Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence

Detalhes bibliográficos
Autor(a) principal: Carvalho, Vítor Marques
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UNIFOR
Texto Completo: https://biblioteca.sophia.com.br/terminalri/9575/acervo/detalhe/582300
Resumo: This Master’s dissertation provides a comprehensive and complex synthesis of the field of voice interaction in digital games, addressing its relevance in both academic and industrial contexts to produce more immersive and engaging experiences. The study highlights the challenges faced by this mode of interaction over the years and the technological evolution that followed several attempts to establish a profitable product in the gaming market. The research presents evidence of the perception of a highly specialized audience on the different modalities of voice interaction in digital games, seeking to draw a comparative parallel between the state of the art and current reality. These findings can provide tangible benefits to improve gameplay experiences and reduce disruptive behaviors in academia and the gaming market. Additionally, this work also highlights the influence and particularities of different scenarios of voice interaction on the engagement and experience of human participants in this study, as well as their motivations and limitations regarding current technology. Furthermore, it presents a comparative study of the impressions and perspectives on voice interaction in digital games deriving from different AIs (ChatGPT, Bing Chat, and Google Bard). In this way, the opinions of the AIs and human participants were successfully contrasted, providing a more comprehensive understanding of the possible advantages and challenges of voice interaction in this context, additionally, projecting future evolution scenarios that extend beyond entertainment, for example, into domains such as health. Based on this comprehensive comparative study, opportunities for improving voice interaction in digital games were identified that anticipate future trends in this area. Keywords: Voice Interaction. Digital Games. Human Participants. Generative Artificial Intelligence
id UFOR_66357d78f06f5c8d2c0461d0e34b3c28
oai_identifier_str oai::582300
network_acronym_str UFOR
network_name_str Biblioteca Digital de Teses e Dissertações da UNIFOR
repository_id_str
spelling Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligenceInteligência artificialJogos digitais (Design)Interação homem-máquinaThis Master’s dissertation provides a comprehensive and complex synthesis of the field of voice interaction in digital games, addressing its relevance in both academic and industrial contexts to produce more immersive and engaging experiences. The study highlights the challenges faced by this mode of interaction over the years and the technological evolution that followed several attempts to establish a profitable product in the gaming market. The research presents evidence of the perception of a highly specialized audience on the different modalities of voice interaction in digital games, seeking to draw a comparative parallel between the state of the art and current reality. These findings can provide tangible benefits to improve gameplay experiences and reduce disruptive behaviors in academia and the gaming market. Additionally, this work also highlights the influence and particularities of different scenarios of voice interaction on the engagement and experience of human participants in this study, as well as their motivations and limitations regarding current technology. Furthermore, it presents a comparative study of the impressions and perspectives on voice interaction in digital games deriving from different AIs (ChatGPT, Bing Chat, and Google Bard). In this way, the opinions of the AIs and human participants were successfully contrasted, providing a more comprehensive understanding of the possible advantages and challenges of voice interaction in this context, additionally, projecting future evolution scenarios that extend beyond entertainment, for example, into domains such as health. Based on this comprehensive comparative study, opportunities for improving voice interaction in digital games were identified that anticipate future trends in this area. Keywords: Voice Interaction. Digital Games. Human Participants. Generative Artificial IntelligenceEsta dissertação de mestrado apresenta uma síntese abrangente e complexa da área de interação por voz em jogos digitais, abordando sua relevância tanto no âmbito acadêmico quanto industrial para produzir experiências mais imersivas e engajadoras. O estudo destaca os desafios enfrentados pela modalidade de interação ao longo dos anos e a evolução tecnológica que sucedeu várias tentativas de estabelecer um produto rentável no mercado de jogos. A pesquisa apresenta evidências da percepção de um público altamente especializado sobre as diferentes modalidades de interação por voz em jogos digitais, buscando traçar um paralelo comparativo entre o estadoda-arte e a realidade atual. Essas evidências podem fornecer benefícios tangíveis para melhorar a experiência de jogo e reduzir comportamentos disruptivos, tanto no âmbito acadêmico quanto no mercado de jogos. Adicionalmente, este trabalho também evidencia a influência e particularidades de diferentes cenários de interação por voz no engajamento e experiência dos participantes humanos deste estudo, bem como suas motivações e limitações em relação à tecnologia atual. Além disso, apresenta um estudo comparativo das impressões e perspectivas sobre a interação por voz em jogos digitais sob a perspectiva de diferentes