research-article

Introducing the space recommender system: how crowd-sourced voting data can enrich urban exploration in the digital era

Authors:

Martin Traunmueller,

Ava Fatah gen. SchieckAuthors Info & Claims

C&T '13: Proceedings of the 6th International Conference on Communities and Technologies

Pages 149 - 156

https://doi.org/10.1145/2482991.2482995

Published: 29 June 2013 Publication History

Abstract

Navigation systems like Google Maps and TomTom are designed to generate the shortest and less time consuming path for the user to reach a certain destination from his origin location, not taking into account the user's actual walking experience.

This paper investigates physical and digital urban navigation and describes a new approach by implementing common digital online methods of commenting and recommender systems into the physical world. Those methods are being translated into the urban environment, using Facebook voting data to generate an alternative to the shortest route in order to maximize the pleasure of an urban walk. Initial findings highlight the general importance of the walking experience to the public and suggest that implementing recommendations, based on social media voting systems, in route finding algorithms for mobile applications may enhance the pleasure of urban strolling. The testing of the system in a real world context together with collected feedback and the observations throughout the design process stimulate the discussions of wider issues.

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Cited By

Li YYabuki NFukuda T(2023)Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkabilityLandscape and Urban Planning10.1016/j.landurbplan.2022.104603230(104603)Online publication date: Mar-2023
https://doi.org/10.1016/j.landurbplan.2022.104603
Kovacevic AVukicevic MRadovanovic SDelibasic B(2020)CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment – Machine Learning ApproachADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium10.1007/978-3-030-55814-7_11(131-144)Online publication date: 18-Aug-2020
https://doi.org/10.1007/978-3-030-55814-7_11
Lee-Smith MRoss TMaguire MTso FMorley JCavazzi SHarrison SBardzell SNeustaedter CTatar D(2019)What Can We Expect from Navigating?Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion10.1145/3301019.3323889(237-244)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3301019.3323889
Show More Cited By

Index Terms

Introducing the space recommender system: how crowd-sourced voting data can enrich urban exploration in the digital era
1. Information systems
  1. Information systems applications
    1. Multimedia information systems

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cover image ACM Other conferences

C&T '13: Proceedings of the 6th International Conference on Communities and Technologies

June 2013

165 pages

ISBN:9781450321044

DOI:10.1145/2482991

Program Chairs:
Wolfgang Prinz
Fraunhofer FIT, RWTH Aachen
,
Christine Satchell
QUT, Brisbane; University of Melbourne

Copyright © 2013 ACM.

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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ITIS: ITIS e.V.
EUSSET: European Society for Socially Embedded Technologies

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2013

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C&T '13

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ITIS
EUSSET

C&T '13: International Conference on Communities and Technologies 2013

June 29 - July 2, 2013

Munich, Germany

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C&T '13 Paper Acceptance Rate 17 of 58 submissions, 29%;

Overall Acceptance Rate 80 of 183 submissions, 44%

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Cited By

Li YYabuki NFukuda T(2023)Integrating GIS, deep learning, and environmental sensors for multicriteria evaluation of urban street walkabilityLandscape and Urban Planning10.1016/j.landurbplan.2022.104603230(104603)Online publication date: Mar-2023
https://doi.org/10.1016/j.landurbplan.2022.104603
Kovacevic AVukicevic MRadovanovic SDelibasic B(2020)CrEx-Wisdom Framework for Fusion of Crowd and Experts in Crowd Voting Environment – Machine Learning ApproachADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium10.1007/978-3-030-55814-7_11(131-144)Online publication date: 18-Aug-2020
https://doi.org/10.1007/978-3-030-55814-7_11
Lee-Smith MRoss TMaguire MTso FMorley JCavazzi SHarrison SBardzell SNeustaedter CTatar D(2019)What Can We Expect from Navigating?Companion Publication of the 2019 on Designing Interactive Systems Conference 2019 Companion10.1145/3301019.3323889(237-244)Online publication date: 18-Jun-2019
https://dl.acm.org/doi/10.1145/3301019.3323889
Edinger JHofmann AWachner ABecker CRaychoudhury VKrupitzer C(2019)WheelShare: Crowd-Sensed Surface Classification for Accessible Routing2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PERCOMW.2019.8730849(584-589)Online publication date: Mar-2019
https://doi.org/10.1109/PERCOMW.2019.8730849
Tewell JBird JBuchanan GMark GFussell SLampe Cschraefel mHourcade JAppert CWigdor D(2017)Heat-NavProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025965(1131-1135)Online publication date: 2-May-2017
https://dl.acm.org/doi/10.1145/3025453.3025965
Wörndl WHefele AHerzog D(2017)Recommending a sequence of interesting places for tourist tripsInformation Technology & Tourism10.1007/s40558-017-0076-517:1(31-54)Online publication date: 9-Feb-2017
https://doi.org/10.1007/s40558-017-0076-5
Wörndl WHefele A(2016)Generating Paths Through Discovered Places-of-Interests for City Trip PlanningInformation and Communication Technologies in Tourism 201610.1007/978-3-319-28231-2_32(441-453)Online publication date: 23-Jan-2016
https://doi.org/10.1007/978-3-319-28231-2_32
Tanahashi YMa K(2013)OnMyWayProceedings of the 2013 International Conference on Cyberworlds10.1109/CW.2013.16(199-205)Online publication date: 21-Oct-2013
https://dl.acm.org/doi/10.1109/CW.2013.16

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