dc.contributor.author | Vázquez-Ingelmo, Andrea | |
dc.contributor.author | García-Holgado, Alicia | |
dc.contributor.author | García-Peñalvo, Francisco J. | |
dc.contributor.author | Pérez-Sánchez, Pablo | |
dc.contributor.author | Antúnez-Muiños, Pablo | |
dc.contributor.author | Sánchez-Puente, Antonio | |
dc.contributor.author | Vicente-Palacios, Víctor | |
dc.contributor.author | Dorado-Díaz, Pedro Ignacio | |
dc.contributor.author | Sánchez, Pedro Luis | |
dc.date.accessioned | 2023-12-05T19:07:31Z | |
dc.date.available | 2023-12-05T19:07:31Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://hdl.handle.net/10366/153824 | |
dc.description.abstract | The prevalence of artificial intelligence (AI) in our daily lives is often
exaggerated by the media, leading to a positive public perception while overlooking
potential problems. In the field of medicine, it is crucial to educate future healthcare
professionals on the advantages and disadvantages of AI and to emphasize
the importance of creating fair, ethical, and reproducible models. The KoopaML
platform was developed to provide an educational and user-friendly interface for
inexperienced users to create AI pipelines. This study analyzes the quantitative
and interaction data gathered from a usability test involving physicians from the
University Hospital of Salamanca, with the aim of identifying new interaction
paradigms to improve the platform’s usability. The results shown that the platform
is difficult to learn for inexperienced users due to its contents related to AI.
Following these results, a set of improvements are proposed for the next version
of KoopaML, focusing on reducing the interactions needed to create the pipelines. | es_ES |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | es_ES |
dc.rights | Atribución-NoComercial-CompartirIgual 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | Information system | es_ES |
dc.subject | Medical data management | es_ES |
dc.subject | Artificial Intelligence | es_ES |
dc.subject | Health platform | es_ES |
dc.subject | HCI | es_ES |
dc.subject | Usability | es_ES |
dc.subject | SUS | es_ES |
dc.title | Are Textual Recommendations Enough? Guiding Physicians Toward the Design of Machine Learning Pipelines Through a Visual Platform | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.subject.unesco | 1203.17 Informática | es_ES |
dc.subject.unesco | 1203.04 Inteligencia Artificial | es_ES |
dc.subject.unesco | 3212 Salud Publica | es_ES |
dc.identifier.doi | 10.1007/978-3-031-42935-4_20 | |
dc.relation.projectID | PID2020-118345RB-I00 | es_ES |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
dc.identifier.essn | 1611-3349 | |
dc.volume.number | 14113 | es_ES |
dc.page.initial | 247 | es_ES |
dc.page.final | 255 | es_ES |
dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es_ES |