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
26 results
Now showing 1 - 10 of 26
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Impact of mixed reality on the care of the elderly: a scoping review(Springer Science and Business Media LLC, 2026-07-06); ; Palacios-Navarro, GuillermoPopulation aging requires innovative technological strategies that promote autonomy, functionality, and well-being in old age. In this context, mixed reality (MR), a technology that integrates physical and digital elements in a shared and interactive real-time environment, emerges as a promising alternative. To analyze the current state of evidence on the use of MR in the care of older adults, including its theoretical and practical implications. Scientific articles were reviewed in Scopus, Web of Science, PubMed, IEEE Xplore, and EBSCO. Data from 15 studies were organized into an analytical matrix to identify methodological and impact patterns. MR interventions have shown promising preliminary results in physical rehabilitation, cognitive stimulation, emotional well-being, and social interaction by combining sensory feedback, functional tasks, and meaningful experiences. The included studies represent heterogeneous MR configurations along the virtual reality continuum, including transparent or pass-through optical viewers, VR-HMD-based systems with real-world interaction, and sensor- or projection-based platforms. Rather than demonstrating superiority over virtual or augmented reality, the evidence suggests specific advantages related to contextual awareness, physical interaction, and cognitive-motor-affective integration. These features were associated with potential improvements in mobility, executive functions, motivation, positive emotions, and social presence, supporting an interpretive cognitive-motor-emotional framework and the design of safe, meaningful, and context-sensitive interventions. MR shows promising potential for the care of older adults by improving cognitive, motor, emotional, and social outcomes. However, current evidence remains preliminary due to small sample sizes, methodological heterogeneity, a scarcity of comparative studies, and a lack of longitudinal evidence. © The Author(s) 2026. - 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, Predictive Maintenance in Industrial Robotics Using Big Data: Techniques, Challenges, and Opportunities(2024); ; ;Dayanara Yánez-ArcosIn industrial robotics, predictive maintenance is important to improve efficiency and reduce costs, addressing early detection and diagnosis of failures. The use of Big Data allows us to identify patterns and trends that at first glance are complex. This review examines research on the application of big data in predictive maintenance of industrial robots, which use advanced techniques such as cloud-based architectures, filtering algorithms, and machine learning. The review methodology included an analysis of the big data techniques used, the challenges identified, and the opportunities presented. The results show significant improvements in the accuracy of predictions and fault diagnoses. Key anomaly drivers were identified that improved production performance and enabled accurate fault identification and reduced downtime in industrial robots. Despite the benefits, challenges remain in data security and communications latency, underscoring the need to develop innovative algorithms and techniques to balance computing load and minimize delays. The continuous evolution of these techniques promises to improve the failure management capacity in industrial robotics, thus optimizing the operability and efficiency of robotic systems.14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Defect Reduction in Textile Manufacturing: A Review(2025) ;Ángeles Solís-Solís ;Sebastián Villacís-Capuz ;Marco Centeno-Alarcón; 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, Influence of continuous navigation modes on the immersive experience in a virtual supermarket(2026); ; ;Marco SalazarGuillermo Palacios-NavarroIntroduction: Virtual reality has established itself as an effective tool for analyzing user experience and simulating everyday activities. However, there are still many questions remaining, such as how the type of movement in immersive environments influences this experience. The present study evaluated these variables in a virtual supermarket developed for Oculus Quest 2, with the aim of comparing the perceptual and cognitive experience under two navigation modalities: locomotion and joystick. Methods: Twenty-two young adults (18–32 years old) participated in both groups. Usability (SUS), presence (PQ), everyday memory (PRMQ), and cybersickness (CSQ-VR) questionnaires were administered, all with moderate and high reliability (α = 0.685–0.912). Results: The results showed high levels of usability in both conditions (SUS ≥79), with no statistically significant differences between navigation modes (p = 0.521). Natural presence was significantly higher in locomotion mode (6.17 vs. 5.47); however, this result should be interpreted with caution, as it was derived from exploratory subscale-level analyses (p = 0.038). Cybersickness symptoms remained low (p > 0.05). A very strong positive correlation was also observed between usability and presence in the joystick group (ρ = 0.902; p < 0.001), indicating that interaction fluidity enhances immersion. Discussion: Both modes were ergonomic and safe, although with distinct profiles: physical locomotion increased perceptual naturalness, while the joystick reinforced the relationship between ease of use and immersion. These findings provide