Arias Flores, Hugo Patricio
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Arias Flores, Hugo Patricio
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Quito
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hugoarias@uti.edu.ec
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57210802646

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Editorial Design Based on User Experience Design

2020 , Borja Galeas, Carlos , Guevara Maldonado, César Byron , Castillo Salazar, David Ricardo , Arias Flores, Hugo Patricio , Fierro-Saltos, W. , Rivera, R. , Yandún-Velasteguí, M. , Varela Aldas, José , Hidalgo-Guijarro J.

This research deals with editorial design based on user experience design. The traditional editorial design has had to adapt to the new digital media composition, where multimedia audiovisual elements unthinkable a few years ago need to be integrated. The participation of the reader, as an external observer who only receives information through texts and images, now has new scenarios in which he can actively participate and decide what will come to his hands. In this study, a work methodology based on UxD User Experience Design is presented, in which will generate the editorial design of an educational book on environmental issues, which includes augmented reality for children from 6 to 8 years of age. The aim of this study is to know if an editorial product with augmented reality and developed from the user experience design can improve meaningful learning in a playful and active way. For its development, a composition model based on the Fibonacci sequence and the golden ratio will be used. Additionally, its graphic composition will be guided by the Massimo Vignelli canon and will be complemented by the reticular model of Beth Tondreau. The augmented reality markers position will also be based on the composition model previously mentioned, which will allow keeping the attention of the reader in the printed document and in the augmented reality animations. The user experience design will be applied with teachers, parents and students from 4 schools in Quito and Ambato. Once the production is completed, the impact on teaching-learning process will be evaluated with a control and a test group, and the methodology with which they will work in the classroom with the educational material developed will be defined. At the end of the study, copies of the book will be delivered to the participating schools of this research for its implementation. © Springer Nature Switzerland AG 2020.

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Evaluating Signage Accessibility for Individuals with Visual Impairments: A Case Study in Ecuador

2024 , Arias Flores, Hugo Patricio , Valencia-Aragón, Kevin , Sandra Sanchez-Gordon , Tania Calle-Jimenez

A signage system is a visual design consisting of identification, guidance, explanation, warning, and other functions through a combination of text, graphics, and color that facilitates the orientation and movement of occupants in buildings by representing explicit information about the configuration and overall structure of the building. In this sense, well-placed signage provides information and significantly influences the search for paths in public spaces, but not all of these spaces meet the conditions of accessibility and inclusion. From this perspective, the general objective of this research is to identify, analyze, and evaluate the shortcomings of signage for individuals with visual impairments based on the requirements and legal regulations in Ecuador. The methodology was based on collecting photographs of signage located in a higher education institution. These photographs were selected in a way that they encompass the most important characteristics of informative signage. The results show that 44.44% comply with the current regulations in Ecuador, and 66.66% comply with the regulations for the inclusion of individuals with low vision. In the future, it is considered to propose a signage system that incorporates technology.

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Analyzing serious games and literacy

2022 , Pucha G. , Arias Flores, Hugo Patricio , Borja-Galeas C.

Technology allows access to a wealth of resources that facilitate learning, in the case of literacy offers audiovisual resources that streamline cognitive skills. However, pedagogical strategies are required to implement technologies and achieve meaningful learning. Serious games arise as a proposal that seeks the development of learning through the development of activities of the game adjusting to the main way in which it is learned: through what is said and done. In this context, the objective of the research is to establish the use of serious games aimed at reinforcing literacy skills that strengthen the learning of second-year students of EGB. The focus of the research is qualitative with a descriptive scope, in which interviews were conducted with the actors of the educational process. The results show that children fail to develop their literacy skills, due to scarce didactic resources, ignorance of methodologies, lack of practice exercises and poor integration of innovative strategies that stimulate collaborative learning in the learning environment. The development of a strategy based on serious games, from mobile applications for the strengthening of literacy skills, with positive reinforcement and constant feedback, will allow students to maintain interest and develop these skills that are indispensable to continue in the educational process. © 2022 IEEE Computer Society. All rights reserved.

