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Modeling people's place naming preferences in location sharing

Published: 26 September 2010 Publication History

Abstract

Most location sharing applications display people's locations on a map. However, people use a rich variety of terms to refer to their locations, such as "home," "Starbucks," or "the bus stop near my house." Our long-term goal is to create a system that can automatically generate appropriate place names based on real-time context and user preferences. As a first step, we analyze data from a two-week study involving 26 participants in two different cities, focusing on how people refer to places in location sharing. We derive a taxonomy of different place naming methods, and show that factors such as a person's perceived familiarity with a place and the entropy of that place (i.e. the variety of people who visit it) strongly influence the way people refer to it when interacting with others. We also present a machine learning model for predicting how people name places. Using our data, this model is able to predict the place naming method people choose with an average accuracy higher than 85%.

References

[1]
}}foursquare. http://foursquare.com/.
[2]
}}Google Latitude. http://www.google.com/latitude.
[3]
}}Gowalla. http://gowalla.com/.
[4]
}}Helio. Available from: http://www.helio.com.
[5]
}}Locaccino: A User-Controllable Location-Sharing Tool. http://www.locaccino.org/.
[6]
}}Loopt. http://loopt.com.
[7]
}}PlaceLab. www.placelab.org.
[8]
}}Skyhook API. http://www.skyhookwireless.com/.
[9]
}}D. Ashbrook, "Learning Significant Locations and Predicting User Movement with GPS," in Proc .ISWC, 2002.
[10]
}}D. Ashbrook and T. Starner, "Using GPS to learn significant locations and predict movement across multiple users," Personal Ubiquitous Computing, vol. 7, pp. 275--286, 2003.
[11]
}}L. Barkhuus, B. Brown, M. Bell, M. Hall, S. Sherwood, and M. Chalmers, "From Awareness to Repartee: Sharing Location within Social Groups," in Proc. CHI, 2008.
[12]
}}L. Barkhuus and A. Dey, "Location-based Services for Mobile Telephony: a Study of Users' Privacy Concerns," in Proc. INTERACT, 2003.
[13]
}}M. Benisch, P. G. Kelley, N. Sadeh, L. F. Cranor, "Capturing Location-Privacy Preferences: Quantifying Accuracy and User-Burden Tradeoffs," Carnegie Mellon University Technical Report CMU-ISR-10-105, March 2010.
[14]
}}B. Brown, A. Taylor, S. Izadi, A. Sellen, J. Kaye, and R. Eardley, "Locating Family Values: A Field Trial of the Whereabouts Clock," in Proc. UbiComp, 2007.
[15]
}}S. Consolvo, I. E. Smith, T. Matthews, A. LaMarca, J. Tabert, and P. Powledge, "Location Disclosure to Social Relations: Why, When, & What people want to share," in Proc. CHI, 2005.
[16]
}}J. Cornwell, I. Fette, G. Hsieh, M. Prabaker, J. Rao, K. Tang, K. Vaniea, L. Bauer, L. Cranor, J. Hong, B. McLaren, M. Reiter, and N. Sadeh, "User-controllable Security and Privacy for Pervasive Computing," in Proc. WMCSA, 2007.
[17]
}}J. Cranshaw, E. Toch, J. Hong, A. Kittur, and N. Sadeh, "Bridging the Gap Between Physical Locaation and Online Social Networks," in Proc. UbiComp, 2010.
[18]
}}P. Fagerberg, F. Espinoza, and P. Persson, "What is a place? Allowing Users to Name and Define Places," in Proc. CHI 2003.
[19]
}}R. Genereux, L. Ward, and J. Russel, "The Behavioral Component in the Meaning of Places," Journal of Environmental Psychology, vol. 3, pp. 43--55, 1983.
[20]
}}J. Hightower, "From Position to Place," in The Workshop on Location-Aware Computing, 2003.
[21]
}}J. Hightower, S. Consolvo, A. Lamarca, I. Smith, and J. Hughes, "Learning and Recognizing the Places We Go," in Proc. UbiComp, 2005.
[22]
}}J. I. Hong and J. A. Landay, "An Architecture for Privacy-Sensitive Ubiquitous Computing," in Proc. MobiSys, 2004.
[23]
}}S. Huang, F. Proulx, and C. Ratti, "iFIND: a Peer-to-Peer Application for Real-time Location Monitoring on the MIT Campus," in Proc. CUPUM, 2007.
[24]
}}G. Iachello, I. Smith, S. Consolvo, G. Abowd, J. Hughes, J. Howard, F. Potter, J. Scott, T. Sohn, J. Hightower, and A. LaMarca, "Control, Deception, and Communication: Evaluating the Deployment of a Location-enhanced Messaging Service," in Proc. UbiComp, 2005.
[25]
}}G. Iachello, I. Smith, S. Consolvo, M. Chen, and G. D. Abowd, "Developing Privacy Guidelines for Social Location Disclosure Applications and Services," in Proc. SOUPS, 2005.
