RUBIO PROAÑO, Andrès
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RUBIO PROAÑO, Andrès
Official Name
RUBIO PROAÑO, Andrès
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57212081622
4 results
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Item type:Publication, Low-Cost Interfaces and Technological Accessibility: A Human–Computer Interaction Approach for the Inclusion of Individuals with Motor Disabilities(Springer Nature Switzerland, 2026); ; ; ; Cerebral palsy (CP) is a neurological disorder of prenatal or perinatal origin that affects motor control, posture, and frequently speech, thereby limiting autonomy and social participation among individuals who experience it. During the transition to adulthood, these limitations tend to intensify, highlighting the need for assistive technologies (AT) that effectively address real-world contexts of use. However, the high cost and limited adaptability of many existing solutions restrict their adoption, particularly in low- and middle-income countries. This study is situated within the field of Human–Computer Interaction (HCI) and aims to evaluate low-cost input devices based on principles of accessibility, ergonomics, and usability, to improve the work performance of individuals with motor disabilities. A qualitative methodology was employed, based on the think-aloud technique, applied to a case study involving an adult with cerebral palsy who interacted with three devices: a conventional trackpad, a MAKEY MAKEY-based interface, and a wireless keyboard with an integrated touchpad. The results indicate that, although the trackpad allows for a degree of progressive adaptation, it presents limitations in tasks requiring bimanual coordination. The MAKEY MAKEY interface provides greater discrete control but demands high levels of coordination and generates fatigue due to its physical configuration. In contrast, the wireless keyboard with an integrated touchpad emerges as the most efficient and ergonomic alternative, as it distributes functions between both hands and reduces physical effort. It is concluded that the adaptation of mass-market consumer technologies, under a user-centered design approach, can offer accessible, functional, and sustainable solutions for the digital inclusion of individuals with motor disabilities. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Design of a backup system powered by renewable energy sources for the operation of a textile industry in Quito(2025); This research proposes the design of an energy backup system using renewable energy sources to ensure the continuity of electrical service in a textile industry operating under a 24-hour work regime. Using various engineering methodologies such as energy load surveys and efficiency indicators, photovoltaic solar panels were selected as the optimal renewable energy source. The results show improved energy efficiency and economic benefits, with surplus energy being sold to the national grid, reducing production costs. This work contributes to the company’s sustainability and environmental goals.29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, ROIX-Comp: Optimizing X-ray Computed Tomography Imaging Strategy for Data Reduction and Reconstruction(2026)13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Enhancing Decision-Making Through Human–AI Synergy in Smarter and Fairer Recruitment(Springer Nature Switzerland, 2026); The digitalization of recruitment processes has paved the way for the integration of artificial intelligence (AI) into hiring, transforming how organizations identify and select talent. According to a McKinsey [7] report, the use of AI has significantly reduced hiring times by automating résumé screening and candidate preselection. However, a key question arises: does this efficiency also translate into better candidate quality, reflected in performance and retention rates? This study seeks to answer the following question: how does the use of AI systems in résumé analysis impact the reduction of recruitment time and the improvement of candidate quality, as measured by the retention rate after two months? The main objective is to evaluate how the implementation of AI in selection processes influences both the speed and quality of hiring. This research is relevant because it provides empirical evidence about the benefits and limitations of AI in recruitment, allowing organizations to make more informed decisions regarding its adoption. A literature review was conducted to explore the topic from different perspectives. Preliminary findings indicate that AI can streamline processes, improve selection accuracy, and reduce bias, although concerns remain regarding algorithmic transparency and fairness. The study adopts a mixed-methods approach: in the quantitative phase, traditional and automated processes are compared in résumé analysis, psychometric testing, and interviews, measuring hiring times and retention rates. In the qualitative phase, recruiters were surveyed to gather their perceptions about the use of AI in decision-making. Preliminary results suggest a significant reduction in hiring times but similar retention rates between traditional and AI-assisted methods. Consequently, a hybrid recruitment model is proposed, in which the synergy between humans and intelligent systems strengthens decision-making, promoting more efficient, transparent, and equitable selection processes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.