Ubiquitous Attentiveness – Enabling Context-Aware Mobile Applications and Services 1st edition by Herma van Kranenburg, Alfons Salden, Henk Eertink, Ronald van Eijk, Johan de Heer – Ebook PDF Instant Download/Delivery. 3540204183, 978-3540204183
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ISBN 10: 3540204183
ISBN 13: 978-3540204183
Author: Herma van Kranenburg, Alfons Salden, Henk Eertink, Ronald van Eijk, Johan de Heer
We present a concept called ‘ubiquitous attentiveness’: Context information concerning the user and his environment is aggregated, exchanged and constitutes triggers that allow mobile applications and services to react on them and adapt accordingly. Ubiquitous attentiveness is particularly relevant for mobile applications due to the use of positional user context information, such as location and movement. Key aspects foreseen in the realization of ubiquitously attentive (wearable) systems are acquiring, interpreting, managing, retaining and exchanging contextual information. Because various players own this contextual information, we claim in this paper that a federated service control architecture is needed to facilitate ubiquitous attentive services. Such a control architecture must support the necessary intelligent sharing of resources and information, and ensure trust.
Ubiquitous Attentiveness Enabling Context-Aware Mobile Applications and Services 1st Table of contents:
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Introduction
- 1.1 Overview of Ubiquitous Computing and Context Awareness
- 1.2 Importance of Attentiveness in Mobile Applications
- 1.3 Goals and Scope of the Paper
- 1.4 Organization of the Paper
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Background and Related Work
- 2.1 Ubiquitous Computing and Context-Aware Systems
- 2.2 Mobile Applications and the Need for Context-Awareness
- 2.3 Existing Context-Aware Systems and Frameworks
- 2.4 The Role of Attentiveness in Mobile Environments
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Concept of Ubiquitous Attentiveness
- 3.1 Defining Attentiveness in Ubiquitous Computing
- 3.2 Mechanisms for Achieving Attentiveness in Mobile Devices
- 3.3 The Impact of Attentiveness on User Experience and Efficiency
- 3.4 Attentiveness and its Relationship to Contextual Awareness
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Context-Aware Systems and Applications
- 4.1 Types of Context: Physical, Social, and Temporal
- 4.2 Sensors and Data Collection for Context Awareness
- 4.2.1 Environmental Sensors (e.g., GPS, Accelerometers)
- 4.2.2 Wearable Devices and Personal Sensors
- 4.2.3 Social Media and External Context Sources
- 4.3 Real-Time Data Processing for Context-Aware Systems
- 4.4 Context Recognition Techniques
- 4.4.1 Machine Learning Models
- 4.4.2 Rule-Based Systems
- 4.4.3 Hybrid Approaches
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Designing Context-Aware Mobile Applications
- 5.1 Core Principles for Developing Context-Aware Apps
- 5.2 Dynamic User Interfaces Based on Context
- 5.3 Adaptive Content Delivery and Personalized Services
- 5.4 Energy and Resource Efficiency in Context-Aware Apps
- 5.5 Case Study: Context-Aware Mobile Navigation Systems
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Ubiquitous Attentiveness in Action
- 6.1 Attention Tracking and Focus Detection
- 6.2 Context-Aware Alerts and Notifications
- 6.3 Enhancing User Engagement Through Attentive Design
- 6.4 Real-World Examples: Smart Homes, Healthcare, and Mobility
- 6.5 Leveraging Ubiquitous Attentiveness for Seamless Service Integration
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Challenges in Ubiquitous Attentiveness and Context-Aware Services
- 7.1 Privacy and Security Concerns in Context-Aware Systems
- 7.2 Data Overload and Managing Multiple Contexts
- 7.3 User Fatigue and Overattention in Context-Aware Applications
- 7.4 Achieving Balance Between Attentiveness and User Autonomy
- 7.5 Limitations in Sensor Accuracy and Real-Time Data Processing
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Applications and Use Cases of Ubiquitous Attentiveness
- 8.1 Healthcare Applications: Monitoring and Support
- 8.2 Smart Environments: Homes, Offices, and Cities
- 8.3 Mobile Assistants and Personalized Services
- 8.4 Entertainment and Media: Context-Aware Content Delivery
- 8.5 Location-Based Services: Enhanced User Interaction
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Evaluation and Metrics for Context-Aware Applications
- 9.1 Performance Metrics for Context Recognition and Response Time
- 9.2 User-Centric Evaluation: Usability and Satisfaction
- 9.3 Energy Efficiency and Resource Consumption in Mobile Apps
- 9.4 Data Accuracy and Reliability in Context-Aware Systems
- 9.5 Evaluating Attentiveness in User Interactions
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Future Directions and Open Research Questions
- 10.1 The Role of Artificial Intelligence in Attentiveness
- 10.2 Advanced Sensor Fusion Techniques for Improved Context Awareness
- 10.3 Evolution of Context-Aware Services with 5G and Edge Computing
- 10.4 Multimodal Context Awareness: Combining Visual, Auditory, and Sensor Data
- 10.5 Ethical and Social Implications of Ubiquitous Attentiveness
- Conclusion
- 11.1 Summary of Key Insights and Contributions
- 11.2 The Future of Ubiquitous Attentiveness in Mobile Applications
- 11.3 Final Thoughts on Creating Seamless and Intelligent User Experiences
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