Smart content selection for public displays in ambient intelligence environments
| Main Author: | |
|---|---|
| Publication Date: | 2013 |
| Other Authors: | |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/1822/26239 |
Summary: | A public display that is able to present the right information at the right time is a very compelling concept. However, realising or even approaching this ability to autonomously select appropriate content based on some interpretation of the surrounding social context represents a major challenge. This article provides an overview of the key challenges involved and an exploration of some of the main alternatives available. It also describes a novel place-based content adaptation system that autonomously selects from web sources the content deemed more relevant according to a dynamic place model. This model is based on a tag cloud that combines content suggestions expressed by multiple place visitors with those expressed by the place owner. Evaluation results have shown that a place tag cloud can provide a valuable approach to this issue and that people recognize and understand the sensitivity of the system to their demands. |
| id |
RCAP_a12d707580f18873f76a2999598db73c |
|---|---|
| oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/26239 |
| network_acronym_str |
RCAP |
| network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| repository_id_str |
https://opendoar.ac.uk/repository/7160 |
| spelling |
Smart content selection for public displays in ambient intelligence environmentsAmbient intelligencePublic displaysContext-awarenessRecommender systemsHuman-centredUbiquitous computingScience & TechnologyA public display that is able to present the right information at the right time is a very compelling concept. However, realising or even approaching this ability to autonomously select appropriate content based on some interpretation of the surrounding social context represents a major challenge. This article provides an overview of the key challenges involved and an exploration of some of the main alternatives available. It also describes a novel place-based content adaptation system that autonomously selects from web sources the content deemed more relevant according to a dynamic place model. This model is based on a tag cloud that combines content suggestions expressed by multiple place visitors with those expressed by the place owner. Evaluation results have shown that a place tag cloud can provide a valuable approach to this issue and that people recognize and understand the sensitivity of the system to their demands.FCT -Fuel Cell Technologies Program(SFRH/BD/31292/2006)IGI GlobalUniversidade do MinhoRibeiro, FernandoJosé, Rui20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/26239eng1941-623710.4018/jaci.2013040103info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:24:37Zoai:repositorium.sdum.uminho.pt:1822/26239Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:52:29.928720Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Smart content selection for public displays in ambient intelligence environments |
| title |
Smart content selection for public displays in ambient intelligence environments |
| spellingShingle |
Smart content selection for public displays in ambient intelligence environments Ribeiro, Fernando Ambient intelligence Public displays Context-awareness Recommender systems Human-centred Ubiquitous computing Science & Technology |
| title_short |
Smart content selection for public displays in ambient intelligence environments |
| title_full |
Smart content selection for public displays in ambient intelligence environments |
| title_fullStr |
Smart content selection for public displays in ambient intelligence environments |
| title_full_unstemmed |
Smart content selection for public displays in ambient intelligence environments |
| title_sort |
Smart content selection for public displays in ambient intelligence environments |
| author |
Ribeiro, Fernando |
| author_facet |
Ribeiro, Fernando José, Rui |
| author_role |
author |
| author2 |
José, Rui |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Universidade do Minho |
| dc.contributor.author.fl_str_mv |
Ribeiro, Fernando José, Rui |
| dc.subject.por.fl_str_mv |
Ambient intelligence Public displays Context-awareness Recommender systems Human-centred Ubiquitous computing Science & Technology |
| topic |
Ambient intelligence Public displays Context-awareness Recommender systems Human-centred Ubiquitous computing Science & Technology |
| description |
A public display that is able to present the right information at the right time is a very compelling concept. However, realising or even approaching this ability to autonomously select appropriate content based on some interpretation of the surrounding social context represents a major challenge. This article provides an overview of the key challenges involved and an exploration of some of the main alternatives available. It also describes a novel place-based content adaptation system that autonomously selects from web sources the content deemed more relevant according to a dynamic place model. This model is based on a tag cloud that combines content suggestions expressed by multiple place visitors with those expressed by the place owner. Evaluation results have shown that a place tag cloud can provide a valuable approach to this issue and that people recognize and understand the sensitivity of the system to their demands. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013 2013-01-01T00:00:00Z |
| dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/26239 |
| url |
http://hdl.handle.net/1822/26239 |
| dc.language.iso.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
1941-6237 10.4018/jaci.2013040103 |
| dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
IGI Global |
| publisher.none.fl_str_mv |
IGI Global |
| dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
| instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
| instacron_str |
RCAAP |
| institution |
RCAAP |
| reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
| repository.mail.fl_str_mv |
info@rcaap.pt |
| _version_ |
1833595594762878976 |