The diary study: a workplace-oriented research tool to guide laboratory efforts
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Re-place-ing space: the roles of place and space in collaborative systems
CSCW '96 Proceedings of the 1996 ACM conference on Computer supported cooperative work
A diary study of work-related reading: design implications for digital reading devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A diary study of information capture in working life
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Social net: using patterns of physical proximity over time to infer shared interests
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Learning Significant Locations and Predicting User Movement with GPS
ISWC '02 Proceedings of the 6th IEEE International Symposium on Wearable Computers
FolkMusic: A Mobile Peer-to-Peer Entertainment System
HICSS '04 Proceedings of the Proceedings of the 37th Annual Hawaii International Conference on System Sciences (HICSS'04) - Track 9 - Volume 9
"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
People-to-People-to-Geographical-Places: The P3 Framework for Location-Based Community Systems
Computer Supported Cooperative Work
DeDe: design and evaluation of a context-enhanced mobile messaging system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An experiment in discovering personally meaningful places from location data
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Reality mining: sensing complex social systems
Personal and 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
Place-Its: a study of location-based reminders on mobile phones
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
Automatic identification of informal social groups and places for geo-social recommendations
International Journal of Mobile Network Design and Innovation
The MobiSoC middleware for mobile social computing: challenges, design, and early experiences
Proceedings of the 1st international conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications
MobiSoC: a middleware for mobile social computing applications
Mobile Networks and Applications
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People dynamically structure social interactions and activities at various locations in their environments in specialized types of places such as the office, home, coffee shop, museum and school. They also imbue various locations with personal meaning, creating group `hangouts' and personally meaningful `places'. Mobile location-aware community systems can potentially utilize the existence of such `places' to support the management of social information and interaction. However, acting effectively on this potential requires an understanding of how: (1) places and place-types relate to people's desire for place-related awareness of and communication with others; and (2) what information people are willing to provide about themselves to enable place-related communication and awareness. We present here the findings from two qualitative studies, a survey of 509 individuals in New York, and a study of how mobility traces can be used to find people's important places in an exploration of these questions. These studies highlight how people value and are willing to routinely provide information such as ratings, comments, event records relevant to a place, and when appropriate their location to enable services. They also suggest how place and place-type data could be used in conjunction with other information regarding people and places so that systems can be deployed that respect users' People-to-People-to-Places data sharing preferences. We conclude with a discussion on how `place' data can best be utilized to enable services when the systems in question are supported by a sophisticated computerized user-community social-geographical model.