Mostrar el registro sencillo del ítem

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  
dc.subject.classification
Ciencias de la Computación e Información  
dc.subject.classification
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