Avilés-Castillo, Fátima
Preferred name
Avilés-Castillo, Fátima
Main Affiliation
Ambato
Email
faviles@indoamerica.edu.ec
ORCID
0000-0002-0184-8893
Scopus Author ID
57845057800
23 results
Now showing 1 - 10 of 23
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Item type:Publication, User Experience in Virtual Reality (VR) Applications for Elderly People with Cognitive Impairment and Dementia: A Scoping Review(2024); ; Guillermo Palacios-NavarroBackground: In recent years, Virtual Reality (VR) has emerged as a promising tool to improve the well-being and functional capabilities of older adults. Although VR applications have shown positive results, their impact on user experience and therapeutic outcomes still needs to be evaluated. Objective: This scoping review aims to analyze existing studies on VR use in older adults with neurodegenerative disorders, focusing on the factors that influence usability, satisfaction, and immersion, as well as the effects on emotional and cognitive well-being. Materials and Methods: Empirical studies in English were included on VR applications applied to older adults with cognitive impairment without study design restrictions. The search was conducted in IEEE Xplore, PubMed, Scopus, and Web of Science, identifying a total of 650 initial results. After screening, 14 studies met the inclusion criteria. Results: Immersive VR tends to generate a greater sense of presence, which contributes to improving emotional well-being and reducing neuropsychiatric symptoms, such as apathy and depression. However, its impact on cognitive functions, including memory and executive skills, varied depending on the level of immersion and participant characteristics. Despite these positive findings, significant heterogeneity was evident in study designs, measurement instruments, and user experience indicators. Conclusion: Virtual environments have great potential as a therapeutic tool for older adults, but their success depends on the personalization of applications and the adaptation of technology to the specific needs of this population. Future research should focus on developing standardized protocols, incorporating adaptive technologies such as artificial intelligence, and evaluating the long-term effects of VR to maximize its benefits and minimize its risks. This review was registered in Open Science Framework (OSF). Registration Number: 10.17605/OSF.IO/PNU3635 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Robotics in higher education and its impact on digital learningIn recent years, robotics has transformed various industrial processes but has also influenced teaching methodologies. Although there are literature reviews on its application in professional training, many are outdated or lack a current focus on its impact in higher education. Addressing this gap, the present mini review examines the impact, challenges, and opportunities of this technology in the university setting. To this end, a search was conducted in the PubMed, Scopus, IEEE Xplore, APA PsycNet, and Web of Science databases, selecting 11 studies that addressed diverse applications of robotics, including educational robotics, robotic telepresence, human-robot interaction, and artificial intelligence applications. Their effects on teaching, the factors influencing their adoption, and the strategies used to optimize their implementation were analyzed. The findings show that educational robotics enhances student motivation and engagement, with prediction models reaching an accuracy of 98.78% in assessing academic engagement. Additionally, robotic telepresence emerges as an effective alternative for hybrid education, and social robots and AI-based tutors demonstrated their potential to personalize learning. However, methodological and structural challenges persist, such as the need to develop more accurate evaluation metrics and ensure accessibility and educational equity. Future research should focus on improving these aspects, enabling more efficient integration to enhance teaching processes. This study was registered in the Open Science Framework under the code: 10.17605/OSF.IO/KHDTU.57 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Performance and Real-World Variability of Predictive Maintenance Models for Vehicle Fleets(2024); ; Elena Blanco-RomeroThis study presents a comprehensive evaluation of predictive maintenance models for vehicle fleets, detailing a sequence of systematic steps to ensure model performance and address real-world variability. The process begins with database creation and data preprocessing, where relevant maintenance records are filtered, and datetime columns are converted to facilitate time-based calculations. Grouping and aggregation techniques are then applied to count occurrences of specific maintenance activities and identify common failure types. For model training, we define a neural network architecture comprising dense and dropout layers to mitigate overfitting, compile the model with suitable loss functions and optimizers, and train it using the prepared data. The trained model, along with the scaler and encoder, is saved for future use. To augment the dataset, synthetic data is generated using the Faker library and random distributions, with added noise to mimic real-world variability. Preprocessing steps are reapplied to this synthetic data to ensure consistency. By implementing this neural network, we achieved