 1 Introduction 2 Background 2.1 Mild Cognitive Impairment (MCI) 2.2 Digital Calendaring for Older Adults with MCI 2.3 Digital Communication Support Tools for Older Adults and Care Partners 2.4 Distributed Cognition (DCOG) 3 Methods 3.1 Mind Mapping Exercise 3.2 Compensatory Calendaring Inventory Worksheet 3.3 Group Discussion Session 4 Results 4.1 Analysis of Compensatory Calendaring Inventory Worksheets 4.2 DCOG Analysis of Dyads' Calendaring Systems 5 Discussion 5.1 Key Lapses Identified 5.2 Design Criteria for Digital Compensatory Interventions 6 Conclusion References Using Generative AI to Assist with Technology Adoption Assessment 1 Introduction 2 Background 3 Experimental Design 3.1 Use of Generative AI to Reformulate Questionnaires 4 Experimental Results and Discussion 5 Conclusions References ``Why Did You Say That?'': Understanding Explainability in Conversational AI Systems for Older Adults with Mild Cognitive Impairment (MCI) 1 Introduction 2 Background 2.1 Conversational Breakdowns in AI Systems 2.2 Role of Explainable AI 3 Previous Work: Analyzing the Use of Commercial Conversational AI Systems 4 Understanding Explainability Expectations for Conversational AI 4.1 Conversational Breakdowns Through the Lens of Explainable AI 4.2 Recommendations for Explainable AI Studies 5 Conclusion and Future Work References Proposal of a Device for Obstacle Detection Applied to Visually Impaired People 1 Introduction 2 Related Works 3 Objective of the Study 4 Study Proposal 5 Conclusions and Future Work References Transforming Elderly Care Through Ethical and Social Evaluation of Intelligent Activity Recognition Systems in Nursing Homes 1 Introduction 2 ACTIVA: A Intelligent System for Activity Recognition 3 Evaluation with DPA Model 3.1 Bioethics 3.2 Active Participation 3.3 Collaborative Intelligence 3.4 Well-Being 3.5 Co-responsibility 4 Conclusions and Future Works References Human-Computer Interaction Investigating Motivational Factors Influencing Users' Consumption of Video Streaming Services: A Human Factor Perspective 1 Introduction 2 Related Work 2.1 Theoretical Frameworks 2.2 Human Factors 3 Research Methodology 3.1 Sample Description, Data Collection and Analysis 4 Results 4.1 Intrinsic Factors 4.2 Extrinsic Factors 5 Discussion 6 Conclusion References Translation and Validation of the AttrakDiff User Experience Questionnaire to Spanish 1 Introduction 2 Background 3 Related Work 4 Methodology 5 Translation Insights 5.1 Modern Languages Faculty Students Translation 5.2 Domain Experts Translation 5.3 Crowdsourcing Translation 5.4 Machine Translation 5.5 AI Translation 5.6 Translation Proposal 6 Evaluation 7 Conclusions References The Mind in Virtual Meetings: Comparing VR and Video Conferencing Environments Through Experiential Impact Assessment and EEG Analysis 1 Introduction 2 Related Works 2.1 Virtual Reality Usage for Collaborative Meetings 2.2 Virtual Reality Usage with EEGs 3 Method 3.1 Participants 3.2 Activity 3.3 Apparatus 3.4 Statistical Analysis 4 Results 4.1 Intrinsic Motivation Inventory 4.2 Flow Short Scale 4.3 System Usability Scale 4.4 Self-assessment Manikin 4.5 Social Presence Inventory 4.6 EEG Arousal, Engagement & Valence 4.7 Summary 5 Discussion References Human-Centered Navigation Systems: A Systematic Literature Review 1 Introduction 2 Method 2.1 Research Questions 2.2 Search String 2.3 Information Sources and Inclusion/exclusion Criteria 2.4 Extracted Works 3 Results 3.1 User Models (Q1) 3.2 System Architectures (Q2) 4 Conclusion References Proactivity in Conversational Assistants: The mPLiCA Model Based on a Systematic Literature Review 1 Introduction 2 Proactive Interaction: A Systematic Review 2.1 Systematic Review Design 2.2 General Findings 2.3 Selected Related Work 3 Model of Proactivity Level in Conversational Assistants 3.1 mPLiCA: Proposed Model 3.2 Coverage of the Model 4 Conclusion References Conversational Agent Development Through Large Language Models: Approach with GPT 1 Introduction 2 Related Work 2.1 Chatbot Development Platforms (CDPs) 2.2 Large Language Models 3 Materials and Methods 3.1 Dialog Nodes 3.2 Intent Classifier 3.3 Named Entity Recognition (NER) 4 Results 4.1 Intent Classifier 4.2 Named Entity Recognition (NER) 5 Discussion 5.1 Intent Classifier 5.2 Named Entity Recognition 6 Conclusion References Enhancing Body Percussion Learning: An ICT Supplement for Home Practice Using Gesture Recognition 1 Introduction 2 Related Works 3 A Proposal for Body Percussion Gesture Recognition 3.1 App for Body Percussion Homework 4 Conclusions and Future Works References User Modeling Through Physiological Signals: A Systematic Review 1 Introduction 2 Related Work 3 Research Methodology 3.1 Research Questions 3.2 Selected Database 3.3 Search Strategy 3.4 Data Extraction 3.5 Results 4 Conclusions References And How Enjoyable? Converting a User Experience Evaluation Questionnaire into a Voice Conversation 1 Introduction 2 Related Work 3 Development Process 4 Evaluation 5 Discussion and Conclusions References A Collaborative Environment for Co-delivering Citizen Science Campaigns 1 Introduction 2 Related Work 3 INTERLINK’S Collaborative Environment 3.1 Tackling Co-delivery: Replication and Sustainability 4 A Collaborative Environment for Citizen Science 4.1 SOCIO-BEE’s Approach to Citizen Science 4.2 Challenges Managing, Executing, and Exploiting CS Campaigns 4.3 Managing Citizen Science Campaigns through Collaborative Environment 5 Conclusion and Future Work References Author Index
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