2026-09-16T17:08:16Zhttps://gredos.usal.es/oai/request
oai:gredos.usal.es:10366/1682482025-12-13T01:01:26Zcom_10366_4549com_10366_4512com_10366_3823col_10366_4550
Gestión del Repositorio Documental de la Universidad de Salamanca author Antúnez-Muiños, Pablo author Pérez-Sánchez, Pablo author Vázquez Ingelmo, Andrea author García-Peñalvo, Francisco J. author Sánchez-Puente, Antonio author Vicente-Palacios, Víctor author García-Holgado, Alicia author Dorado-Díaz, Pedro Ignacio author Sampedro-Gómez, Jesús author Cruz González, Ignacio author Sánchez Fernández, Pedro Luis 2025-12-12T08:41:05Z 2025-12-12T08:41:05Z 2024 Antúnez-Muiños, P., Pérez-Sánchez, P., Vázquez-Ingelmo, A., García-Peñalvo, F. J., Sánchez-Puente, A., Vicente-Palacios, V., García-Holgado, A., Dorado-Díaz, P. I., Sampedro-Gómez, J., Cruz-González, I., Sánchez, P. L.(2024). Assessing the effectiveness of textual recommendations in KoopaML: a comparative Study on non-expert users’ ML Pipeline Development. International Journal on Semantic Web and Information Systems, 20(1), 1-21. https://doi.org/10.4018/IJSWIS.340727 1552-6283 http://hdl.handle.net/10366/168248 10.4018/IJSWIS.340727 1552-6291 [EN]Artificial intelligence (AI) integration, notably in healthcare, has been significant, yet effective implementation in critical areas requires expertise. KoopaML, a previously developed visual platform, aims at bridging this gap, enabling users with limited AI knowledge to build ML pipelines. Its core is a heuristic-based ML task recommender, offering guidance and contextual explanations. The authors compared the use of KoopaML with two non-expert groups: one with the recommender system enabled and the other without. Results showed KoopaML's intuitiveness benefits all but emphasized that textual guidance doesn't substitute for fundamental ML understanding. This underscores the need for educational components in such tools, especially in critical fields like healthcare. The paper suggests future KoopaML enhancements include educational modules, making ML accessible, and ensuring users develop a solid AI foundation. This is crucial for quality outcomes in sectors like healthcare, leveraging AI's potential through enhanced non-expert user capability. eng Atribución 4.0 Internacional Artificial Intelligence HCI Health Platform Information System Medical Data Management Think Aloud Protocol Usability Assessing the effectiveness of textual recommendations in KoopaML : a comparative Study on non-expert users’ ML Pipeline Development. info:eu-repo/semantics/article TElDRU5DSUEgREUgREVSRUNIT1MgREUgQVVUT1IgTk8gRVhDTFVTSVZBCgpQYXJhIHF1ZSBlbCBSZXBvc2l0b3JpbyBkZSBsYSBVbml2ZXJzaWRhZCBkZSBTYWxhbWFuY2EgcHVlZGEgcmVwcm9kdWNpciB5IGNvbXVuaWNhciBww7pibGljYW1lbnRlIHN1IGRvY3VtZW50byAobWVkaWFudGUgc3UgcHVlc3RhIGEgZGlzdHJpYnVjacOzbiBlbiBlbCBwcm9waW8gcmVwb3NpdG9yaW8pIGVzIG5lY2VzYXJpbyBsYSBhY2VwdGFjacOzbiBkZSB1bmEgc2VyaWUgZGUgdMOpcm1pbm9zLiBMYXMgY29uZGljaW9uZXMgZGUgbGEgbGljZW5jaWEgbm8gZXhjbHVzaXZhIHF1ZSBsb3MgYXV0b3JlcyBkZWJlbiBhY2VwdGFyIGFsIGhhY2VyIGF1dG9hcmNoaXZvIGVuIEdSRURPUyBzb24gbGFzIHNpZ3VpZW50ZXM6CgoxLiBBY2VwdGFuZG8gZXN0YSBsaWNlbmNpYSwgdXN0ZWQgLCBlbC9sYSBhdXRvci9hIGdhcmFudGl6YSBhIGxhIFVuaXZlcnNpZGFkIGRlIFNhbGFtYW5jYSBlbCBkZXJlY2hvIG5vIGV4Y2x1c2l2byBkZSBhcmNoaXZhciwgcmVwcm9kdWNpciwgY29udmVydGlyIChjb21vIHNlIGRlZmluZSBtw6FzIGFiYWpvKSB5IGNvbXVuaWNhciBzdSBkb2N1bWVudG8gbXVuZGlhbG1lbnRlIGVuIGZvcm1hdG8gZWxlY3Ryw7NuaWNvLgoKMi4gRWwgYXV0b3IgYWNlcHRhIHF1ZSBsYSBVbml2ZXJzaWRhZCBkZSBTYWxhbWFuY2EgcHVlZGEgY29uc2VydmFyIG3DoXMgZGUgdW5hIGNvcGlhIGRlIGVzdGUgZG9jdW1lbnRvIHksIHNpbiBhbHRlcmFyIHN1IGNvbnRlbmlkbywgY29udmVydGlybG8gYSBjdWFscXVpZXIgZm9ybWF0byBkZSBmaWNoZXJvLCBtZWRpbyBvIHNvcG9ydGUsIHBhcmEgcHJvcMOzc2l0b3MgZGUgc2VndXJpZGFkLCBwcmVzZXJ2YWNpw7NuIHkgYWNjZXNvLgoKMy4gRWwgZGVwb3NpdGFyaW8gZGVjbGFyYSBxdWUgZWwgZG9jdW1lbnRvIGVzIHVuIHRyYWJham8gb3JpZ2luYWwgc3V5byB5L28gcXVlIHRpZW5lIGVsIGRlcmVjaG8gcGFyYSBvdG9yZ2FyIGxvcyBkZXJlY2hvcyBjb250ZW5pZG9zIGVuIGVzdGEgbGljZW5jaWEuIFRhbWJpw6luIGRlY2xhcmEgcXVlIHN1IGRvY3VtZW50byBubyBpbmZyaW5nZSwgZW4gdGFudG8gZW4gY3VhbnRvIGxlIHNlYSBwb3NpYmxlIHNhYmVyLCBsb3MgZGVyZWNob3MgZGUgYXV0b3IgZGUgbmluZ3VuYSBvdHJhIHBlcnNvbmEgbyBlbnRpZGFkLgoKNC4gU2kgZWwgZG9jdW1lbnRvIGNvbnRpZW5lIG1hdGVyaWFsZXMgZGUgbG9zIGN1YWxlcyBubyB0aWVuZSBsb3MgZGVyZWNob3MgZGUgYXV0b3IsIGRlY2xhcmEgcXVlIGhhIG9idGVuaWRvIGVsIHBlcm1pc28gc2luIHJlc3RyaWNjacOzbiBkZWwgcHJvcGlldGFyaW8gZGUgbG9zIGRlcmVjaG9zIGRlIGF1dG9yIHBhcmEgb3RvcmdhciBhIGxhIFVuaXZlcnNpZGFkIGRlIFNhbGFtYW5jYSBsb3MgZGVyZWNob3MgcmVxdWVyaWRvcyBwb3IgZXN0YSBsaWNlbmNpYSwgeSBxdWUgZXNlIG1hdGVyaWFsIGN1eW9zIGRlcmVjaG9zIHNvbiBkZSB0ZXJjZXJvcyBlc3TDoSBjbGFyYW1lbnRlIGlkZW50aWZpY2FkbyB5IHJlY29ub2NpZG8gZW4gZWwgdGV4dG8gbyBjb250ZW5pZG8gZGVsIGRvY3VtZW50byBlbnRyZWdhZG8uCgo1LiBTaSBlbCBkb2N1bWVudG8gc2UgYmFzYSBlbiB1bmEgb2JyYSBxdWUgaGEgc2lkbyBwYXRyb2NpbmFkYSBvIGFwb3lhZGEgcG9yIHVuYSBhZ2VuY2lhIHUgb3JnYW5pemFjacOzbiBkaWZlcmVudGUgZGUgbGEgVW5pdmVyc2lkYWQgZGUgU2FsYW1hbmNhLCBzZSBwcmVzdXBvbmUgcXVlIHNlIGhhIGN1bXBsaWRvIGNvbiBjdWFscXVpZXIgZGVyZWNobyBkZSByZXZpc2nDs24gdSBvdHJhcyBvYmxpZ2FjaW9uZXMgcmVxdWVyaWRhcyBwb3IgZXN0ZSBjb250cmF0byBvIGFjdWVyZG8uCgo2LiBMYSBVbml2ZXJzaWRhZCBkZSBTYWxhbWFuY2EgaWRlbnRpZmljYXLDoSBjbGFyYW1lbnRlIHN1L3Mgbm9tYnJlL3MgY29tbyBlbC9sb3MgYXV0b3IvZXMgbyB0aXR1bGFyL2VzIGRlIGxvcyBkZXJlY2hvcyBkZWwgZG9jdW1lbnRvLCB5IG5vIGhhcsOhIG5pbmd1bmEgYWx0ZXJhY2nDs24gZGUgc3UgZG9jdW1lbnRvIGRpZmVyZW50ZSBhIGxhcyBwZXJtaXRpZGFzIGVuIGVzdGEgbGljZW5jaWEuIAoKU2kgZXN0YXMgY29uZGljaW9uZXMgbm8gc29uIGFjZXB0YWRhcyBwb3IgZWwgYXV0b3IsIG5vIGVzIHBvc2libGUgZGVwb3NpdGFyIG5pbmfDum4gZG9jdW1lbnRvLgoKU2kgdW4gYXV0b3IgZXN0w6EgaW50ZXJlc2FkbyBlbiBtb2RpZmljYXIgdW4gdHJhYmFqbyBxdWUgaGF5YSBzaWRvIGRlcG9zaXRhZG8gZW4gR1JFRE9TLCBkZWJlIHBvbmVyc2UgZW4gY29udGFjdG8gY29uIGxvcyBhZG1pbmlzdHJhZG9yZXMgZGUgR1JFRE9TIChyZXBvc2l0b3Jpb0B1c2FsLmVzKS4K URL https://gredos.usal.es/bitstream/10366/168248/1/Assessing-the-Effectiveness-of-Textual-Recommendations-in-KoopaML_-A-Comparative-Study-on-Non-Expert-Users%27-ML-Pipeline-Development.pdf File MD5 87b3062121e7f40f34a3c919a39846ae 1606286 application/pdf Assessing-the-Effectiveness-of-Textual-Recommendations-in-KoopaML_-A-Comparative-Study-on-Non-Expert-Users'-ML-Pipeline-Development.pdf URL https://gredos.usal.es/bitstream/10366/168248/4/Assessing-the-Effectiveness-of-Textual-Recommendations-in-KoopaML_-A-Comparative-Study-on-Non-Expert-Users%27-ML-Pipeline-Development.pdf.txt File MD5 3bb0fabd908729be519bf63cc54817fd 64589 text/plain Assessing-the-Effectiveness-of-Textual-Recommendations-in-KoopaML_-A-Comparative-Study-on-Non-Expert-Users'-ML-Pipeline-Development.pdf.txt