empirical evidence on how movement modulates the immersive experience and propose an experimental model, with implications for the design of virtual environments applicable to different populations in the future. Copyright © 2026 Avilés-Castillo, Buele, Salazar and Palacios-Navarro.1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Analysis of Natural Lighting in Traditional Homes: Pilahuin Case Study(2024); ;Yomara Jiménez-SanchezTraditional homes in the Ecuadorian Andean region showcase their culture and tradition in their design. However, they may not be effectively harnessing natural light, making it necessary to analyze this condition. Natural light is essential for creating comfortable and habitable environments in homes. This research aims to understand the influence of natural lighting in traditional homes. On-site measurements and digital simulations were conducted to evaluate the luminous flux in specific areas of these homes. Parameters unique to this type of construction, such as the materials used, orientation, date, and time of day, were considered to ensure the accuracy of the simulations. Using Velux software, it was possible to simulate the sun's trajectory throughout the day and year to comprehend and enhance the luminous performance of these spaces. Measurements and simulations revealed that the levels of illumination in traditional Andean homes fall below the standards established in the Ecuadorian Construction Regulations. This is partly due to the design of small windows on the main facade and the materials used in floors and walls. This demonstrates that integrating natural light into architectural design is crucial for improving the quality of life for occupants and promoting sustainability.37 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Gamification in Inclusive Education for Children with Disabilities: Global Trends and Approaches - A Bibliometric Review(2023); ; ; Palacios-Navarro G.Given the growing attention to the intersection between technology and education, gamification has emerged as a strategy with great benefits. This bibliometric review addresses gamification’s current and future relevance in the educational field, focusing on its use as a pedagogical strategy to improve the learning and engagement of children with disabilities. Sixty-six studies published between 2001 and 2023 were analyzed, evaluating the most influential articles, main keywords, prominent authors, collaborating institutions, and funding sources. The literature suggests that gamification offers inclusive and personalized learning opportunities covering various disabilities. Methodologies and approaches to implement gamification were identified, including game elements, user-centered design techniques, and emerging technologies such as virtual reality, artificial intelligence, and educational robotics. However, challenges and areas for improvement were also found, such as the need for more long-term empirical evidence and the importance of considering individual differences and specific needs when designing gamification strategies. The review highlights the importance of strengthening collaborative networks between researchers and education professionals to disseminate best practices and promote more effective gamification approaches adapted to the needs of children with disabilities. Collaboration between educators, game developers, researchers, and parents are crucial to ensure that gamification efforts are inclusive and meet the diverse needs of students. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.Scopus© Citations 2 24 - 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, The Role of Virtual Reality in Promoting Sustainability(2025); ;Harlem Miranda ;Alex David Muyulema-Mayorga; Guillermo Palacios-NavarroIn a global context where sustainability has become a central challenge, immersive virtual reality emerges as a promising tool to address environmental, social, and economic problems. This study explores the potential of immersive virtual reality and virtual prototyping to foster sustainability. Using a theoretical approach and PRISMA methodology, relevant articles on this topic were selected and rigorously evaluated. The search strategy included the Scopus, Web of Science, IEEE Xplore, APA PsycNET, and SpringerLink databases, using terms related to virtual reality and sustainability. Ten studies were included, indicating that virtual reality, by providing a deeply immersive experience, not only enhances the perception and understanding of sustainability issues but also motivates significant behavioral changes towards more sustainable practices. It is highlighted that virtual reality is more effective than non-immersive learning methods in terms of emotional and cognitive impact, which underlines its value as an educational and awareness-raising tool. Furthermore, it can offer practical solutions to create a more sustainable environment by reducing the environmental footprint, such as decreasing the need for physical travel through virtual meetings or implementing telemedicine to support human health. Despite these promising applications, the need for further empirical research is recognized to explore the variability of responses among different demographic groups and to validate these findings in real-world contexts. Additionally, the development and optimization of virtual environments is suggested to increase the effectiveness of sustainable interventions.21 - 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); ; ;Carolina Del-Valle-Soto; 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
- «
- 1 (current)
- 2
- 3
- »
