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The path is the reward: considering social networks to contribute to the pleasure of urban strolling

Published: 27 April 2013 Publication History

Abstract

Most (mobile) online map services focus on providing their users the most efficient route to their target location. In this paper we investigate the relationship between the physical and digital urban navigation to improve wayfinding for pedestrians by enhancing their experiences when strolling through a city. With our application "Space Recommender System" we describe a new wayfinding approach by implementing common digital online methods of commenting and recommender systems into the physical world, using voting data from social network services. Initial findings highlight the general importance of the walking experience to the public and suggest that implementing social media based recommendations in route finding algorithms enhance the pleasure of urban strolling. The initial user tests 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 and highlight its potential for future novel wayfinding applications.

References

[1]
Dörk, M., Carpendale, S. & Williamson, C. The Information Flaneur: A Fresh Look at Information Seeking, In Proc. CHI 2011 ACM (2011) 1215--1224
[2]
Kirman, B., Linehan, C., Lawson, S., Get lost: facilitating serendipitous exploration in location-sharing services, In Proc CHI'12, ACM Press (2012), 23032308.
[3]
Kirman, B., "Get Lost, GetLostBot!" Annoying people by offering recommendations when they are not wanted. In Proc LocalPeMA'12, ACM Press (2012), 1920.
[4]
Kohonen, T., Self-organizing maps -- 3.ed., Springer, 2001
[5]
Krüger, A., Aslan, I., Zimmer, H., The effects of mobile pedestrian navigation systems on the concurrent acquisition of route and survey knowledge. Mobile Human-Computer Interaction-- MobileHCI 2004, (2004), 39--60.
[6]
Lindqvist, J., Cranshaw, J., Wiese, J., Hong, H. and Zimmerman, J., I'm the Mayor of My House: Examining Why People Use foursquare, In Proc CHI'11, ACM Press (2011), 2409--2418. .
[7]
Pariser, E., The Filter Bubble: What the Internet is hiding from you. Penguin Press HC, 2011.
[8]
Raubal, M., Winter, S., Enriching Wayfinding Instructions with Local Landmarks, In Geographic Information Science -- Proc GIScience 2002, (2002), 243--259.
[9]
Schöning, J., Hecht, B., Starosielski, N., Evaluating automatically generated location-based stories for tourists, In Proc CHI'08, ACM Press (2008), 2937--2942.
[10]
Shang, S., Hui, P., Kulkarni, S. R., Cuff, P.W., 2012, Wisdom of the Crowd: Incorporating Social Influence in Recommendation Models. Proc. ICPADS '11, IEEE (2011), 835--840.
[11]
Turner, A., Penn, A., Encoding natural movement as an agent-based system: an investigation into human pedestrian behaviour in the built environment. 2001. Environment and Planning B: Planning and Design, 29 (2002), 473--490.

Cited By

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  • (2024)What's the Rush?: Alternative Values in Navigation Technologies for Urban PlacemakingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642470(1-17)Online publication date: 11-May-2024
  • (2023)AR-Based Visitor Support System for Enhancing the Liveliness of Sightseeing Spots Using CG Humanoid ModelsVirtual, Augmented and Mixed Reality10.1007/978-3-031-35634-6_48(665-677)Online publication date: 23-Jul-2023
  • (2022)Spatial Data in Urban InformaticsMachine Learning and the City10.1002/9781119815075.ch28(367-378)Online publication date: 27-May-2022
  • Show More Cited By

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  1. The path is the reward: considering social networks to contribute to the pleasure of urban strolling

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    cover image ACM Conferences
    CHI EA '13: CHI '13 Extended Abstracts on Human Factors in Computing Systems
    April 2013
    3360 pages
    ISBN:9781450319522
    DOI:10.1145/2468356
    Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 27 April 2013

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    Author Tags

    1. mobile devices
    2. recommendation systems
    3. social networks
    4. urban pedestrian navigation
    5. voting data
    6. wayfinding

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    CHI EA '13 Paper Acceptance Rate 630 of 1,963 submissions, 32%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    View all
    • (2024)What's the Rush?: Alternative Values in Navigation Technologies for Urban PlacemakingProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642470(1-17)Online publication date: 11-May-2024
    • (2023)AR-Based Visitor Support System for Enhancing the Liveliness of Sightseeing Spots Using CG Humanoid ModelsVirtual, Augmented and Mixed Reality10.1007/978-3-031-35634-6_48(665-677)Online publication date: 23-Jul-2023
    • (2022)Spatial Data in Urban InformaticsMachine Learning and the City10.1002/9781119815075.ch28(367-378)Online publication date: 27-May-2022
    • (2021)A study of rerouting beyond ad hoc decision makingProceedings of the 14th ACM SIGSPATIAL International Workshop on Computational Transportation Science10.1145/3486629.3490695(1-10)Online publication date: 2-Nov-2021
    • (2018) Participatory urban informatics: towards citizen- ability Smart and Sustainable Built Environment10.1108/SASBE-10-2017-00517:1(4-19)Online publication date: 3-Apr-2018
    • (2017)Citizen science for pedestrian cartographyHuman-centric Computing and Information Sciences10.1186/s13673-017-0090-97:1(1-23)Online publication date: 1-Dec-2017
    • (2017)Beautiful…but at What Cost?Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/30900801:2(1-21)Online publication date: 30-Jun-2017
    • (2016)Citizens breaking out of filter bubblesProceedings of the 5th ACM International Symposium on Pervasive Displays10.1145/2914920.2915010(140-147)Online publication date: 20-Jun-2016
    • (2016)No more Autobahn!Proceedings of the 21st International Conference on Intelligent User Interfaces10.1145/2856767.2856804(147-151)Online publication date: 7-Mar-2016
    • (2015)A Study of a Life Logging Smartphone App and Its Power Consumption Observation in Location-Based Service ScenarioProceedings of the 2015 IEEE International Conference on Mobile Services10.1109/MobServ.2015.40(225-232)Online publication date: 27-Jun-2015
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