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Analysis of the Spread and Evolution of COVID-19 Mutations in Ecuador Using Open Data

2024 , Guevara Maldonado, César Byron , Dennys Coronel , Byron Salazar , Jorge Salazar , Arias Flores, Hugo Patricio

Currently, the analyses of and prediction using COVID-19-related data extracted from patient information repositories compiled by hospitals and health organizations are of paramount importance. These efforts significantly contribute to vaccine development and the formulation of contingency techniques, providing essential tools to prevent resurgence and to effectively manage the spread of the disease. In this context, the present research focuses on analyzing the biological information of the SARS-CoV-2 viral gene sequences and the clinical data of COVID-19-affected patients using publicly accessible data from Ecuador. This involves considering variables such as age, gender, and geographical location to understand the evolution of mutations and their distributions across Ecuadorian provinces. The Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology is applied for data analysis. Various data preprocessing and statistical analysis techniques are employed, including Pearson correlation, the chi-square test, and analysis of variance (ANOVA). Statistical diagrams and charts are used to facilitate a better visualization of the results. The results illuminate the genetic diversity of the virus and its correlation with clinical variables, offering a comprehensive understanding of the dynamics of COVID-19 spread in Ecuador. Critical variables influencing population vulnerability are highlighted, and the findings underscore the significance of mutation monitoring and indicate a need for global expansion of the research area.

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Mathematical model of intrusion detection based on sequential execution of commands applying pagerank

2020 , Guevara Maldonado, César Byron , Hidalgo, J. , Yandún, M. , Arias Flores, Hugo Patricio , Zapata-Saavedra, L. , Ramirez-Morales, I. , Aguilar-Galvez, F. , Chalco-Torres, L. , Ortiz, D.P.

Cybersecurity in networks and computer systems is a very important research area for companies and institutions around the world. Therefore, safeguarding information is a fundamental objective, because data is the most valuable asset of a person or company. Users interacting with multiple systems generate a unique behavioral pattern for each person (called digital fingerprint). This behavior is compiled with the interactions between the user and the applications, websites, communication equipment (PCs, mobile phones, tablets, etc.). In this paper the analysis of eight users with computers with a UNIX operating system, who have performed their tasks in a period of 2 years, is detailed. This data is the history of use in Shell sessions, which are sorted by date and token. With this information a mathematical model of intrusion detection based on time series behaviors is generated. To generate this model a data pre-processing is necessary, which it generates user sessions (Equation presented), where u identifies the user and m the number of sessions the user u has made. Each session (Equation presented) contains a sequence of execution of commands (Equation presented), that is (Equation presented), where n is the position in wich the C command was executed. Only 17 commands have been selected, which are the most used by each user u. In the creation of the mathematical model we apply the page Rank algorithm [1], the same that within a command execution session (Equation presented), determines which command (Equation presented) calls another command (Equation presented), and determines which command is the most executed. For this study we will perform a model with sb subsequences of two commands, (Equation presented), where the algorithm is applied and we obtain a probability of execution per command defined by (Equation presented). Finally, a profile is generated for each of the users as a signal in time series, where maximum and minimum normal behavior is obtained. If any behavior is outside those ranges, it is determined as intrusive behavior, with a detection probability value. Otherwise, it is determined that the behavior is normal and can continue executing commands in a normal way. The results obtained in this model have shown that the proposal is quite effective in the testing phase, with an accuracy rate greater than 90% and a false positive rate of less than 4%. This shows that our model is effective and adaptable to the dynamic behavior of the user. On the other hand, a variability in the execution of user commands has been found to be quite high in periods of short time, but the proposed algorithm tends to adapt quite optimally. © Springer Nature Switzerland AG 2020.

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Artificial Intelligence and Tomorrow’s Education

2021 , Cóndor-Herrera, Omar , Arias Flores, Hugo Patricio , Jadán Guerrero, Janio , Ramos Galarza, Carlos

Nowadays, there is a rapid technological progress around the world that has enabled realities long ago unimaginable. We live in a technological era that represents new possibilities and challenges for society, and for the educational models in each country [1]. Research on smart education, which has forced the educational community to rethink on new ways of learning and teaching has been developed globally. Due to the advent of artificial intelligence (AI), the educational model for both, teachers and students will change. Nevertheless, to transform educational systems, it is necessary to update and train students, educators, and administrators effectively [2]. This research aims to describe the possible applications of AI in education from: 1) the automation of administrative tasks; 2) collection and analysis of information [3] to create smart content; 3) the implementation of virtual assistants in the teaching-learning process; 4) the potential delivery of lectures by humanoid robots with AI. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Analysis of the Level of Accessibility of Scientific Online Conferences for Blind Participants

2021 , Arias Flores, Hugo Patricio , Sanchez-Gordon S. , Calle-Jimenez T.

