Pervasive Computing
9th International Conference, Pervasive 2011, San Francisco, USA, June 12-15, 2011. Proceedings
Published on 3. June 2011
XIII, 370 pages
978-3-642-21726-5 (ISBN)
Description
This book constitutes the refereed proceedings of the 9th International Conference on Pervasive Computing, Pervasive 2011, held in San Francisco, USA, in June 2011.
The 19 revised full papers and three short papers presented were carefully reviewed and selected from 93 submissions. The contributions are grouped into the following topical sections: practices with smartphones; sensing at home, sensing at work; predicting the future; location sensing; augmenting mobile phone use; pervasive computing in the public arena; public displays; hands on with sensing; sensing on the body.
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Kent Lyons | Jeffrey Hightower | Elaine M. Huang
Pervasive Computing
9th International Conference, Pervasive 2011, San Francisco, USA, June 12-15, 2011. Proceedings
Book
05/2011
1st Edition
Springer
€53.49
Shipment within 7-9 days
Content
- Intro
- Title Page
- Preface
- Organization
- Table of Contents
- Practices with Smartphones
- Planning, Apps, and the High-End Smartphone: Exploring the Landscape of Modern Cross-Device Reaccess
- Introduction
- Related Work
- Mobile Information Needs
- Search Behavior and Revisitation Patterns
- Cross-Device Interaction
- User Study
- Participants
- Procedure
- Results and Observations
- Current Tools Do Not Adequately Support Cross-Device Reaccess
- Cross-Device Reaccess Happens in Both Directions
- Unplanned Reaccess Behavior
- The Role of Applications
- Discussion
- Conclusion
- References
- Understanding Human-Smartphone Concerns: A Study of Battery Life
- Introduction
- Related Work
- Study
- Implementation
- Device Distribution
- How Do Users Manage Battery Life?
- How Much Energy Do Users Waste?
- How Does Charging Happen?
- How Often Is the Phone Rebooted/Turned Off?
- Discussion
- Users' Charging Habits
- Avoiding Energy Waste
- Opportunistic Processing on Smartphones
- Conclusion
- References
- Sensing at Home, Sensing at Work
- Monitoring Residential Noise for Prospective Home Owners and Renters
- Introduction
- Background
- Related Work
- Noise and Hearing
- Research Methodology
- Data Collection
- Noise Pollution Survey
- Selection Monitoring Sites
- Field Recordings
- Noise Monitoring Hardware
- Data Representation
- Noise Model
- Quantitative Presentation of Noise Data
- Qualitative Presentation of Noise Data
- Evaluation
- Conclusions
- References
- A Longitudinal Study of Pressure Sensing to Infer Real-World Water Usage Events in the Home
- Introduction
- Related Work
- Data Collection and Deployment
- Acquiring Ground Truth Labels in a Real-World Deployment
- Water Usage Activity Ground Truth Sensors
- Pressure Sensors and Software Tools
- Deployments
- Analysis of the Collected Dataset
- Valve Event Classification Algorithm
- Analysis and Results
- Discussion and Conclusion
- References
- Exploring the Design Space for Situated Glyphs to Support Dynamic Work Environments
- Introduction
- Situated Glyphs: Understanding the Design Space
- What: Information AÆnity
- How: Representation Density
- Where: Spatial Distribution
- When: Temporal Distribution
- Discussion
- References
- Predicting the Future
- Learning Time-Based Presence Probabilities
- Introduction
- Household GPS Survey
- Self-reported Home/Away Schedules
- Drive Time Prediction
- Probabilistic Home/Away Schedules
- Combining Probabilistic Schedule and Drive Time Algorithms
- Discussion and Summary
- References
- $n$-Gram Geo-trace Modeling
- Introduction
- Quantizing Geo-trace Data
- Location Quantization through Partition
- Time and Direction Features
- Geo-label
- Geo-trace Modeling
- $n$-Gram Model
- T-Patterns
- Decaying Probabilistic Transition Network
- Experiments and Results
- Data Collection and Preprocessing
- Anomaly Detection
- Geo-tag Feature Selection
- Impact of History Length $n$
