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dc.contributor.authorTunold, Siv
dc.contributor.authorRadianti, Jaziar
dc.contributor.authorGjøsæter, Terje
dc.contributor.authorChen, Weiqin
dc.date.accessioned2020-04-02T22:43:44Z
dc.date.accessioned2020-04-07T17:33:55Z
dc.date.available2020-04-02T22:43:44Z
dc.date.available2020-04-07T17:33:55Z
dc.date.issued2019-07-03
dc.identifier.citationTunold S, Radianti J, Gjøsæter T, Chen W. Perceivability of Map Information for Disaster Situations for People with Low Vision. Lecture Notes in Computer Science (LNCS). 2019;11572 LNCS:342-352en
dc.identifier.issn0302-9743
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.urihttps://hdl.handle.net/10642/8393
dc.description.abstractDigital maps have become increasingly popular in disaster situation to provide overview of information. However, these maps have also created barriers for many people, particularly people with visual impairments. Existing research on accessible maps such as tactile and acoustic maps focuses on providing solutions for blind persons to be able to perceive the information digital maps present. For people with low vision, who often rely on magnifier, good contrast and good navigation support, current digital map solutions present many challenges. In this paper we have studied two types of digital maps and their related surrounding text in the home page of disaster applications. The study focused on perceivability of the information provided by the maps. To investigate this, we have adopted a mix-method approach and performed heuristic testing combined with expert testing by a user with low vision. Based on the evaluation we have made a number of recommendations to improve the perceivability, which can further enhance the accessibility of the maps.en
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.relation.ispartofUniversal Access in Human-Computer Interaction. Theory, Methods and Tools 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I
dc.relation.ispartofseriesLecture Notes in Artificial Intelligence;Volume 11572
dc.rightsThis is a post-peer-review, pre-copyedit version of an article published in Universal Access in Human-Computer Interaction. Theory, Methods and Tools 13th International Conference, UAHCI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Orlando, FL, USA, July 26–31, 2019, Proceedings, Part I, that is part of the Lecture Notes in Computer Science book series (LNCS, volume 11572). The final authenticated version is available online at: https://dx.doi.org/10.1007/978-3-030-23560-4_25 transport,en
dc.subjectMapsen
dc.subjectUniversal designsen
dc.subjectPerceivabilitiesen
dc.subjectEmergency managementen
dc.subjectLow visionsen
dc.titlePerceivability of Map Information for Disaster Situations for People with Low Visionen
dc.typeConference objecten
dc.date.updated2020-04-02T22:43:43Z
dc.description.versionacceptedVersionen
dc.identifier.doihttps://dx.doi.org/10.1007/978-3-030-23560-4_25
dc.identifier.cristin1721913
dc.source.journalLecture Notes in Computer Science (LNCS)


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