The change generated by the virtualization of activities due to the COVID-19 pandemic has transformed the way people participate in countless activities. Scientific conferences, like many other events, were forced by the circumstances to change from face-to-face to online overnight. The goal of this study is to identify the accessibility barriers that the platforms used by scientific online conferences pose for blind participants. The research methodology used was experiential introspection complemented by automated testing. Exploratory tests were conducted by a blind researcher using the JAWS screen reader. Besides, the accessibility evaluation tool WAVE was used to identify non-conformances with the web content accessibility guidelines WCAG. As a result, it was found in some cases a null level of accessibility and, in other cases, complexity was detected in the access to activities. As for no conformances with WCAG, two of the most prominent were empty links and the absence of headings for efficient screen reader navigation. The automated tool showed errors and alerts that need to be fixed in the teleconferencing platforms evaluated. It is presumed that, unfortunately, the moderately or even basic concepts for the participation of users with visual disabilities and blind are not being considered in the platforms used to host virtual scientific conferences. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Kiteracy-PiFo: Technological Tool for Teaching the Rules of Grapheme-Phoneme Correspondence

2025 , María de los Ángeles Carpio-Brenes , Jadán Guerrero, Janio , Arias Flores, Hugo Patricio , Valencia-Aragón, Kevin

This study presents Kiteracy-PiFo, a technological tool designed to teach grapheme-phoneme correspondence to preschool students. Combining computer engineering and special education, the tool was developed to enhance Human-Computer Interaction in early literacy education. Despite challenges, including unforeseen events and technical issues, the tool was successfully implemented across schools in Cartago, Costa Rica. Statistical analysis revealed significant differences in vowel recognition between the experimental group using Kiteracy-PiFo and the control group using traditional methods, with the experimental group achieving higher results in less time. These findings suggest that integrating innovative technologies like Kiteracy-PiFo into educational practices can effectively accelerate learning in early childhood settings. However, successful implementation depends on strong pedagogical support and alignment with psychological principles to meet students’ cognitive and emotional needs.

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Eye-Tracking and Pictograms: Improving Communication and Accessibility for Senior Adults

2024 , Arias Flores, Hugo Patricio , Valencia-Aragón, Kevin , Sandra Sanchez-Gordon

An important factor in exploring the world around us and understanding the cognitive process of individuals is analyzing the characteristics and behavior of the eyes, as they provide reliable information. Improving communication processes with users through visual communication environments can create an accessible environment for virtual interaction. In this context, the global population is aging at a faster rate, leading to social transformation. This population segment may face challenges with language skills, health issues, psychological disorders, and traumas that can limit their ability to speak or move. The purpose of this study is to investigate whether eye-tracking, using the eye-tracking device, will enable senior adults to interact with their caregivers through a pictogram-based interface, allowing them to generate messages and communicate their needs. The research method involves the conceptual development of an experiment designed for senior adults, including the use of an eye-tracking device, calibration tests, and interface responses. This research aims to better understand and promote the importance of meeting the needs and expectations of the elderly segment.

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Twitter Mining for Multiclass Classification Events of Traffic and Pollution

2020 , Chamorro V. , Rivera R. , Varela Aldas, José , Castillo Salazar, David Ricardo , Borja Galeas, Carlos , Guevara Maldonado, César Byron , Arias Flores, Hugo Patricio , Fierro-Saltos W. , Hidalgo-Guijarro J. , Yandún-Velasteguí M.

During the last decade social media have generated tons of data, that is the primal information resource for multiple applications. Analyzing this information let us to discover almost immediately unusual situations, such as traffic jumps, traffic accidents, state of the roads, etc. This research proposes an approach for classifying pollution and traffic tweets automatically. Taking advantage of the information in tweets, it evaluates several machine learning supervised algorithms for text classification, where it determines that the support vector machine (SVM) algorithm achieves the highest accuracy value of 85,8% classifying events of traffic and not traffic. Furthermore, to determine the events that correspond to traffic or pollution we perform a multiclass classification. Where we obtain an accuracy of 78.9%. © Springer Nature Switzerland AG 2020.

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