Logo do repositório
 
Publicação

The author’s journey—understanding and Improving the authoring process of theory-driven socially intelligent agents

2025-04-09Artigo científico Acesso aberto
Ver registo simples
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorGuimarães, Manuel
dc.contributor.authorCampos, Joana
dc.contributor.authorSantos, Pedro A.
dc.contributor.authorDias, João
dc.contributor.authorPrada, Rui
dc.date.accessioned2026-04-17T12:27:21Z
dc.date.available2026-04-17T12:27:21Z
dc.date.issued2025-04-09
dc.description.abstractState-of-the-art agent-modelling tools support the creation of powerful Socially Intelligent Agents (SIAs) capable of engaging in social interactions with participants in various roles and environments. However, their deployment demands a labourious authoring task as it is necessary to manually define behaviour rules and create content for different interaction scenarios. While Socially Intelligent Agents (SIAs) research has centred on the user experience, we shift focus to the authors. To understand the challenges faced by authors who create these agents, we performed an innovative analysis of the authoring experience in modern agent modelling tools. One key finding is that, while SIA concepts are generally understandable, emotional-based concepts are not as easily comprehended or used by authors. We propose a hybrid solution approach that culminated in the development of Authoring-Assisted FAtiMA-Toolkit. The augmented agent modelling tool incorporates a data-driven Authoring Assistant to boost author productivity while promoting transparency and authorial control. To evaluate the impact of this framework on the authoring experience, we conducted a user study. Results showed that authors using the Authoring-Assisted FAtiMA-Toolkit were on average able to create more SIA-related content in less time. Our findings suggest that data-augmented, theory-grounded agent modelling tools can support the development of affective social agents by reducing the authoring burden without sacrificing the framework’s clarity or the authors’ control over the content.eng
dc.description.sponsorshipSLICE PTDC/CCICOM/ 30787/2017
dc.identifier.doi10.1145/3711672
dc.identifier.eissn2160-6463
dc.identifier.issn2160-6455
dc.identifier.urihttp://hdl.handle.net/10400.1/28710
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAssociation for Computing Machinery (ACM)
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationSocial Learning for Intelligent Characters
dc.relation.ispartofACM Transactions on Interactive Intelligent Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectIntelligent agents
dc.subjectAffective computing
dc.subjectCognitive architecture
dc.subjectEmotions
dc.subjectSocial robot
dc.titleThe author’s journey—understanding and Improving the authoring process of theory-driven socially intelligent agentseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04326/2020
oaire.awardNumberUIDP/04326/2020
oaire.awardNumberLA/P/0101/2020
oaire.awardNumberPTDC/CCI-COM/30787/2017
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleSocial Learning for Intelligent Characters
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017/PTDC%2FCCI-COM%2F30787%2F2017/PT
oaire.citation.issue2
oaire.citation.startPage8
oaire.citation.titleACM Transactions on Interactive Intelligent Systems
oaire.citation.volume15
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso para Financiamento de Projetos de Investigação Científica e Desenvolvimento Tecnológico em Todos os Domínios Científicos - 2017
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameDias
person.givenNameJoão
person.identifier.ciencia-id541C-36A9-F1A0
person.identifier.orcid0000-0002-1653-1821
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication66c729e3-99f2-4ddc-8da4-7c66e590800b
relation.isAuthorOfPublication.latestForDiscovery66c729e3-99f2-4ddc-8da4-7c66e590800b
relation.isProjectOfPublicationfafa76a6-2cd2-4a6d-a3c9-772f34d3b91f
relation.isProjectOfPublication15f91d45-e070-47d8-b6b8-efd4de31d9a8
relation.isProjectOfPublication794d4c77-c731-471e-bc96-5a41dcd3d872
relation.isProjectOfPublication236463b2-7173-42db-a836-b76bd481336a
relation.isProjectOfPublication.latestForDiscoveryfafa76a6-2cd2-4a6d-a3c9-772f34d3b91f

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
3711672.pdf
Tamanho:
94.74 MB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
3.46 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

FCT2-Artigos (em revistas ou actas indexadas)