Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks

[EN] The recent popular game, Pokemon GO, created two symbiotic social networks by location-based mobile augmented reality (LMAR) technique. One is in the physical world among players, and another one is in the cyber world among players' avatars. To date, there is no study that has explored...

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Detalles Bibliográficos
Autores: Wang, Derek, Wu, Tingmin, Wen, Sheng, Liu, Donghai, Xiang, Yang, Zhou, Wanlei, Alelaiwi, Abdulhameed, Hassan Mohamed, Houcine|||0000-0002-2038-0587
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/147539
Acceso en línea:https://riunet.upv.es/handle/10251/147539
Access Level:acceso abierto
Palabra clave:Social network
Augmented reality
Pokemon GO
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
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spelling Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networksWang, DerekWu, TingminWen, ShengLiu, DonghaiXiang, YangZhou, WanleiAlelaiwi, AbdulhameedHassan Mohamed, Houcine|||0000-0002-2038-0587Social networkAugmented realityPokemon GOARQUITECTURA Y TECNOLOGIA DE COMPUTADORES[EN] The recent popular game, Pokemon GO, created two symbiotic social networks by location-based mobile augmented reality (LMAR) technique. One is in the physical world among players, and another one is in the cyber world among players' avatars. To date, there is no study that has explored the formation of each social network and their symbiosis. In this paper, we carried out a data-driven research on the Pokemon GO game to solve this problem. We accordingly organised the collection of two real datasets. For the first dataset, we designed a questionnaire to collect players' individual behaviours in Pokemon GO, and used maps of Melbourne (Australia) to track and record their usual playing areas. Based on the data that we collected, we modelled the formation of the symbiotic social networks in both physical world (i.e. for players) and cyber world (i.e. for avatars) as well as interactions between players and Pokemon GO elements (i.e. 'bridges' of the two worlds). By investigating the mechanism of network formation, we revealed the relatively weak correlation between the formation processes of the two networks. We further incorporated the real-world pedestrian dataset collected by sensors across Melbourne CBD into the study of their symbiosis. Based on the second dataset, we examined the changes of people's social behaviours in terms of most visited places. The results suggested that the existence of the cyber social network has reciprocally changed the structure of the symbiotic physical social network. (C) 2017 Elsevier B.V. All rights reserved.This research is partially supported by the Australian Research Council projects DP150103732, DP140103649, and LP140100816. The authors extend their appreciation to the International Scientific Partnership Program (ISPP) at King Saud University, Riyadh, Saudi Arabia for funding this work through the project No. ISPP#0069.ElsevierDepartamento de Informática de Sistemas y ComputadoresEscuela Técnica Superior de Ingeniería Aeroespacial y Diseño IndustrialInstituto Universitario de Automática e Informática IndustrialKing Saud University, Arabia SaudíRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-05-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/147539reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgricultural Research Council, Sudáfrica https://doi.org/10.13039/100007537 Discovery Projects DP140103649 Discovery Projects - Grant ID: DP140103649King Saud University, Arabia Saudí https://doi.org/10.13039/501100002383 ISPP0069Agricultural Research Council, Sudáfrica https://doi.org/10.13039/100007537 Discovery Projects DP150103732 Discovery Projects - Grant ID: DP150103732Agricultural Research Council, Sudáfrica https://doi.org/10.13039/100007537 Linkage Projects LP140100816 Linkage Projects - Grant ID: LP140100816open accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1475392026-06-13T07:49:27Z
dc.title.none.fl_str_mv Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
title Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
spellingShingle Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
Wang, Derek
Social network
Augmented reality
Pokemon GO
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
title_short Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
title_full Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
title_fullStr Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
title_full_unstemmed Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
title_sort Pokemon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
dc.creator.none.fl_str_mv Wang, Derek
Wu, Tingmin
Wen, Sheng
Liu, Donghai
Xiang, Yang
Zhou, Wanlei
Alelaiwi, Abdulhameed
Hassan Mohamed, Houcine|||0000-0002-2038-0587
author Wang, Derek
author_facet Wang, Derek
Wu, Tingmin
Wen, Sheng
Liu, Donghai
Xiang, Yang
Zhou, Wanlei
Alelaiwi, Abdulhameed
Hassan Mohamed, Houcine|||0000-0002-2038-0587
author_role author
author2 Wu, Tingmin
Wen, Sheng
Liu, Donghai
Xiang, Yang
Zhou, Wanlei
Alelaiwi, Abdulhameed
Hassan Mohamed, Houcine|||0000-0002-2038-0587
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Informática de Sistemas y Computadores
Escuela Técnica Superior de Ingeniería Aeroespacial y Diseño Industrial
Instituto Universitario de Automática e Informática Industrial
King Saud University, Arabia Saudí
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Social network
Augmented reality
Pokemon GO
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
topic Social network
Augmented reality
Pokemon GO
ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES
description [EN] The recent popular game, Pokemon GO, created two symbiotic social networks by location-based mobile augmented reality (LMAR) technique. One is in the physical world among players, and another one is in the cyber world among players' avatars. To date, there is no study that has explored the formation of each social network and their symbiosis. In this paper, we carried out a data-driven research on the Pokemon GO game to solve this problem. We accordingly organised the collection of two real datasets. For the first dataset, we designed a questionnaire to collect players' individual behaviours in Pokemon GO, and used maps of Melbourne (Australia) to track and record their usual playing areas. Based on the data that we collected, we modelled the formation of the symbiotic social networks in both physical world (i.e. for players) and cyber world (i.e. for avatars) as well as interactions between players and Pokemon GO elements (i.e. 'bridges' of the two worlds). By investigating the mechanism of network formation, we revealed the relatively weak correlation between the formation processes of the two networks. We further incorporated the real-world pedestrian dataset collected by sensors across Melbourne CBD into the study of their symbiosis. Based on the second dataset, we examined the changes of people's social behaviours in terms of most visited places. The results suggested that the existence of the cyber social network has reciprocally changed the structure of the symbiotic physical social network. (C) 2017 Elsevier B.V. All rights reserved.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-05-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/147539
url https://riunet.upv.es/handle/10251/147539
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agricultural Research Council, Sudáfrica https://doi.org/10.13039/100007537 Discovery Projects DP140103649 Discovery Projects - Grant ID: DP140103649
King Saud University, Arabia Saudí https://doi.org/10.13039/501100002383 ISPP0069
Agricultural Research Council, Sudáfrica https://doi.org/10.13039/100007537 Discovery Projects DP150103732 Discovery Projects - Grant ID: DP150103732
Agricultural Research Council, Sudáfrica https://doi.org/10.13039/100007537 Linkage Projects LP140100816 Linkage Projects - Grant ID: LP140100816
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,228081

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