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Discovering personally meaningful places

Changqing Zhou, Dan Frankowski, Pamela Ludford, Shashi Shekhar, Loren Terveen
2007 ACM Transactions on Information Systems  
We extended a clustering algorithm to discover places. We also defined a set of essential evaluation metrics and an interactive evaluation framework.  ...  It is a challenge to map from physical locations to personally meaningful places due to a lack of understanding of what constitutes the real users' personally meaningful places.  ...  We extend a clustering algorithm to discover personal places, and validate its effectiveness using an interactive evaluation framework in a large-scale empirical experiment.  ... 
doi:10.1145/1247715.1247718 fatcat:bt33nkxf7jg6ze32ddisthhw4y

An experiment in discovering personally meaningful places from location data

Changqing Zhou, Pamela Ludford, Dan Frankowski, Loren Terveen
2005 CHI '05 extended abstracts on Human factors in computing systems - CHI '05  
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.  ...  Previous work has explored algorithms to discover personal places from location data.  ...  ComMotion [8] pioneered an interactive discovery approach to acquiring user locations.  ... 
doi:10.1145/1056808.1057084 dblp:conf/chi/ZhouLFT05 fatcat:ddr7dcdxmbgsziswwvrfcz4qem

Discovering semantically meaningful places from pervasive RF-beacons

Donnie H. Kim, Jeffrey Hightower, Ramesh Govindan, Deborah Estrin
2009 Proceedings of the 11th international conference on Ubiquitous computing - Ubicomp '09  
We experimentally evaluate PlaceSense's effectiveness in discovering semantically meaningful places, and compare with other approaches that use coordinates or RF-beacon fingerprints.  ...  Detecting visits to semantically meaningful places is important for many emerging mobile applications.  ...  Combining location with activity and social interaction offers the exciting goal of rich, natural, personalized interactions with mobile devices and instrumented environments.  ... 
doi:10.1145/1620545.1620549 dblp:conf/huc/KimHGE09 fatcat:lfcifgt6b5gzzj5rlrxnfnthwi

Identifying Meaningful Places: The Non-parametric Way [chapter]

Petteri Nurmi, Sourav Bhattacharya
2008 Lecture Notes in Computer Science  
Locations, to which a user can attach meaningful and descriptive semantics, are often called places. In this paper we focus on the automatic extraction of places from discontinuous GPS measurements.  ...  We describe and evaluate a non-parametric Bayesian approach for identifying places from this kind of data.  ...  The algorithm discovered 16 clusters, of which 4 were considered meaningful after post-processing. The size of the clusters varied from three data points to 282 data points.  ... 
doi:10.1007/978-3-540-79576-6_7 fatcat:ci7wm3h6p5cpfm4nvte6xixige

Effective Schemes for Place Name Annotations with Mobile Crowd

Yao-Chung Fan, Hsueh-Wen Tseng
2015 Mobile Information Systems  
To this end, our idea is to employ crowdsourcing model to perform place name annotations by mobile participants to bridge the gap between signals and human-defined places.  ...  The major challenge for using Wi-Fi access point is that there is no mechanism for mapping observed Wi-Fi signals to human-defined places.  ...  Score Specification 3 Meaningful places to more than 10 persons 2 Meaningful places to 5-10 persons 1 Meaningful places to 1-4 persons 0 Meaningless places the resultant sets.  ... 
doi:10.1155/2015/809168 fatcat:rpqw67gu2rbdtm45vvaqadx6hy

End-user place annotation on mobile devices

Jingtao Wang, John Canny
2006 CHI '06 extended abstracts on Human factors in computing systems - CHI EA '06  
In this paper, we investigate four techniques for collecting end-user place annotations interactively using cell phones.  ...  Advances in Location-Based Services (LBS) are opening opportunities for using the location of people, places, and things to augment or streamline interaction.  ...  It's possible to discover personal meaningful places from users' history location traces automatically [1] , [8] by using spatial and/or temporal data clustering algorithms.  ... 
doi:10.1145/1125451.1125725 dblp:conf/chi/WangC06a fatcat:e76ulyd6ezdgxoftc2lge3tfeq

Placing in Age

Siân Lindley, Jayne Wallace
2015 ACM Transactions on Computer-Human Interaction  
Rubinstein [1989] proposes three such processes: social-centred, in which links to place concern an understanding of the appropriate way of doing things; person-centred, in which links to place concern  ...  Autobiographical insideness is the sense that a place is bound up with identity and legacy through personal history and memory; physical insideness relates to an affinity with the space that is underpinned  ...  A sense of place, and of being 'in place', must be forged by persons; it cannot be an inherent aspect of a system.  ... 
doi:10.1145/2755562 fatcat:bemu4xycnjharcvadguviquug4

