1. ZHAW digitalcollection
  2. School of Engineering
  3. Publikationen
  4. Publikationen School of Engineering
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dc.contributor.authorWitzel, Lina-
dc.contributor.authorChhong, Sophy-
dc.contributor.authorHutter, Hans-Peter-
dc.contributor.authorDarvishy, Alireza-
dc.date.accessioned2023-04-15T12:51:17Z-
dc.date.available2023-04-15T12:51:17Z-
dc.date.issued2023-
dc.identifier.isbn978-1-958651-46-9de_CH
dc.identifier.issn2771-0718de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/27606-
dc.description.abstractCollecting accurate accessibility data systematically for pathways is a time-consuming task that typically requires expert knowledge. However, it is a prerequisite to enable reliable and trustworthy accessible routing. The development of Capture & Go, a mobile application to report barriers for people with mobility impairments, facilitates the on-site collection of crowdsourced accessibility data. Several other mapping tools contain accessibility data, although they have not been developed explicitly for this purpose. In contrast to Capture & Go, they allow data collection to be performed remotely. Using quantitative and qualitative approaches, we analyzed several such applications and examined their efficiency in capturing barriers in a case study of District 1 in Zurich. The remotely collected data was compared to the data of the barriers captured on-site using Capture & Go. Overall, the remote tools were less efficient than Capture & Go in terms of effort, coverage, and accuracy of the barriers, as well as usability.de_CH
dc.language.isoende_CH
dc.publisherAHFE Internationalde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAccessibilityde_CH
dc.subjectBarrierde_CH
dc.subjectCrowdsourcingde_CH
dc.subjectData collectionde_CH
dc.subjectEmpirical studyde_CH
dc.subjectMobility impairmentde_CH
dc.subjectOn-sitede_CH
dc.subjectPerformancede_CH
dc.subjectRemotede_CH
dc.subjectRoutingde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.titleOn-site and remote crowdsourcing of accessibility data for people with mobility impairments : a case study in Zurich’s District 1de_CH
dc.typeKonferenz: Paperde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Informatik (InIT)de_CH
dc.identifier.doi10.54941/ahfe1002949de_CH
zhaw.conference.details9th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications (IHIET-AI), Lausanne, Switzerland, 13-15 April 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end253de_CH
zhaw.pages.start242de_CH
zhaw.parentwork.editorAhram, Tared-
zhaw.parentwork.editorTaiar, Redha-
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume70de_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.title.proceedingsHuman Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applicationsde_CH
zhaw.webfeedHuman Information Interactionde_CH
zhaw.webfeedHuman-Centered Computingde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Witzel, L., Chhong, S., Hutter, H.-P., & Darvishy, A. (2023). On-site and remote crowdsourcing of accessibility data for people with mobility impairments : a case study in Zurich’s District 1 [Conference paper]. In T. Ahram & R. Taiar (Eds.), Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications (Vol. 70, pp. 242–253). AHFE International. https://doi.org/10.54941/ahfe1002949
Witzel, L. et al. (2023) ‘On-site and remote crowdsourcing of accessibility data for people with mobility impairments : a case study in Zurich’s District 1’, in T. Ahram and R. Taiar (eds) Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications. AHFE International, pp. 242–253. Available at: https://doi.org/10.54941/ahfe1002949.
L. Witzel, S. Chhong, H.-P. Hutter, and A. Darvishy, “On-site and remote crowdsourcing of accessibility data for people with mobility impairments : a case study in Zurich’s District 1,” in Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications, 2023, vol. 70, pp. 242–253. doi: 10.54941/ahfe1002949.
WITZEL, Lina, Sophy CHHONG, Hans-Peter HUTTER und Alireza DARVISHY, 2023. On-site and remote crowdsourcing of accessibility data for people with mobility impairments : a case study in Zurich’s District 1. In: Tared AHRAM und Redha TAIAR (Hrsg.), Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications. Conference paper. AHFE International. 2023. S. 242–253. ISBN 978-1-958651-46-9
Witzel, Lina, Sophy Chhong, Hans-Peter Hutter, and Alireza Darvishy. 2023. “On-Site and Remote Crowdsourcing of Accessibility Data for People with Mobility Impairments : A Case Study in Zurich’s District 1.” Conference paper. In Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications, edited by Tared Ahram and Redha Taiar, 70:242–53. AHFE International. https://doi.org/10.54941/ahfe1002949.
Witzel, Lina, et al. “On-Site and Remote Crowdsourcing of Accessibility Data for People with Mobility Impairments : A Case Study in Zurich’s District 1.” Human Interaction and Emerging Technologies (IHIET-AI 2023): Artificial Intelligence and Future Applications, edited by Tared Ahram and Redha Taiar, vol. 70, AHFE International, 2023, pp. 242–53, https://doi.org/10.54941/ahfe1002949.


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