- ROC Curves of the $n$-Gram Model
- Partitioning Granularity
- Evaluating Variation of Accuracy vs. Anomalous Data Seen
- Effectiveness of $n$-Gram Model for Location Prediction
- Discussion
- Applications of Geo-trace Modeling
- Related Work
- Conclusion
- References
- Location Sensing
- Autonomous Construction of a WiFi Access Point Map Using Multidimensional Scaling
- Introduction
- Related Work
- WiFi AP Positioning Using MDS
- Positioning Scheme
- Dissimilarity Matrix of WiFi APs
- Multifloor AP Positioning
- Autonomous Collaboration
- Results
- Single-Floor AP Positioning
- Multi-floor AP Positioning
- Simulation Analysis
- Discussion and Future Work
- Conclusions
- References
- Identifying Important Places in People's Lives from Cellular Network Data
- Introduction
- Data Collection Methodology and Characteristics
- Anonymized Call Detail Records
- Ground Truth Data from Volunteers
- Identifying Important Places
- Clustering Cell Towers
- Determining Importance
- Validation of Important Places Algorithm
- Important Places in Los Angeles and New York
- Identifying Home and Work
- Home and Work Algorithms
- Validation of Home and Work Algorithms
- Example Applications: Commute Distances and Carbon Footprints
- Calculating Commute Distances
- Commute Distances in Los Angeles and New York
- Carbon Footprint Estimation
- Related Work
- Conclusions
- References
- NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems
- Introduction
- Predicting Spatio-temporal Properties of Mobile Users
- Significant Places Extraction
- Predicting User Behavior
- Nonlinear Prediction Framework: Key Concepts and Practical Implementation Issues
- Validation of the Prediction Framework Using Real-World Measurements
- Datasets
- Practical Issues
- Time Series Predictability Test
- Evaluating Prediction Accuracy
- Related Work
- Conclusions
- References
- Augmenting Mobile Phone Use
- Using Decision-Theoretic Experience Sampling to Build Personalized Mobile Phone Interruption Models
- Introduction
- Related Work
- Domain: Mobile Phone Interruptibility Preferences
- 4 Experience Sampling to Acquire Training Data
- Approximating Cost Models with Surveys
- Learning Interruption Preferences Using Experience Sampling
- Discussion
- Conclusion
- References
- SpeakerSense: Energy Efficient Unobtrusive Speaker Identification on Mobile Phones
- Introduction
- Related Work
- SpeakerSense
- SpeakerSense Architecture
- Sound and Speech Detection
- Frame Admission and Speaker Identification on the Phone
- Evaluation
- Data Collection
- Trade-offs between Computational Cost and Accuracy
- Efficiency of SpeakerSense
- Training Speaker Models
- Using a Phone Call to Train a Model
- Using One-to-One Conversations to Train Speaker Models
- Sharing Speaker Models between Phones to Train Speaker Models
- Conclusions and Future Work
- References
- Text Text Revolution: A Game That Improves Text Entry on Mobile Touchscreen Keyboards
- Introduction
- Game Design and Text Entry Goals
- Game Play
- Related Research
- Evaluation
- Simulation Experiment
- Conclusion and Future Directions
- References
- Pervasive Computing in the Public Arena
- Pervasive Sensing to Model Political Opinions in Face-to-Face Networks
- Introduction
- Related Work
- Methodology
- Privacy Considerations
- Mobile Sensing Platform
- Dataset Characteristics
- Political Opinions (Dependent Variables)
- Analysis
- Individual Exposure to Diverse Opinions
- Pervasive Reflection of Dynamic Homophily
- Inferring Political Discussants
- Exposure and Future Opinions
- Modeling Opinion Change with Topic Models
- Latent Dirichlet Allocation
- Multimodal Exposure (MME) Features and Topics
- Model Selection with Statistics
- Results
- Conclusion
- References
- Lessons from Touring a Location-Based Experience
- Introduction
- From Concept to Premiere
- The Design Drivers behind Rider Spoke
- A Participant's View of Rider Spoke
- Implementing Rider Spoke
- Feedback from the Premiere Performance
