Wearable Computing and the Remembrance Agent
BT Technology Journal
Rhythm modeling, visualizations and applications
Proceedings of the 16th annual ACM symposium on User interface software and technology
What a to-do: studies of task management towards the design of a personal task list manager
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Efficient retrieval of life log based on context and content
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Passive capture and ensuing issues for a personal lifetime store
Proceedings of the the 1st ACM workshop on Continuous archival and retrieval of personal experiences
Labels and event processes in the asbestos operating system
Proceedings of the twentieth ACM symposium on Operating systems principles
Toolkit support for developing and deploying sensor-based statistical models of human situations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Extracting knowledge about users' activities from raw workstation contents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Gui --- phooey!: the case for text input
Proceedings of the 20th annual ACM symposium on User interface software and technology
Leveraging semantic technologies for enterprise search
Proceedings of the ACM first Ph.D. workshop in CIKM
Predicting Customer Models Using Behavior-Based Features in Shops
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Analysis of students' learning activities through quantifying time-series comments
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
An ontology-based IT student model in an educational social network
Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Hi-index | 0.00 |
This paper addresses the problem of capturing rich, long-term personal activity logsof users' interactions with their workstations, for the purpose of deriving predictive, personal user models. Our architecture addresses a number of practical problems with activity capture, including incorporating heterogeneous information from different applications, measuring phenomena with different rates of change, efficiently scheduling knowledge sources, incrementally evolving knowledge representations, and incorporating prior knowledge to combine low-level observations into interpretations better suited for user modeling tasks. We demonstrate that the computational and memory demands of general activity capture are well within reasonable limits even on today's hardware and software platforms.