Using map-augmented reality panoramic scenes (ARPS) for forced migrants

Bibliographic Details
Main Author: Kochar, Apurva Anil
Publication Date: 2017
Format: Master thesis
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/10362/33794
Summary: Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
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spelling Using map-augmented reality panoramic scenes (ARPS) for forced migrantsForced MigrantsPedestrian NavigationLocation-BasedDissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial TechnologiesPedestrian Navigation can help greatly in spatial knowledge acquisition. Forced migrants (i.e. refugees and asylum seekers) have the need of familiarizing at a fast pace with their new resettlements. This masters thesis studied the e ect of an alternative way of conveying route directions to the Forced Migrants. It was done by adding Location-Based Augmented Reality at decision points on a 2D Map route guidance system. It aimed to compare this interface with traditional 2D Maps for landmark and route knowledge acquisition & ease in navigation. A user study with ten forced immigrants was conducted in the city of M unster, Germany to understand the navigation experience with the two interfaces. The results showed better landmark and spatial knowledge attainment using the interface with Augmented Reality. Also, participants found their way around more easily with this interface.Degbelo, AuriolGould, MichaelDuarte, Ana Maria BustamanteRUNKochar, Apurva Anil2018-04-04T15:52:22Z2017-02-032017-02-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/33794TID:201893975enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:18:33Zoai:run.unl.pt:10362/33794Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:04.815917Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Using map-augmented reality panoramic scenes (ARPS) for forced migrants
title Using map-augmented reality panoramic scenes (ARPS) for forced migrants
spellingShingle Using map-augmented reality panoramic scenes (ARPS) for forced migrants
Kochar, Apurva Anil
Forced Migrants
Pedestrian Navigation
Location-Based
title_short Using map-augmented reality panoramic scenes (ARPS) for forced migrants
title_full Using map-augmented reality panoramic scenes (ARPS) for forced migrants
title_fullStr Using map-augmented reality panoramic scenes (ARPS) for forced migrants
title_full_unstemmed Using map-augmented reality panoramic scenes (ARPS) for forced migrants
title_sort Using map-augmented reality panoramic scenes (ARPS) for forced migrants
author Kochar, Apurva Anil
author_facet Kochar, Apurva Anil
author_role author
dc.contributor.none.fl_str_mv Degbelo, Auriol
Gould, Michael
Duarte, Ana Maria Bustamante
RUN
dc.contributor.author.fl_str_mv Kochar, Apurva Anil
dc.subject.por.fl_str_mv Forced Migrants
Pedestrian Navigation
Location-Based
topic Forced Migrants
Pedestrian Navigation
Location-Based
description Dissertation submitted in partial fulfilment of the requirements for the degree of Master of Science in Geospatial Technologies
publishDate 2017
dc.date.none.fl_str_mv 2017-02-03
2017-02-03T00:00:00Z
2018-04-04T15:52:22Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/33794
TID:201893975
url http://hdl.handle.net/10362/33794
identifier_str_mv TID:201893975
dc.language.iso.fl_str_mv eng
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