The diary study: a workplace-oriented research tool to guide laboratory efforts
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
Rapid prototyping of mobile context-aware applications: the Cyberguide case study
MobiCom '96 Proceedings of the 2nd annual international conference on Mobile computing and networking
Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
Automatic organization for digital photographs with geographic coordinates
Proceedings of the 4th ACM/IEEE-CS joint conference on Digital libraries
"I'm waiting where we met last time": exploring everyday positioning practices to inform design
Proceedings of the third Nordic conference on Human-computer interaction
Discovering personal gazetteers: an interactive clustering approach
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Learning and inferring transportation routines
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Because I carry my cell phone anyway: functional location-based reminder applications
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PePe field study: constructing meanings for locations in the context of mobile presence
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones
Proceedings of the 5th international conference on Mobile systems, applications and services
Discovering personally meaningful places: An interactive clustering approach
ACM Transactions on Information Systems (TOIS)
Geographic `Place' and `Community Information' Preferences
Computer Supported Cooperative Work
Identifying Meaningful Places: The Non-parametric Way
Pervasive '08 Proceedings of the 6th International Conference on Pervasive Computing
Mining periodic patterns in spatio-temporal sequences at different time granularities
Intelligent Data Analysis
Conceptual enrichment of locations pointed out by the user
KES'07/WIRN'07 Proceedings of the 11th international conference, KES 2007 and XVII Italian workshop on neural networks conference on Knowledge-based intelligent information and engineering systems: Part I
Modeling people's place naming preferences in location sharing
Proceedings of the 12th ACM international conference on Ubiquitous computing
How do people's concepts of place relate to physical locations?
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
| Hi-index | 0.00 |
As mobile devices become location-aware, they offer the promise of powerful new applications. While computers work with physical locations like latitude and longitude, people think and speak in terms of places, like "my office" or ``Sue's house''. Therefore, location-aware applications must incorporate the notion of places to achieve their full potential. This requires systems to acquire the places that are meaningful for each user. Previous work has explored algorithms to discover personal places from location data. However, we know of no empirical, quantitative evaluations of these algorithms, so the question of how well they work currently is unanswered. We report here on an experiment that begins to provide an answer; we show that a place discovery algorithm can do a good job of discovering places that are meaningful to users. The results have important implications for system design and open up interesting avenues for future research.