Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19050
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dc.contributor.authorSAMSONOV, Pavel-
dc.contributor.authorTang, Xun-
dc.contributor.authorSCHOENING, Johannes-
dc.contributor.authorKuhn, Werner-
dc.contributor.authorHecht, Brent-
dc.date.accessioned2015-07-28T09:59:43Z-
dc.date.available2015-07-28T09:59:43Z-
dc.date.issued2015-
dc.identifier.citationProceedings of the International Conference on Human Factors in Computing Systems CHI2015, p. 971-974-
dc.identifier.isbn9781450331456-
dc.identifier.urihttp://hdl.handle.net/1942/19050-
dc.description.abstractRecent 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.-
dc.language.isoen-
dc.publisherACM-
dc.rightsPermission 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 permissions@acm.org. CHI 2015, April 18–23, 2015, Seoul, Republic of Korea. Copyright 2015 © ACM 978-1-4503-3145-6/15/04...$15.00. http://dx.doi.org/10.1145/2702123.2702269.-
dc.titleYou Can’t Smoke Here: Towards Support for Space Usage Rules in Location-aware Technologies.-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedateApril 18-23, 2015-
local.bibliographicCitation.conferencenameThe International Conference on Human Factors in Computing Systems CHI201-
local.bibliographicCitation.conferenceplaceSeoul, South-Korea-
dc.identifier.epage974-
dc.identifier.spage971-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.identifier.vabbc:vabb:394351-
dc.identifier.doi10.1145/2702123.2702269-
dc.identifier.isi000412395501002-
local.bibliographicCitation.btitleProceedings of the International Conference on Human Factors in Computing Systems CHI2015-
item.fulltextWith Fulltext-
item.fullcitationSAMSONOV, Pavel; Tang, Xun; SCHOENING, Johannes; Kuhn, Werner & Hecht, Brent (2015) You Can’t Smoke Here: Towards Support for Space Usage Rules in Location-aware Technologies.. In: Proceedings of the International Conference on Human Factors in Computing Systems CHI2015, p. 971-974.-
item.contributorSAMSONOV, Pavel-
item.contributorTang, Xun-
item.contributorSCHOENING, Johannes-
item.contributorKuhn, Werner-
item.contributorHecht, Brent-
item.accessRightsOpen Access-
item.validationecoom 2019-
item.validationvabb 2018-
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