TY - GEN
T1 - An experiment in discovering personally meaningful places from location data
AU - Zhou, Changqing
AU - Ludford, Pamela
AU - Frankowski, Dan
AU - Terveen, Loren
PY - 2005
Y1 - 2005
N2 - 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.
AB - 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.
KW - Clustering algorithms
KW - Field studies.
KW - Location-aware applications
KW - Place discovery
KW - Ubiquitous computing
UR - http://www.scopus.com/inward/record.url?scp=84869119194&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869119194&partnerID=8YFLogxK
U2 - 10.1145/1056808.1057084
DO - 10.1145/1056808.1057084
M3 - Conference contribution
AN - SCOPUS:84869119194
SN - 1595930027
SN - 9781595930026
T3 - Conference on Human Factors in Computing Systems - Proceedings
SP - 2029
EP - 2032
BT - CHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05
T2 - Conference on Human Factors in Computing Systems, CHI EA 2005
Y2 - 2 April 2005 through 7 April 2005
ER -