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Road crossing behaviors of pedestrians in two different virtual reality environments

dc.contributor.authorAhmad, M. Asif
dc.contributor.authorCameirão, Mónica S.
dc.date.accessioned2024-07-08T13:55:01Z
dc.date.available2024-07-08T13:55:01Z
dc.date.issued2021
dc.description.abstractAbout 20% of all people killed on roads are pedestrians. Virtual Reality (VR) simulators can be used to train street crossing and improve pedestrian safety, but the use of this technology has some limitations that need to be addressed. Common issues are related to the ecological validity of the experience because of poor immersion, movement limitations, and lack of visual and audio effects. In addition, these simulators are often very expensive. To address this, we developed a pedestrian street-crossing simulation that can be delivered through two mediums, a low-cost CAVE (Cave Automatic Virtual Environment) or a Head-Mounted Display (HMD). These two environments provide a high immersive experience, simple architecture, and a lower cost of deployment. Following an independent samples design, 20 participants were randomly allocated to the CAVE or HMD group and performed a street-crossing task. We measured the percentage of collisions with vehicles and presence through the Witmer and Singer Presence Questionnaire. Our results show that the percentage of collisions was significantly higher in the HMD group. Presence scores were high for both groups, but not significantly different. These results can be used to inform the design of VR simulators for safe street-crossing.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAhmad, M. A., & Cameirão, M. S. (2021). Road crossing behaviors of pedestrians in two different virtual reality environments. in Proc. 13th Intl Conf. on Disability, Virtual Reality and Assoc. Technologies, P Gamito, D Brown, and S Koenig (Eds), pp. 114–121, Serpa, Portugal, 8-10 Sept. 2021.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/5734
dc.language.isoengpt_PT
dc.publisherUniversidade Lusófona de Humanidades e Tecnologias, Portugalpt_PT
dc.relationLaboratory for Robotics and Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectPedestrian safety simulatorpt_PT
dc.subjectVR environmentspt_PT
dc.subjectUser experiencept_PT
dc.subjectPedestrian behaviorspt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleRoad crossing behaviors of pedestrians in two different virtual reality environmentspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleLaboratory for Robotics and Engineering Systems
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50009%2F2019/PT
oaire.citation.conferencePlaceLisboa (Portugal)pt_PT
oaire.citation.endPage121pt_PT
oaire.citation.startPage114pt_PT
oaire.citation.titleProc. 13th Intl Conf. on Disability, Virtual Reality and Assoc. Technologies, P Gamito, D Brown, and S Koenig (Eds), Serpa, Portugal, 8-10 Sept. 2021.pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAsif
person.familyNameCameirão
person.givenNameMuhammad
person.givenNameMónica
person.identifier.ciencia-idCB16-8DF2-7AD5
person.identifier.ciencia-id0A12-4F21-0CC2
person.identifier.orcid0000-0002-9091-9381
person.identifier.orcid0000-0002-5352-0128
person.identifier.ridC-8675-2018
person.identifier.scopus-author-id21740694600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationa42d4efc-098b-4599-98c8-695e70a03865
relation.isAuthorOfPublication644f9f6a-81be-4b72-9ded-6eb1b8e251f4
relation.isAuthorOfPublication.latestForDiscoverya42d4efc-098b-4599-98c8-695e70a03865
relation.isProjectOfPublicationeda3c844-853e-4c97-83da-99235180d98c
relation.isProjectOfPublication.latestForDiscoveryeda3c844-853e-4c97-83da-99235180d98c

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