Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Tipo de documento: | Tese |
Idioma: | eng |
Título da fonte: | Biblioteca Digital de Teses e Dissertações da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/49756 |
Resumo: | Embodied Conversational Agents (ECAs) are intelligent software entities with an embodiment used to communicate with users, using natural language. Their purpose is to exhibit the same properties as humans in face-to-face conversation, including the ability to produce and respond to verbal and nonverbal communication. Researchers in the field of ECAs try to create agents that can be more natural, believable and easy to use. Designing an ECA requires understanding that manner, personality, emotion, and appearance are very important issues to be considered. In this thesis, we are interested in increasing believability of ECAs by placing personality at the heart of the human-agent verbal interaction. We propose a model relating personality facets and hidden communication goals that can influence ECA behaviors. Moreover, we apply our model in agents that interact in a puzzle game application. We develop five distinct personality oriented agents using an expressive communication language and a plan-based BDI approach for modeling and managing dialogue according to our proposed model. In summary, we present and test an innovative approach to model mental aspects of ECAs trying to increase their believability and to enhance human-agent affective communication. With this research, we hope to improve the understanding on how ECAs with expressive and affective characteristics can establish and maintain long-term human-agent relationships. |
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Leonhardt, Michelle DeniseVicari, Rosa MariaPesty, Sylvie2012-06-23T01:32:56Z2012http://hdl.handle.net/10183/49756000835682Embodied Conversational Agents (ECAs) are intelligent software entities with an embodiment used to communicate with users, using natural language. Their purpose is to exhibit the same properties as humans in face-to-face conversation, including the ability to produce and respond to verbal and nonverbal communication. Researchers in the field of ECAs try to create agents that can be more natural, believable and easy to use. Designing an ECA requires understanding that manner, personality, emotion, and appearance are very important issues to be considered. In this thesis, we are interested in increasing believability of ECAs by placing personality at the heart of the human-agent verbal interaction. We propose a model relating personality facets and hidden communication goals that can influence ECA behaviors. Moreover, we apply our model in agents that interact in a puzzle game application. We develop five distinct personality oriented agents using an expressive communication language and a plan-based BDI approach for modeling and managing dialogue according to our proposed model. In summary, we present and test an innovative approach to model mental aspects of ECAs trying to increase their believability and to enhance human-agent affective communication. With this research, we hope to improve the understanding on how ECAs with expressive and affective characteristics can establish and maintain long-term human-agent relationships.application/pdfengInteligência artificialMicroeletrônicaAmbiente : AprendizagemTutores inteligentesArtificial intelligenceCognitive systemsEmbodied conversational agentsPersonality traitsEnhancing affective communication in embodied conversational agents through personality-based hidden conversational goalsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisUniversidade Federal do Rio Grande do SulInstituto de InformáticaPrograma de Pós-Graduação em ComputaçãoPorto Alegre, BR-RS2012doutoradoinfo:eu-repo/semantics/openAccessreponame:Biblioteca Digital de Teses e Dissertações da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT000835682.pdf.txt000835682.pdf.txtExtracted Texttext/plain319139http://www.lume.ufrgs.br/bitstream/10183/49756/2/000835682.pdf.txtd43d42eb45c09e0619d24a4a389ee835MD52ORIGINAL000835682.pdf000835682.pdfTexto completo (inglês)application/pdf6273157http://www.lume.ufrgs.br/bitstream/10183/49756/1/000835682.pdfb8c4ff06a6f27fe080500bc3e4ee3cddMD51THUMBNAIL000835682.pdf.jpg000835682.pdf.jpgGenerated Thumbnailimage/jpeg1049http://www.lume.ufrgs.br/bitstream/10183/49756/3/000835682.pdf.jpg2476d72277ef08d3c4d75e6f8a2a4788MD5310183/497562021-05-07 04:58:15.90263oai:www.lume.ufrgs.br:10183/49756Biblioteca Digital de Teses e Dissertaçõeshttps://lume.ufrgs.br/handle/10183/2PUBhttps://lume.ufrgs.br/oai/requestlume@ufrgs.br||lume@ufrgs.bropendoar:18532021-05-07T07:58:15Biblioteca Digital de Teses e Dissertações da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
title |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
spellingShingle |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals Leonhardt, Michelle Denise Inteligência artificial Microeletrônica Ambiente : Aprendizagem Tutores inteligentes Artificial intelligence Cognitive systems Embodied conversational agents Personality traits |
title_short |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
title_full |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
title_fullStr |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
title_full_unstemmed |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
title_sort |
Enhancing affective communication in embodied conversational agents through personality-based hidden conversational goals |
author |
Leonhardt, Michelle Denise |
author_facet |
Leonhardt, Michelle Denise |
author_role |
author |
dc.contributor.author.fl_str_mv |
Leonhardt, Michelle Denise |
dc.contributor.advisor1.fl_str_mv |
Vicari, Rosa Maria |
dc.contributor.advisor-co1.fl_str_mv |
Pesty, Sylvie |
contributor_str_mv |
Vicari, Rosa Maria Pesty, Sylvie |
dc.subject.por.fl_str_mv |
Inteligência artificial Microeletrônica Ambiente : Aprendizagem Tutores inteligentes |
topic |
Inteligência artificial Microeletrônica Ambiente : Aprendizagem Tutores inteligentes Artificial intelligence Cognitive systems Embodied conversational agents Personality traits |
dc.subject.eng.fl_str_mv |
Artificial intelligence Cognitive systems Embodied conversational agents Personality traits |
description |
Embodied Conversational Agents (ECAs) are intelligent software entities with an embodiment used to communicate with users, using natural language. Their purpose is to exhibit the same properties as humans in face-to-face conversation, including the ability to produce and respond to verbal and nonverbal communication. Researchers in the field of ECAs try to create agents that can be more natural, believable and easy to use. Designing an ECA requires understanding that manner, personality, emotion, and appearance are very important issues to be considered. In this thesis, we are interested in increasing believability of ECAs by placing personality at the heart of the human-agent verbal interaction. We propose a model relating personality facets and hidden communication goals that can influence ECA behaviors. Moreover, we apply our model in agents that interact in a puzzle game application. We develop five distinct personality oriented agents using an expressive communication language and a plan-based BDI approach for modeling and managing dialogue according to our proposed model. In summary, we present and test an innovative approach to model mental aspects of ECAs trying to increase their believability and to enhance human-agent affective communication. With this research, we hope to improve the understanding on how ECAs with expressive and affective characteristics can establish and maintain long-term human-agent relationships. |
publishDate |
2012 |
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2012 |
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