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A Metric-Driven Approach for Enhancing Scientific Audiovisual Interfaces

dc.contributor.authorMesquita, Cintia Braz
dc.contributor.authorSantos, Adriana Barbosa [UNESP]
dc.contributor.authorGratão de Souza, Rogéria Cristiane [UNESP]
dc.date.accessioned2026-06-25T17:27:50Z
dc.date.issued2025-07-09
dc.description.abstractThe integration of audiovisual content has significantly enhanced the accessibility and engagement of scientific communication. In recent years, platforms for scientific communication have expanded, enabling broader reach, clearer explanations of complex topics, and greater recognition for researchers. To ensure an optimal user experience on both web platforms and mobile applications, accessible interfaces must be prioritized. Establishing user experience metrics is crucial for identifying potential shortcomings in current solutions. This study introduces and evaluates 26 metrics designed to enhance user experience. These metrics are grouped into high, medium, and low-priority levels, helping to identify critical areas for interface design improvements. An empirical evaluation was conducted across five web platforms and five mobile applications. The results revealed that the JoVE and Latest Thinking platforms offer the most adequate interfaces, while Wonder Science appears as the top-performing mobile application. The findings provide not only a comprehensive framework focused on effectiveness, efficiency, and user satisfaction to ensure the effective dissemination of scientific knowledge through audiovisual media, but also can be used as a guide for designing interfaces that prioritize user experience. Additionally, the study stands out that, despite recent advances, accessibility remains an underestimated aspect on platforms and applications for audiovisual scientific communication, underscoring the need for further focus on inclusive design.
dc.description.affiliationUNESP – São Paulo State University, Rua Cristóvão Colombo, 15054-000, São José do Rio Preto, São Paulo, Brazil
dc.description.affiliationUnespUNESP – São Paulo State University, Rua Cristóvão Colombo, 15054-000, São José do Rio Preto, São Paulo, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1190642746
dc.identifier.dimensionspub.1190642746
dc.identifier.doi10.1007/s42979-025-04140-9
dc.identifier.issn2662-995X
dc.identifier.issn2661-8907
dc.identifier.orcid0009-0006-1822-6018
dc.identifier.orcid0000-0003-4076-2475
dc.identifier.orcid0000-0002-7449-9022
dc.identifier.urihttps://hdl.handle.net/11449/326631
dc.publisherSpringer Nature
dc.relation.ispartofSN Computer Science; n. 6; v. 6; p. 615
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titleA Metric-Driven Approach for Enhancing Scientific Audiovisual Interfaces
dc.typeArtigopt
dspace.entity.typePublication
relation.isOrgUnitOfPublication43c38943-bd6f-4fb6-a9a5-8482a1f632c0
relation.isOrgUnitOfPublication.latestForDiscovery43c38943-bd6f-4fb6-a9a5-8482a1f632c0
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Letras e Ciências Exatas, São José do Rio Pretopt

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