IAs generativas (ChatGPT, Bing Chat e Google Bard). Desta forma, opiniões das IAs e dos participantes humanos foram contrastadas com sucesso, provendo uma compreensão mais abrangente das possíveis vantagens e desafios da interação por voz nos contextos apresentados, adicionalmente, projetando cenários futuros de evolução que vão além do entretenimento, por exemplo, em domínios como a saúde. Com base nesse amplo estudo comparativo, identificou-se oportunidades para o aprimoramento da interação por voz em jogos digitais que antecipam tendências futuras nessa área. Palavras-chave: Interação por Voz. Jogos Digitais. Participantes Humanos. Inteligência Artificial Generativa.A dissertação foi enviada com autorização e certificação via CI 80575/23 em 07/11/2023Rodrigues, Maria Andreia FormicoCarvalho, Windson Viana dePinheiro, Vladia Celia MonteiroUniversidade de Fortaleza. Programa de Pós-Graduação em Informática AplicadaCarvalho, Vítor Marques2023info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdf86f.https://biblioteca.sophia.com.br/terminalri/9575/acervo/detalhe/582300https://uol.unifor.br/auth-sophia/exibicao/30848porreponame:Biblioteca Digital de Teses e Dissertações da UNIFORinstname:Universidade de Fortaleza (UNIFOR)instacron:UNIFORinfo:eu-repo/semantics/openAccess2023-11-09T07:29:39Zoai::582300Biblioteca Digital de Teses e Dissertaçõeshttps://www.unifor.br/bdtdONGhttp://dspace.unifor.br/oai/requestbib@unifor.br||bib@unifor.bropendoar:2023-11-09T07:29:39Biblioteca Digital de Teses e Dissertações da UNIFOR - Universidade de Fortaleza (UNIFOR)false
dc.title.none.fl_str_mv Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
title Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
spellingShingle Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
Carvalho, Vítor Marques
Inteligência artificial
Jogos digitais (Design)
Interação homem-máquina
title_short Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
title_full Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
title_fullStr Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
title_full_unstemmed Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
title_sort Impressions of voice interaction in digital games: a comparative study between humans and generative artificial intelligence
author Carvalho, Vítor Marques
author_facet Carvalho, Vítor Marques
author_role author
dc.contributor.none.fl_str_mv Rodrigues, Maria Andreia Formico
Carvalho, Windson Viana de
Pinheiro, Vladia Celia Monteiro
Universidade de Fortaleza. Programa de Pós-Graduação em Informática Aplicada
dc.contributor.author.fl_str_mv Carvalho, Vítor Marques
dc.subject.por.fl_str_mv Inteligência artificial
Jogos digitais (Design)
Interação homem-máquina
topic Inteligência artificial
Jogos digitais (Design)
Interação homem-máquina
description This Master’s dissertation provides a comprehensive and complex synthesis of the field of voice interaction in digital games, addressing its relevance in both academic and industrial contexts to produce more immersive and engaging experiences. The study highlights the challenges faced by this mode of interaction over the years and the technological evolution that followed several attempts to establish a profitable product in the gaming market. The research presents evidence of the perception of a highly specialized audience on the different modalities of voice interaction in digital games, seeking to draw a comparative parallel between the state of the art and current reality. These findings can provide tangible benefits to improve gameplay experiences and reduce disruptive behaviors in academia and the gaming market. Additionally, this work also highlights the influence and particularities of different scenarios of voice interaction on the engagement and experience of human participants in this study, as well as their motivations and limitations regarding current technology. Furthermore, it presents a comparative study of the impressions and perspectives on voice interaction in digital games deriving from different AIs (ChatGPT, Bing Chat, and Google Bard). In this way, the opinions of the AIs and human participants were successfully contrasted, providing a more comprehensive understanding of the possible advantages and challenges of voice interaction in this context, additionally, projecting future evolution scenarios that extend beyond entertainment, for example, into domains such as health. Based on this comprehensive comparative study, opportunities for improving voice interaction in digital games were identified that anticipate future trends in this area. Keywords: Voice Interaction. Digital Games. Human Participants. Generative Artificial Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023
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 https://biblioteca.sophia.com.br/terminalri/9575/acervo/detalhe/582300
url https://biblioteca.sophia.com.br/terminalri/9575/acervo/detalhe/582300
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://uol.unifor.br/auth-sophia/exibicao/30848
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
86f.
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UNIFOR
instname:Universidade de Fortaleza (UNIFOR)
instacron:UNIFOR
instname_str Universidade de Fortaleza (UNIFOR)
instacron_str UNIFOR
institution UNIFOR
reponame_str Biblioteca Digital de Teses e Dissertações da UNIFOR
collection Biblioteca Digital de Teses e Dissertações da UNIFOR
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da UNIFOR - Universidade de Fortaleza (UNIFOR)
repository.mail.fl_str_mv bib@unifor.br||bib@unifor.br
_version_ 1800408713659416576

Registros relacionados