Avilés-Castillo, Fátima
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Avilés-Castillo, Fátima
Main Affiliation
Ambato
Email
faviles@indoamerica.edu.ec
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Scopus Author ID
57845057800

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Organizational communication in change management: A narrative review

2026 , Taruchaín Pozo, Fernando , Avilés-Castillo, Fátima , Evelyn Cuesta-Andaluz , Buele, Jorge

In an increasingly digital and competitive business landscape, communication practices within organizations are evolving to meet new operational and cultural demands. These shifts have redefined how companies engage with internal and external stakeholders across different levels. Despite the growing importance of communication, many organizations continue to face structural and strategic challenges that hinder effective message delivery and alignment. This review aims to identify key trends, persistent challenges, and the reported benefits of organizational communication, offering a synthesized view of recent academic contributions to the topic. A structured narrative review was conducted using thematic analysis of 52 peer-reviewed studies published in English and Spanish over the last decade. Using thematic analysis, the study identifies prevailing trends, key challenges, and reported benefits within organizational communication in the context of change management. Major trends include the adoption of digital communication tools, personalized messaging, strategic utilization of social media, and the incorporation of storytelling techniques. Challenges highlighted encompass resistance to change, message fragmentation, data security concerns, and information overload. The review also underscores significant benefits such as enhanced decision-making processes, improved stakeholder alignment, innovation facilitation, reputation management, and talent retention. These findings contribute to a comprehensive understanding of the evolving role of communication as a strategic asset in organizational change processes. The study concludes by emphasizing the necessity of integrated, adaptive, and inclusive communication strategies that not only support change initiatives but also foster organizational resilience and competitiveness in dynamic environments. Together, these findings provide a solid foundation for developing more effective communication practices aligned with the current demands of organizational transformation.

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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 , Buele, Jorge , Avilés-Castillo, Fátima , Carolina Del-Valle-Soto , Varela Aldas, José , Guillermo Palacios-Navarro

Abstract Background 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. Objective 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. Methods Thirty-four older adults (men, women) with MCI were randomized to the experimental group (n = 17; 75.41 ± 5.76) or control (n = 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). Results 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 (p < 0.001), with large effect sizes. There was no statistically significant improvement in any of the groups when evaluating their performance in ADLs (control, p = 0.28; experimental, p = 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. Conclusions 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. Trial registration ClinicalTrials.gov NCT06313931; https://clinicaltrials.gov/study/NCT06313931.

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Performance and Real-World Variability of Predictive Maintenance Models for Vehicle Fleets

2024 , Avilés-Castillo, Fátima , Dayanara Yánez-Arcos , Ayala-Chauvin, Manuel Ignacio , Elena Blanco-Romero

This 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.

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Predictive Maintenance in Industrial Robotics Using Big Data: Techniques, Challenges, and Opportunities

2024 , Ayala-Chauvin, Manuel Ignacio , Avilés-Castillo, Fátima , Dayanara Yánez-Arcos , Buele, Jorge

In 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.

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Power Flow Optimization in Electrical Networks using Gekko

2025 , Ayala-Chauvin, Manuel Ignacio , Avilés-Castillo, Fátima , Riba-Romeva, Carles

Power flow optimization in the electrical grid is critical to improve the stability and performance of power systems. The main challenge lies in finding an optimal distribution of power generation that meets the constraints imposed by the grid, such as voltage limits and power system stability conditions. The objective of this research was to evaluate the performance of Gekko in power flow optimization in electrical grids. To do so, a comparison was made with SciPy, a widely used benchmark framework in numerical optimization in order to assess their relative efficiency in problems with complex constraints. The comparison is based on metrics such as solution accuracy, convergence speed, and number of objective function evaluations. The results showed that both methods achieved the same objective value: SciPy (19.7) and Gekko (19.7). However, SciPy was slightly faster (0.01496 seconds vs. 0.0191 seconds), but required 60 objective function evaluations. In contrast, Gekko demonstrated greater computational efficiency, reducing the number of evaluations required for convergence. While SciPy is more efficient on small problems with explicit constraints, Gekko offers greater flexibility on problems with more complex constraints, making it more suitable for larger power systems.

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User Experience in Virtual Reality (VR) Applications for Elderly People with Cognitive Impairment and Dementia: A Scoping Review

2024 , Buele, Jorge , Avilés-Castillo, Fátima , Guillermo Palacios-Navarro

Background: 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/PNU36

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Ethical and Social Challenges in Virtual Reality: A Bibliometric Analysis

2024 , Buele, Jorge , Homero J. Velastegui , Avilés-Castillo, Fátima , Hugo Paz-León , Guillermo Palacios-Navarro

Virtual reality has revolutionized human interaction with digital environments, creating immersive simulations that have significantly impacted sectors such as education, urban planning, and mental health. Along with its transformative potential, VR presents ethical and societal challenges. This study analyzes trends in research addressing these challenges, focusing on articles published through 2023 in the Web of Science database. Visual and statistical analyses reveal a sustained increase in publications since 2013. Patterns in authorship and collaboration networks emphasize the global and interdisciplinary nature of VR research. Dominant themes include the metaverse and therapeutic applications, as well as concerns about data privacy, virtual identity representation, and psychological effects such as cybersickness. Research highlights temporary symptoms such as nausea and eye strain associated with immersive systems, demonstrating the need for ergonomic design and age-specific usage guidelines. Furthermore, active video games using VR have shown promise in promoting physical activity, offering innovative solutions to combat sedentary lifestyles. Looking ahead, efforts must prioritize equitable access, user safety, and robust ethical frameworks to ensure the responsible and sustainable integration of VR technologies.

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Innovative Learning Environments Through Social Media: Evaluation of Their Impact on Secondary Basic Education

2025 , Génesis Montoya-Fernández , Andino Sosa, Ivonne Augusta , Avilés-Castillo, Fátima

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 disciplines

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Analysis of Natural Lighting in Traditional Homes: Pilahuin Case Study

2024 , Bustán-Gaona, Darío , Yomara Jiménez-Sanchez , Avilés-Castillo, Fátima

Traditional 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.

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Virtual Reality and User Experience: Current Trends and Future Challenges

2025 , Avilés-Castillo, Fátima , Buele, Jorge , Guillermo Palacios-Navarro

Virtual reality is an emerging and versatile technology that is gaining increasing interest from the scientific community, particularly regarding user experience. A review of the literature highlights the need for updated analyses that comprehensively address current trends in this field. The objective of this study is to analyze the evolution of scientific publications related to virtual reality and user experience, identifying trends, the most influential authors, relevant journals, and international collaborations, to provide a comprehensive overview. A bibliometric analysis was conducted using the Web of Science Core Collection database, identifying a total of 1,848 relevant publications. Network analysis techniques and Bradford’s law were applied, allowing for the examination of the distribution and impact of publications, as well as collaboration between authors and institutions. The results show an exponential growth in scientific output, particularly since 2019. While the United States leads in the number of publications, most of the influential authors are from Europe, with notable scientific output in Spain and Portugal. Current research hotspots include virtual reality applications in education and healthcare (over 70% of the analyzed publications), which align with Sustainable Development Goals, particularly 3 and 4. Trends indicate a shift towards integrating virtual reality with artificial intelligence, adaptive systems, and multisensory interaction to enhance immersion and usability. Challenges include a lack of standardized methodologies to assess immersion, presence, and cognitive load, which limits comparisons across studies and hinders the development of best practices. Future research should focus on refining interaction paradigms, improving accessibility, and developing ethical frameworks that respect data privacy and protect the user from cybersickness and the psychological effects of prolonged virtual reality exposure.

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