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dc.contributor.author
Díaz Ceñera, Mario
dc.contributor.author
Grigera, Julián
dc.contributor.author
Espada, Jordán Pascual
dc.date.available
2024-07-12T10:52:18Z
dc.date.issued
2024-12
dc.identifier.citation
Díaz Ceñera, Mario; Grigera, Julián; Espada, Jordán Pascual; Enhancing data tables user experience via automated adaptations; Pergamon-Elsevier Science Ltd; Expert Systems with Applications; 255; 12-2024; 1-13
dc.identifier.issn
0957-4174
dc.identifier.uri
http://hdl.handle.net/11336/239733
dc.description.abstract
User experience is a crucial aspect of software quality, and while various guidelines and heuristics have been proposed to enhance it, tables have not received as much attention as other elements. Additionally, many developers are unaware of the guidelines they should follow in this regard. The objective of this article is to enhance the user experience on websites by streamlining the development process of usable tables. To achieve this, we propose a set of heuristics integrated into a tool called BetterTable that enables automatic application of usability improvements while parsing the HTML document. The complexity involved in developing a table with applied usability guidelines is evaluated using different implementations: the proposed approach, DataTables, and AntDesign. Furthermore, tests are conducted to validate the effectiveness of the proposed heuristics through user interactions with 13 table usage scenarios, measuring time, mouse movement, and clicks. Each user is randomly presented with 13 scenarios that either meet or do not meet a specific guideline. The results indicate that our proposal reduces implementation complexity by 43.83% and 24.69% compared to DataTables and AntDesign, respectively. Moreover, user testing reveals that 6 out of the 13 guidelines show improvements in at least 2 of the 3 calculated metrics. Guidelines fulfilled show 40.37% less average completion time and 20.39% less mouse movement than the baseline. Based on the conducted studies, we observed that compliant tables, on average, exhibit reduced user time and mouse movements compared to non-compliant tables. However, no significant differences are found in terms of clicks.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Pergamon-Elsevier Science Ltd
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
User experience
dc.subject
Tables
dc.subject
Expert system
dc.subject
HTML
dc.subject.classification
Ciencias de la Computación
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Ciencias de la Computación e Información
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CIENCIAS NATURALES Y EXACTAS
dc.title
Enhancing data tables user experience via automated adaptations
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-07-11T11:41:02Z
dc.journal.volume
255
dc.journal.pagination
1-13
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Díaz Ceñera, Mario. Universidad de Oviedo; España
dc.description.fil
Fil: Grigera, Julián. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas; Argentina. Universidad Nacional de La Plata. Facultad de Informática. Laboratorio de Investigación y Formación en Informática Avanzada; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata; Argentina
dc.description.fil
Fil: Espada, Jordán Pascual. Universidad de Oviedo; España
dc.journal.title
Expert Systems with Applications
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0957417424013587
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.eswa.2024.124491
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