Villacís Guerrero, Jacqueline del Pilar
Preferred name
Villacís Guerrero, Jacqueline del Pilar
Main Affiliation
Quito
Email
jacquelinevillacis@uti.edu.ec
ORCID
0000-0001-7163-3145
Scopus Author ID
57867879400
4 results
Now showing 1 - 4 of 4
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Item type:Publication, Acceptance Sampling of Vegetables and Legumes in Units Based on the Military Standard (MIL-STD 105E)(2024); ;Álvarez-Duque W. ;Bonilla-Villacís J.R.Avilés-Castillo F.A low-quality batch brings with its adverse effects on the productivity and profitability of a product. The Military Standard (MIL-STD 105E) allows calculating the acceptance number for an attribute sampling plan under regular inspection with an acceptable quality level. This study is carried out in the national distribution center (CND) of one of the largest supermarket chains in Ecuador. There is a lack of quality control in the reception of essential products and processes carried out empirically. Ensure the quality and safety of vegetables and legumes that are received daily. Develop specific instructions for sampling vegetables and legumes in units based on MIL-STD 105E. When conducting a verification audit, an increase of 15.93% in compliance with the standard technical ARCSA-DE-067-2015-GGG was obtained. Food product reception, processing, and distribution must follow strict biosafety and quality protocols. This proposal provides business opportunities for improvement and standardized handling of documentation and processes, which other similar institutions can use. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.39 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Risks and Ethical Challenges of Emotional Intelligence in Conversational AgentsThe development of emotionally intelligent conversational agents has attracted growing interest due to their potential to enhance human–machine interaction. These systems aim to simulate empathy by recognizing and responding to human emotions, enabling more fluid, personalized, and engaging communication. Yet, this simulated empathy raises significant technical, ethical, and social concerns, particularly in domains such as healthcare, education, and commerce, where emotional influence can shape decision-making and user well-being. This article presents a narrative review that critically examines the integration of emotional intelligenceEmotional intelligence into conversational AI. It draws on interdisciplinary literature in artificial intelligenceArtificial intelligence, affective computing, and ethicsEthics, reviewing peer-reviewed sources published between 2015 and 2024. The analysis applied a thematic approach to identify recurrent patterns, conceptual tensions, and sector-specific risks. Findings show that while advances in voice analysis, natural language processing, and deep learning have improved emotion detection, important limitations persist in multicultural and linguistically diverse contexts. These gaps risk misinterpretations, inappropriate responses, or discriminatory interactions. Moreover, users may mistakenly interpret emotionally tailored responses as genuine empathy, fostering emotional confusion or dependence. The potential for manipulative or persuasive uses further complicates their ethical deployment. This study provides a novel contribution by explicitly linking simulated empathy with risks of anthropomorphization, autonomy loss, and regulatory gaps, thereby bridging technical advances with their socio-ethical implications. It highlights practical challenges for applied contexts such as clinical support, education, and digital services, offering insights for both researchers and practitioners. Ethical principles, inclusive design, and regulatory frameworks are needed to ensure that emotionally intelligent AIArtificial intelligence supports rather than exploits human emotional experience. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.6 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation of a Quality Management System According to ISO 9001:2015: The Case of a Textile Company(2024); ; ;Tierra-Arévalo M.L.Tierra-Arévalo J.This textile company is dedicated to the industrial washing, drying, and dyeing of garments, according to the indications of its customers. The global economic recession and many competitors have caused the top management to decide to implement a quality management system, which allows it to better manage its resources and thus provide a better service. Therefore, the implementation of a system based on the requirements established by the UNE-EN ISO 9001:2015 standard is proposed. The starting point is the initial analysis of the organization’s context, identification of stakeholders, risks, and opportunities, which allows redefining internal processes. The development of a complete documentary structure allows a better organization of the activities performed by the processes and their interactions. To validate the system, an internal audit is carried out, verifying the degree of compliance with the requirements. With the active participation of all the personnel and with the top management as a leader, there is an improvement in the efficiency of the company, establishing a reference for other organizations in the sector. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.67 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Residential Water Consumption Monitoring System Using IoT and MQTT Communication(2022); ;Cunalata-Paredes, D.Y. ;Bonilla-Villacís, J.R. ;Soria, A.Avilés-Castillo, F.Water shortage across the globe causes changes in the life of the human being, not to mention that water is a resource that must be preserved for future generations. The companies that distribute and charge fees for residential water services have problems performing the periodical manual readings. Thus, showcasing inaccuracy in the costumer statements at the end of every month. The following paper describes the development process of a low-cost intelligent control and monitoring system of residential water consumption. The system design uses a flow sensor that measures the influx of liquid as it passes through the pipes. Based on the value that the conventional meter marks at the beginning of the day, it is possible to determine the daily consumption. The processing of acquired data is performed with a low-cost controller (SBC). Also, the respective control actions were transmitted towards a solenoid valve, which controls the passage of water to the house. Next, an access and communication point is established applying bidirectional MQTT (Message Queue Telemetry Transport) protocol to send and receive data wirelessly through Internet of Things (IoT). Data was stored and managed on a local server. The prototype displays information through an LCD screen and in a web page. To achieve this, the server sends information such as date-time, username, meter number, etc. The results showcase that the measurements were performed as expected. Thus, validating the possibility of using it in a larger sample. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.19
