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Trajectory-aware mobile search

Authors:

Amy KarlsonAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 2561 - 2564

https://doi.org/10.1145/2207676.2208644

Published: 05 May 2012 Publication History

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Abstract

Most location-aware mobile applications only make use of the user's current location, but there is an opportunity for them to infer the user's future locations. We present Trajectory-Aware Search (TAS), a mobile local search application that predicts the user's destination in real-time based on location data from the current trip and shows search results near the predicted location. TAS demonstrates the feasibility of destination prediction in an interactive mobile application. Our user study of TAS shows using predicted destinations to help select search results positively augments the local search experience.

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Cited By

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Kang YRahaman MRen YSanderson MWhite RSalim F(2022)App usage on-the-move: Context- and commute-aware next app predictionPervasive and Mobile Computing10.1016/j.pmcj.2022.10170487(101704)Online publication date: Dec-2022
https://doi.org/10.1016/j.pmcj.2022.101704
Sha LLucey PYue YWei XHobbs JRohlf CSridharan S(2018)Interactive Sports AnalyticsACM Transactions on Computer-Human Interaction10.1145/318559625:2(1-32)Online publication date: 11-Apr-2018
https://dl.acm.org/doi/10.1145/3185596
Isabela EDrona JFadhilah NTanoto DHarefa JPrajena GChowanda AAlexander (2018)NYAM: An Android Based Application for Food Finding Using GPSProcedia Computer Science10.1016/j.procs.2018.08.189135(393-399)Online publication date: 2018
https://doi.org/10.1016/j.procs.2018.08.189
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Index Terms

Trajectory-aware mobile search
1. Human-centered computing

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Information

Published In

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

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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Association for Computing Machinery

New York, NY, United States

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Published: 05 May 2012

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CHI '12

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CHI '12: CHI Conference on Human Factors in Computing Systems

May 5 - 10, 2012

Texas, Austin, USA

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

View all

Kang YRahaman MRen YSanderson MWhite RSalim F(2022)App usage on-the-move: Context- and commute-aware next app predictionPervasive and Mobile Computing10.1016/j.pmcj.2022.10170487(101704)Online publication date: Dec-2022
https://doi.org/10.1016/j.pmcj.2022.101704
Sha LLucey PYue YWei XHobbs JRohlf CSridharan S(2018)Interactive Sports AnalyticsACM Transactions on Computer-Human Interaction10.1145/318559625:2(1-32)Online publication date: 11-Apr-2018
https://dl.acm.org/doi/10.1145/3185596
Isabela EDrona JFadhilah NTanoto DHarefa JPrajena GChowanda AAlexander (2018)NYAM: An Android Based Application for Food Finding Using GPSProcedia Computer Science10.1016/j.procs.2018.08.189135(393-399)Online publication date: 2018
https://doi.org/10.1016/j.procs.2018.08.189
Lee SLim JPark JKim K(2016)Next Place Prediction Based on Spatiotemporal Pattern Mining of Mobile Device LogsSensors10.3390/s1602014516:2(145)Online publication date: 23-Jan-2016
https://doi.org/10.3390/s16020145
Pecher PHunter MFujimoto RFujimoto RUnger BCarothers C(2016)Data-Driven Vehicle Trajectory PredictionProceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2901378.2901407(13-22)Online publication date: 15-May-2016
https://dl.acm.org/doi/10.1145/2901378.2901407
Bar-David RLast M(2016)Context-Aware Location PredictionBig Data Analytics in the Social and Ubiquitous Context10.1007/978-3-319-29009-6_9(165-185)Online publication date: 7-Jan-2016
https://doi.org/10.1007/978-3-319-29009-6_9
Bae JSetlur VWatson BBoring SRukzio EGellersen HHinckley K(2015)GraphTilesProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2785830.2785872(63-70)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2785830.2785872
Church KCramer HBegole BKim JInkpen KWoo W(2015)Understanding Requirements of Place in Local SearchProceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2702613.2732871(1857-1862)Online publication date: 18-Apr-2015
https://dl.acm.org/doi/10.1145/2702613.2732871
Brown BMcGregor MMcMillan DCosley DForte ACiolfi LMcDonald D(2015)Searchable ObjectsProceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing10.1145/2675133.2675206(508-517)Online publication date: 28-Feb-2015
https://dl.acm.org/doi/10.1145/2675133.2675206
Bar-David RLast M(2014)Context-aware location predictionProceedings of the 5th and 1st International Conference on Big Data Analytics in the Social and Ubiquitous Context - 5th International Workshop on Modeling Social Media, 5th International Workshop on Mining Ubiquitous and Social Environments and First International Workshop on Machine Learning for Urban Sensor Data10.5555/3120818.3120827(165-185)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.5555/3120818.3120827
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