a sensitivity of 0.93 and an ROC of 0.71. Following these detailed steps, we develop a robust predictive maintenance model that effectively identifies failures and non-failures, ultimately enhancing the reliability and efficiency of vehicle fleet management.27 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Innovative Learning Environments Through Social Media: Evaluation of Their Impact on Secondary Basic Education(2025); Education has evolved with the integration of information technologies, including the use of social media as innovative tools in educational technology. Although initially conceived for social interaction, platforms such as TikTok, WhatsApp, and Facebook have shown potential to enrich the learning environment and teaching-learning processes. In this context, a four-week didactic intervention was designed and implemented in seventh-year basic education students, focused on reinforcing knowledge in natural sciences through activities on social media. The methodology combined a quantitative and qualitative approach, with the application of surveys and pre- and post-intervention evaluations in three areas: electricity and energy, magnetism, atmosphere and climate. The results showed significant improvements in the categories of magnetism (Z = −3.918, p < 0.001) and atmosphere and climate (Z = −3.324, p = 0.001). However, no statistically significant difference was found in the category of electricity and energy (Z = −1.230, p = 0.219). This indicates that the intervention was more effective in certain areas, suggesting the need to adjust strategies for other topics. The effectiveness of using information technologies in education, particularly social media, to improve academic performance in specific areas is highlighted, proposing their potential as complementary teaching tools and the need to continue researching their application in various educational disciplines13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Influence of continuous navigation modes on the immersive experience in a virtual supermarket(2026); ; 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Defect Reduction in Textile Manufacturing: A Review(2025); The textile industry faces continuous challenges in reducing defects during manufacturing, as quality inconsistencies can lead to financial losses, reduced efficiency, and diminished consumer confidence. Addressing this issue requires a combination of methodological and technological approaches that optimize production while minimizing waste. This review examines various strategies for defect reduction, focusing on process improvement methodologies, predictive technologies, and sustainable practices. A systematic analysis of 12 studies highlights the effectiveness of structured quality management approaches in identifying and eliminating defect sources. Additionally, predictive models based on artificial intelligence have demonstrated significant potential in real-time defect detection and prevention, improving overall product quality. However, challenges such as machinery rigidity and the high variability of textile products complicate the implementation of these strategies. Sustainable manufacturing practices and specialized workforce training have also been identified as key factors in enhancing defect management, as they contribute to resource conservation, waste reduction, and improved working conditions. The findings suggest that a comprehensive approach, integrating advanced process optimization techniques, predictive analytics, and sustainable production methods, is essential for improving efficiency and quality in textile manufacturing. This integration not only reduces defects but also strengthens competitiveness in an industry increasingly driven by quality, sustainability, and technological innovation. The OSF registration can be accessed at: https://doi.org/10.17605/OSF.IO/NAMWY. © 2025 IEEE.14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards Smart Agriculture: An Overview of Big Data in the Agricultural IndustryAgriculture is currently undergoing progressive diversification and expansion, as demonstrated by the wide range of research topics and methodologies being employed. The growing need for technology to enhance agricultural processes is increasingly evident and prominently highlighted in recent studies. To assess the influence of Big Data on agriculture and its potential to advance Smart Agriculture, this bibliometric study was conducted. The research consolidates bibliometric data from the Scopus database, using the Bibliometrix package to identify trends in this field. The findings show a growing annual publication rate, indicating increasing interest in the integration of data analysis methodologies within agriculture. The collaborative nature of the research, combined with a high citation rate per document and diversity of key terms, underscores the importance of this field and its potential contribution to achieving Smart Agriculture. The convergence of Big Data, the Internet of Things, and agriculture is particularly noteworthy, as these technologies are improving decision-making and efficiency in the agricultural sector. Despite certain limitations, this study highlights the transformative potential of these advancements and suggests areas for future research, thus laying the groundwork for a more sustainable, productive, and intelligent agricultural