- Lessons for the Infrastructure
- From Premiere to Touring
- Managing the User Generated Content
- The Complexities of the Location Mechanism
- Tools to Adapt the Location-Mechanism
- Populating the City with Stories
- Conclusion
- References
- Public Displays
- Hybrid Prototyping by Using Virtual and Miniature Simulation for Designing Spatial Interactive Information Systems
- Introduction
- Hybrid Prototyping with CityCompiler
- Sketching and Prototyping
- Testing Layout and Combination of Components
- Switching Virtual Devices and Real Devices
- Related Works
- Conclusion and Future Work
- References
- Designing Shared Public Display Networks - Implications from Today's Paper-Based Notice Areas
- Introduction
- Related Work
- Sharing Public Display Space
- Value Propositions of PNAs for Stakeholders
- Mechanism for Content Creation, Posting, Removing and Access Control
- Learning from Practices in the Analog World
- Study Design
- Observational Studies
- Interviews
- Data Analysis
- Findings
- Stakeholders and Motivation
- Displays and Content
- Managing Content and Supporting Memory
- The Role of Shared Displays in a Space
- Interplay between Space, Stakeholders, and Content
- Needs of Content Providers and Display Owners
- Design Implications
- Conclusion and Future Work
- References
- Hands on with Sensing
- Recognizing the Use of Portable Electrical Devices with Hand-Worn Magnetic Sensors
- Introduction
- Related Work
- Magnetic Field and Magnetic Sensor
- Magnetic Field Emitted by Electrical Devices
- Magnetic Sensor
- Sensor Device Design
- Manual Use of Electrical Devices
- Basic Idea of Recognition Method
- Design and Implementation of Prototype Device
- Characteristics of Sensor Data
- Recognition Method
- Feature Extraction
- Classification Methodology
- Evaluation
- Data Set
- Evaluation Results
- Conclusion
- References
- 3D Gesture Recognition: An Evaluation of User and System Performance
- Introduction
- Background and Motivation
- Study 1: Generation of a Common Gesture Set
- Results
- Gesture Recognition System
- Study Two: User and System Evaluation
- Method
- Results
- The Trade Off between System and User
- Conclusions and Future Work
- References
- Sensing on the Body
- Recognition of Hearing Needs from Body and Eye Movements to Improve Hearing Instruments
- Introduction
- Paper Scope and Contributions
- Paper Organisation
- Hearing Instrument Technology
- The Acoustic Ambiguity Problem
- Vision of a Future HI
- Related Work
- Experiment
- Procedure
- Performance Evaluation
- Data Collection
- Methods
- Analysis of Body Movements
- Analysis of Eye Movements
- Feature Selection and Classification
- Analysis of Sound
- Data Fusion
- Results and Discussion
- Analysis of the Different Modalities
- Analysis of Body Locations
- Further Analysis of the Head Location
- Individual Results for Each Participant
- Integrating Body and Eye Movement Sensing into a HI
- Limitations
- Considerations for Future Work
- Conclusion
- References
- Recognizing Whether Sensors Are on the Same Body
- Introduction
- Model
- Binding
- Authentication
- Unbinding
- Approach
- Method
- Feature Computation
- Coherence
- Feature Coherence
- Supervised Learning and Classification
- Classification Smoothing
- Dataset
- Evaluation
- Our Method
- Lester et al. Method
- Classification Smoothing
- Related Work
- Discussion and Future Work
- Conclusion
- References
- Sensing and Classifying Impairments of GPS Reception on Mobile Devices
- Introduction
- GPS: Operation Basics and Sources of Impairment
- GPS Operation Principles
- Environment Impacts on GPS Performance
- In-Phone Signal Recption and Antenna Design Considerations
- Quantifying the Body and Phone Impact on GPS Reception
- Methodology
- Measured Impacts of the User Body on GPS Reception
- Sensing and Classifying Impairment Sources
- Classification Concept and Procedure
- Feature Extraction
- Classification Results
- Discussion
- Conclusions
- References
- Author Index