Platys Social: Relating Shared Places and Private Social Circles

Pradeep Murukannaiah, Munindar Singh
2012 IEEE Internet Computing  
Platys Social is a novel approach that learns a user's social circles and prioritizes his connections by bringing together contextual information and user interactions.  ...  Social circles and priorities among connections facilitate intelligent collaboration by helping a user determine how to interact with whom. Social circles can be valuable in online applications.  ...  Considering each scan event in the Wi-Fi AP log as a data point, we perform cluster analysis to discover significant places.  ... 
doi:10.1109/mic.2011.106 fatcat:r7rpnldqdzdlhge57beg5xmz4i

Relational place-making: the networked politics of place

Joseph Pierce, Deborah G Martin, James T Murphy
2010 Transactions of the Institute of British Geographers  
While place-oriented scholars have long acknowledged the importance of interaction and communication in place-making, the mutual integration of network concepts, political theorisations and place conceptualisations  ...  Place-making is an inherently networked process, constituted by the socio-spatial relationships that link individuals together through a common place-frame.  ...  We are grateful for the extensive and productive feedback from the three anonymous reviewers, and to Edmund Harris for review of an early draft.  ... 
doi:10.1111/j.1475-5661.2010.00411.x fatcat:vpdyjnv7mjgorktlgsjy5sw32i

Creating Places through Architecture: Can environment-behaviour research help?

Ranjith Dayaratne
2016 Asian Journal of Behavioural Studies  
In this context, this paper presents an attempt by a student of architecture to employ environment-behaviour research in the design of an elder's home and discusses the potentials and problems of the approach  ...  For quite some time, architects have been struggling to benefit from the vast body of environment-behaviour research to produce meaningful architecture.  ...  The research showed that the act of enabling places could be made clearer and the students can be directed easily to acquire an architecturally rich conceptual approach based on scientifically discovered  ... 
doi:10.21834/ajbes.v1i2.28 fatcat:kpkhrbpedzdzpewt3ynwkijj5m

Volunteer Meanings in the Making of Place [chapter]

Ben Amsden, Richard C. Stedman, Linda E. Kruger
2012 Place-Based Conservation  
places that are meaningful to them."  ...  Resulting clusters of similar human / place bond individuals can be compared for meaningful patterns of differences in opinions about management options for the planning area.  ... 
doi:10.1007/978-94-007-5802-5_9 fatcat:dfxenftyrvha5lk2qsxqy74wv4

Geographic 'Place' and 'Community Information' Preferences

Quentin Jones, Sukeshini A. Grandhi, Samer Karam, Steve Whittaker, Changqing Zhou, Loren Terveen
2007 Computer Supported Cooperative Work (CSCW)  
They also imbue various locations with personal meaning, creating group ÔhangoutsÕ and personally meaningful ÔplacesÕ.  ...  However, acting effectively on this potential requires an understanding of how: (1) places and place-types relate to peopleÕs desire for place-related awareness of and communication with others; and (2  ...  The final study we present explores how mobility traces can be used to identify personally meaningful places.  ... 
doi:10.1007/s10606-007-9038-3 fatcat:6xhl7ittrve4zhs6mksug3u5sm

On-device modeling of user's social context and familiar places from smartphone-embedded sensor data [article]

Mattia Giovanni Campana, Franca Delmastro
2022 arXiv   pre-print
Current solutions mainly focus on limited context information generally processed on centralized architectures, potentially exposing users' personal data to privacy leakage, and missing personalization  ...  In this paper we propose a novel, unsupervised and lightweight approach to model the user's social context and her locations based on ego networks directly on the user mobile device.  ...  [54] have recently proposed a clustering-based approach to discover significant places for the mobile user by analyzing her spatial and temporal trajectories.  ... 
arXiv:2205.08790v1 fatcat:zurshzhsvnfhhhjm45xl4fgwoe

Placing User-Generated Photo Metadata on a Map

Evangelos Spyrou, Phivos Mylonas
2011 2011 Sixth International Workshop on Semantic Media Adaptation and Personalization  
Finally we place these tags on a map to help users to intuitevely understand places of interest/visual content at a glance.  ...  We cluster photos based on their latitude and longitude and divide large areas into smaller clusters, which we will refer to as "geo-clusters". Geo-clusters have a fixed size and are able to overlap.  ...  However, the basic difference is that we aim to find the most important tags of a geo-cluster, targeting to landmarks, places of interest or even events, while Serdyukov et al. try to discover the actual  ... 
doi:10.1109/smap.2011.16 dblp:conf/smap/SpyrouM11 fatcat:klxpu77nnzbkdeyuxg77dhanby

Automatically characterizing places with opportunistic crowdsensing using smartphones

Yohan Chon, Nicholas D. Lane, Fan Li, Hojung Cha, Feng Zhao
2012 Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12  
Automated and scalable approaches for understanding the semantics of places are critical to improving both existing and emerging mobile services.  ...  Our results show that CSP can classify places into a variety of categories with an overall accuracy of 69%, outperforming currently available alternative solutions.  ...  We use speech recognition primarily to capture place hints found in the conversations of people as they interact (e.g., when a user purchases an item in a store).  ... 
doi:10.1145/2370216.2370288 dblp:conf/huc/ChonLLCZ12 fatcat:smegp4emrvg5lfvov5gbbxkwmm
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