C4.5: programs for machine learning
C4.5: programs for machine learning
Extracting usability information from user interface events
ACM Computing Surveys (CSUR)
An investigation of geographic mapping techniques for internet hosts
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Machine Learning in User Modeling
Machine Learning and Its Applications, Advanced Lectures
Adaptable and Adaptive User Interfaces for Disabled Users in the AVANTI Project
IS&N '98 Proceedings of the 5th International Conference on Intelligence and Services in Networks: Technology for Ubiquitous Telecom Services
Hippie: A Nomadic Information System
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Challenge: ubiquitous location-aware computing and the "place lab" initiative
Proceedings of the 1st ACM international workshop on Wireless mobile applications and services on WLAN hotspots
Accuracy characterization for metropolitan-scale Wi-Fi localization
Proceedings of the 3rd international conference on Mobile systems, applications, and services
An investigation into keystroke latency metrics as an indicator of programming performance
ACE '05 Proceedings of the 7th Australasian conference on Computing education - Volume 42
Automatic ontology matching using application semantics
AI Magazine - Special issue on semantic integration
Ontology translation for interoperability among semantic Web services
AI Magazine - Special issue on semantic integration
Somebody, Sometime, Somewhere, Something
UDM '05 Proceedings of the International Workshop on Ubiquitous Data Management
Localisation intra-bâtiment multi-technologies: RFID, wifi et vision
UbiMob '05 Proceedings of the 2nd French-speaking conference on Mobility and ubiquity computing
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Interface Adaptation Based on User Expectation
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
GUMSAWS: A Generic User Modeling Server for Adaptive Web Systems
CNSR '07 Proceedings of the Fifth Annual Conference on Communication Networks and Services Research
Towards a DL-Based Semantic User Model for Web Personalization
ICAS '07 Proceedings of the Third International Conference on Autonomic and Autonomous Systems
Scale-dependency in IP-based positioning of network clusters
Journal of Location Based Services - 4th International Conference on LBS and TeleCartography Hong Kong
Localization and 3D reconstruction of urban scenes using GPS
ISWC '08 Proceedings of the 2008 12th IEEE International Symposium on Wearable Computers
GeoLife2.0: A Location-Based Social Networking Service
MDM '09 Proceedings of the 2009 Tenth International Conference on Mobile Data Management: Systems, Services and Middleware
The Beacon Movement Detection Problem in Wireless Sensor Networks for Localization Applications
IEEE Transactions on Mobile Computing
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Large-scale localization from wireless signal strength
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 1
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Journal of Computer and System Sciences
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This research investigates barriers that prevent Location Based Services (LBS) from reaching its full potential. The different constraints, including poor usability, lack of positioning support, costs, and integration difficulties are highlighted. A framework was designed incorporating components based on existing and new technologies that could help address the constraints of LBS and increase end-user acceptance. This research proposes that usability constraints can be addressed by adapting a system to user characteristics which are inferred on the basis of captured user context and interaction data. A prototype LBS system was developed to prove the feasibility and benefit of the framework design, demonstrating that constraints of positioning, cost, and integration can be overcome. Volunteers were asked to use the system, and to answer questions in relation to their proficiency and experience. User-feedback showed that the proposed combination of functionality was well-received, and the prototype was appealing to many users. Ground-truths from the survey were related back to data captured with a user monitoring component in order to investigate whether users can be classified according to their context and how they interact. The results have shown that statistically significant relationships exist, and that by using the C4.5 decision-tree, computer proficiency can be estimated within one class-width in 76.7% of the cases. These results suggest that it may be possible to build a user-model to estimate computer proficiency on the basis of user-interaction data. The user model could then used to improve usability through adaptive user-specific customisations.