You can't smoke here: Towards support for space usage rules in location-aware technologies

Pavel Andreevich Samsonov, Xun Tang, Johannes Schöning, Werner Kuhn, Brent Hecht

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Recent work has identified the lack of space usage rule (SUR) data - E.g. "no smoking", "no campfires" - As an important limitation of online/mobile maps that presents risks to user safety and the environment. In order to address this limitation, a large-scale means of mapping SURs must be developed. In this paper, we introduce and motivate the problem of mapping space usage rules and take the first steps towards identifying solutions. We show how computer vision can be employed to identify SUR indicators in the environment (e.g. "No Smoking" signs) with reasonable accuracy and describe techniques that can assign each rule to the appropriate geographic feature.

Original languageEnglish (US)
Title of host publicationCHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCrossings
PublisherAssociation for Computing Machinery
Pages971-974
Number of pages4
Volume2015-April
ISBN (Electronic)9781450331456
DOIs
StatePublished - Apr 18 2015
Event33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015 - Seoul, Korea, Republic of
Duration: Apr 18 2015Apr 23 2015

Other

Other33rd Annual CHI Conference on Human Factors in Computing Systems, CHI 2015
CountryKorea, Republic of
CitySeoul
Period4/18/154/23/15

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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    Samsonov, P. A., Tang, X., Schöning, J., Kuhn, W., & Hecht, B. (2015). You can't smoke here: Towards support for space usage rules in location-aware technologies. In CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings (Vol. 2015-April, pp. 971-974). Association for Computing Machinery. https://doi.org/10.1145/2702123.2702269