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extended-abstract

Indoor collocation: exploring the ultralocal context

Published: 06 September 2016 Publication History

Abstract

Prior research has investigated how to improve awareness of collocation at neighborhood scales or citywide through the use of smartphone apps. The availability of indoor maps and more accurate indoor navigation technologies motivate us to investigate the concept of collocation in the context of indoor settings. In this paper, we introduce the notion of ultralocality, which involves people and various kinds of resources collocated in an indoor environment. We present our interview study and initial results that help us understand how people perceive collocation in an ultralocal enviornment. We also introduce a mobile application that helps people explore an ultralocal environment in the college campus buildings.

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Cited By

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  • (2023)A Simplex-based Enhancement of Property Graphs for Modelling Indoor LBSNsJournal of Geospatial Information Technology10.61186/jgit.11.3.2111:3(21-42)Online publication date: 1-Dec-2023
  • (2021)A topology-based graph data model for indoor spatial-social networkingInternational Journal of Geographical Information Science10.1080/13658816.2021.1912349(1-23)Online publication date: 14-Apr-2021

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Published In

cover image ACM Conferences
MobileHCI '16: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct
September 2016
664 pages
ISBN:9781450344135
DOI:10.1145/2957265
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 September 2016

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Author Tags

  1. hyperlocal
  2. indoor maps
  3. mobile collocation
  4. ultralocal

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MobileHCI '16
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Overall Acceptance Rate 202 of 906 submissions, 22%

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Cited By

View all
  • (2023)A Simplex-based Enhancement of Property Graphs for Modelling Indoor LBSNsJournal of Geospatial Information Technology10.61186/jgit.11.3.2111:3(21-42)Online publication date: 1-Dec-2023
  • (2021)A topology-based graph data model for indoor spatial-social networkingInternational Journal of Geographical Information Science10.1080/13658816.2021.1912349(1-23)Online publication date: 14-Apr-2021

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