VLDB 2026 Research / reviewers in the wild / expert
Mario Arias Oliva
dblp:165/2017
· DBLP profile ↗
4ranked-venue papers
1as first author
3since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 4 · 1 first-author · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Patients' Acceptance of Surgical Robots: Findings with Machine Learning and Necessary Condition Analysis
Jorge de Andrés-Sánchez, Ala Ali Almahameed, Mario Arias Oliva, Jorge Pelegrín-Borondo |
Int. J. Hum. Comput. Interact. | 3 |
| 2025 | Sovereignty, Surveillance, and the Cloud: Geopolitical and Ethical Issues of Global Cloud Computing
Ala Ali Almahameed, Jorge Pelegrín-Borondo, Juan Luis López-Galiacho Perona, Mario Arias Oliva |
ETHICOMP | 4 |
| 2025 | Rethinking Educational Assessment in the Age of Artificial Intelligence
Mario Arias Oliva, Antonio Pérez-Portabella, Manuel Ollé Sesé, Jorge de Andrés-Sánchez |
ETHICOMP | 1 |
| 2008 | A technological acceptance of e-learning tools used in practical and laboratory teaching, according to the European higher education areaabstractThe application of scientific tools to analyse the use of Internet-based e-learning tools in academic settings is in general an ignored area. E-learning tools are actually an emergent topic as a result of the new ideas introduced by the European Higher Education Area. Lifelong learning, or the promotion of student initiative, is the new paradigm of a learner-centred education. In this context, e-learning tools can represent an effective way of supporting this new trend in education. Assuming the premise that successful use of these web-based tools depends primarily on a user's behaviour, the objective of this research is to examine the technology acceptance model (TAM) of web-based e-learning tools used in practical and laboratory teaching. The research hypotheses derived from this model have empirically been validated using the responses to a survey on e-learning usage among 220 users. These responses have been examined through partial least square. The obtained results strongly support the extended TAM in predicting a student's intention to use e-learning and define a set of external variables with a significant influence in the original TAM variables. Surprisingly, perceived ease of use did not posit a significant impact on student attitude or intention towards e-learning tool usage. Therefore, early evaluation of e-learning material is considered essential to providing a framework for further improvements of the tool. M. Rocío Martínez-Torres, Sergio L. Toral Marín, Federico Barrero, Sergio Gallardo Vázquez, Mario Arias Oliva, T. Torres |
Behav. Inf. Technol. | 5 |