dc.contributor.author | Tunold, Siv | |
dc.contributor.author | Radianti, Jaziar | |
dc.contributor.author | Gjøsæter, Terje | |
dc.contributor.author | Chen, Weiqin | |
dc.date.accessioned | 2020-04-02T22:43:44Z | |
dc.date.accessioned | 2020-04-07T17:33:55Z | |
dc.date.available | 2020-04-02T22:43:44Z | |
dc.date.available | 2020-04-07T17:33:55Z | |
dc.date.issued | 2019-07-03 | |
dc.identifier.citation | Tunold 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:342-352 | en |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | https://hdl.handle.net/10642/8393 | |
dc.description.abstract | Digital 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.iso | en | en |
dc.publisher | Springer Verlag | en |
dc.relation.ispartof | 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 | |
dc.relation.ispartofseries | Lecture Notes in Artificial Intelligence;Volume 11572 | |
dc.rights | This 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.subject | Maps | en |
dc.subject | Universal designs | en |
dc.subject | Perceivabilities | en |
dc.subject | Emergency management | en |
dc.subject | Low visions | en |
dc.title | Perceivability of Map Information for Disaster Situations for People with Low Vision | en |
dc.type | Conference object | en |
dc.date.updated | 2020-04-02T22:43:43Z | |
dc.description.version | acceptedVersion | en |
dc.identifier.doi | https://dx.doi.org/10.1007/978-3-030-23560-4_25 | |
dc.identifier.cristin | 1721913 | |
dc.source.journal | Lecture Notes in Computer Science (LNCS) | |