future.21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Adaptive Learning Platforms and Their Influence on Higher Education: A Scoping ReviewOver the past decade, adaptive learning platforms have transformed higher education by adjusting content and activities based on students’ abilities and progress. This approach personalizes learning and optimizes academic performance, particularly in complex disciplines such as engineering and science. However, challenges remain related to their technological implementation and acceptance by both students and educators. This scoping review analyzes the impact of adaptive learning platforms in higher education, focusing on their influence on academic performance, student motivation, practical implementation challenges, and future implications for research. An exploratory literature review was conducted using the PRISMA-ScR method, identifying recent studies published between 2019 and 2024 in databases such as ERIC, Scopus, IEEE Xplore, Web of Science, and APA PsycNet. Quantitative and qualitative research studies were selected, evaluating the impact of these platforms in university settings and the outcomes they produce. The results indicate that adaptive learning platforms significantly enhance academic performance by providing personalized experiences and immediate feedback. They also increase student motivation and engagement, particularly in online learning environments. However, challenges were identified, including the need for adequate technological infrastructure and specialized training for educators. Adaptive learning platforms hold transformative potential in higher education but require overcoming technological and pedagogical barriers. Further qualitative research is recommended to better understand user experiences and maximize their effectiveness across diverse educational contexts.32 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effects of a dual intervention (motor and virtual reality-based cognitive) on cognition in patients with mild cognitive impairment: a single-blind, randomized controlled trial(2024); ; ; Guillermo Palacios-Navarro<jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>The increase in cases of mild cognitive impairment (MCI) underlines the urgency of finding effective methods to slow its progression. Given the limited effectiveness of current pharmacological options to prevent or treat the early stages of this deterioration, non-pharmacological alternatives are especially relevant.</jats:p> </jats:sec><jats:sec> <jats:title>Objective</jats:title> <jats:p>To assess the effectiveness of a cognitive-motor intervention based on immersive virtual reality (VR) that simulates an activity of daily living (ADL) on cognitive functions and its impact on depression and the ability to perform such activities in patients with MCI.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>Thirty-four older adults (men, women) with MCI were randomized to the experimental group (<jats:italic>n</jats:italic> = 17; 75.41 ± 5.76) or control (<jats:italic>n</jats:italic> = 17; 77.35 ± 6.75) group. Both groups received motor training, through aerobic, balance and resistance activities in group. Subsequently, the experimental group received cognitive training based on VR, while the control group received traditional cognitive training. Cognitive functions, depression, and the ability to perform activities of daily living (ADLs) were assessed using the Spanish versions of the Montreal Cognitive Assessment (MoCA-S), the Short Geriatric Depression Scale (SGDS-S), and the of Instrumental Activities of Daily Living (IADL-S) before and after 6-week intervention (a total of twelve 40-minutes sessions).</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Between groups comparison did not reveal significant differences in either cognitive function or geriatric depression. The intragroup effect of cognitive function and geriatric depression was significant in both groups (<jats:italic>p</jats:italic> < 0.001), with large effect sizes. There was no statistically significant improvement in any of the groups when evaluating their performance in ADLs (control, <jats:italic>p</jats:italic> = 0.28; experimental, <jats:italic>p</jats:italic> = 0.46) as expected. The completion rate in the experimental group was higher (82.35%) compared to the control group (70.59%). Likewise, participants in the experimental group reached a higher level of difficulty in the application and needed less time to complete the task at each level.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>The application of a dual intervention, through motor training prior to a cognitive task based on Immersive VR was shown to be a beneficial non-pharmacological strategy to improve cognitive functions and reduce depression in patients with MCI. Similarly, the control group benefited from such dual intervention with statistically significant improvements.</jats:p> </jats:sec><jats:sec> <jats:title>Trial registration</jats:title> <jats:p>ClinicalTrials.gov NCT06313931; <jats:ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://clinicaltrials.gov/study/NCT06313931">https://clinicaltrials.gov/study/NCT06313931</jats:ext-link>.</jats:p> </jats:sec>31 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Organizational communication in change management: A narrative review(2026); ; 78
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