[26]
}}C. Jiang and P. Steenkiste, "A Hybrid Location Model with a Computable Location Identifier for Ubiquitous Computing," in Proc. UbiComp, 2002.
[27]
}}D. H. Kim, J. Hightower, R. Govindan, and D. Estrin, "Discovering Semantically Meaningful Places from Pervasive RF-Beacons," in Proc. UbiComp, 2009.
[28]
}}B. Kramer, "Classification of Generic Places: Explorations with Implications for Evaluation," Environmental Psychology, vol. 15, pp. 3--22, 1995.
[29]
}}J. Krumm and E. Horvitz, "Predestination: Inferring Destinations from Partial Trajectories," in Proc. UbiComp, 2006.
[30]
}}E. Laurier, "Why People Say Where They are During Mobile Phone Calls," Environment and Planning D: Society and Space, 2000.
[31]
}}S. Lederer, J. Mankoff, and A. K. Dey, "Who Want to Know What When? Privacy Preference Determinants in Ubiquitous Computing," in Proc. CHI, 2003.
[32]
}}L. Liao, "Location-based Activity Recognition ", Thesis-1269296, University of Washington, 2006.
[33]
}}L. Liao, D. Fox, and H. Kautz, "Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields," International Journal of Robotics Research, vol. 26, pp. 119--134, 2007.
[34]
}}J. Liu, O. Wolfson, and H. Yin, "Extracting Semantic Location from Outdoor Positioning Systems," in Proc. MDM, 2006.
[35]
}}E. Miluzzo, N. Lane, S. Eisenman, and A. Campbell, "CenceMe: Injecting Sensing Presence into Social Networking Applications," in Smart Sensing and Context, 2007, pp. 1--28.
[36]
}}L. Mummidi and J. Krumm, "Discovering points of interest from users' map annotations," GeoJournal, vol. 72, pp. 215--227, 2008.
[37]
}}T. Rattenbury, N. Good, and M. Naaman, "Towards Automatic Extraction of Event and Place Semantics from Flickr Tags," in Proc. SIGIR, 2007.
[38]
}}N. Sadeh, F. Gandon, and O. B. Kwon, "Ambient Intelligence: The myCampus Experience.," Chapter 3 in "Ambient Intelligence and Pervasive Computing", Eds. T. Vasilakos and W. Pedrycz, ArTech House, 2006.
[39]
}}N. Sadeh, J. Hong, L. Cranor, I. Fette, P. Kelley, M. Prabaker, and J. Rao, "Understanding and Capturing People's Privacy Policies in a Mobile Social Networking Application," the Journal of Personal and Ubiquitous Computing, Vol 13, No.6 August, 2009.
[40]
}}E. Schegloff, "Notes on a Conversational Practice: Formulating Place," Studies in Social Interaction, 1971.
[41]
}}B. N. Schilit and M. M. Theimer, "Disseminating active map information to mobile hosts," Network, IEEE, vol. 8, pp. 22--32, 1994.
[42]
}}J. Y. Tsai, P. Kelley, P. Drielsma, L. Cranor, J. Hong, and N. Sadeh, "Who's Viewed You? The Impact of Feedback in a Mobile Location Sharing System," in Proc. CHI, 2009.
[43]
}}J. Y. Tsai, P. G. Kelly, L. F. Cranor, and N. Sadeh, "Location-Sharing Technologies: Privacy Risks and Controls", "I/S: A Journal of Law and Policy for the Information Society", 2010, to appear.
[44]
}}J. Wang and J. Canny, "End-user Place Annotation on Mobile Devices: a Comparative Study," in Proc. CHI, 2006.
[45]
}}Y. Wang, J. Lin, M. Annavaram, Q. A. Jacobson, J. Hong, and B. Krishnamachari, "A Framework of Energy Efficient Mobile Sensing for Automatic User State Recognition," in Proc. MobiSys, 2009.
[46]
}}R. Want, A. Hopper, and J. Gibbons, "The active badge location system," ACM Trans. Inf. Syst., vol. 10, pp. 91--102, 1992.
[47]
}}A. Weilenmann, ""I can't talk now, I'm in a fitting room": Formulating Availability and Location in Mobile Phone Conversations," Environment and Planning, vol. 35, pp. 1589--1605, 2003.
[48]
}}M. Yutaka, O. Naoaki, I. Kiyoshi, N. Yoshiyuki, N. Takuichi, and H. KHiti, "Inferring Long-term User Property based on Users' Location History," in Proc. IJCAI, 2007.
[49]
}}C. Zhou, D. Frankowski, P. Ludford, S. Shekhar, and L. Terveen, "Discovering personally meaningful places: An interactive clustering approach," ACM Trans. Inf. Syst., vol. 25, p. 12, 2007.
[50]
}}C. Zhou, P. Ludford, D. Frankowski, and L. Terveen, "An Experiment in Discovering Personally Meaningful Places from Location Data," in Proc. CHI, 2005.
[51]
}}C. Zhou, P. Ludford, D. Frankowski, and L. Terveen, "How Do People's Concepts of Place Relate to Physical Locations?," in Proc. INTERACT, 2005.
[52]
}}C. Zhou, P. Ludford, D. Frankowski, and L. Terveen, "Talking about Place: An Experiment in How People Describe Places," in Pervasive, 2005.

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    cover image ACM Conferences
    UbiComp '10: Proceedings of the 12th ACM international conference on Ubiquitous computing
    September 2010
    366 pages
    ISBN:9781605588438
    DOI:10.1145/1864349
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 26 September 2010

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    Author Tags

    1. location representation
    2. location sharing
    3. location-based service
    4. place naming

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    Ubicomp '10
    Ubicomp '10: The 2010 ACM Conference on Ubiquitous Computing
    September 26 - 29, 2010
    Copenhagen, Denmark

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    UbiComp '10 Paper Acceptance Rate 39 of 202 submissions, 19%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    • (2021)Remembering Through Naming and Palimpsests: Case Study Example of the City of Shiraz, IranUrban Memory in City Transitions10.1007/978-981-16-1003-5_7(243-282)Online publication date: 3-Apr-2021
    • (2019)Technology-assisted reconstruction: a new alternative to the experience sampling methodBehaviour & Information Technology10.1080/0144929X.2019.1608303(1-19)Online publication date: 25-Apr-2019
    • (2018)Identifying Symptoms Using TechnologyTechnology and Adolescent Mental Health10.1007/978-3-319-69638-6_11(135-153)Online publication date: 2-Mar-2018
    • (2018)Location-Based Social NetworksEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4939-7131-2_319(1221-1234)Online publication date: 12-Jun-2018
    • (2017)Cost-Sensitive Semi-Supervised Personalized Semantic Place Label Recognition Using Multi-Context DataProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/31319031:3(1-14)Online publication date: 11-Sep-2017
    • (2017)Mobility in Later LifeProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025672(5716-5729)Online publication date: 2-May-2017
    • (2017)Location-Based Social NetworksEncyclopedia of Social Network Analysis and Mining10.1007/978-1-4614-7163-9_319-1(1-14)Online publication date: 18-Apr-2017
    • (2016)The discovery of personally semantic places based on trajectory data miningNeurocomputing10.1016/j.neucom.2015.08.071173:P3(1142-1153)Online publication date: 15-Jan-2016
    • (2015)PlatysACM Transactions on Software Engineering and Methodology10.1145/272997624:3(1-32)Online publication date: 13-May-2015
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