Person:
Cedillo Orellana, Irene Priscila

Birth Date

1980-12-09

ORCID

0000-0002-6787-0655

Scopus Author ID

55761108900

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad del Azuay, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)

Last Name

Cedillo Orellana

First Name

Irene Priscila

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Search Results

Now showing 1 - 10 of 67

Use and product quality of brain-computer interface (BCI) systems: a systematic literature review
(Springer Science and Business Media Deutschland GmbH, 2022) Moreira Jara, Christian Alexander; Cárdenas Delgado, Paúl Esteban; Cedillo Orellana, Irene Priscila; Cobos Quinde, Juan Manuel
This study presents a systematic review of the literature related to the quality of Brain-Computer Interface (BCI) systems. The main objective of this systematic literature review is to analyze relevant information and what attributes and quality characteristics are used when evaluating the quality of BCI systems. Moreover, some related works are described to contextualize the contribution of this research. In addition, selection and extraction criteria were established to develop this review. In this way, the results showed that Brain-Computer Interface is a comprehensive branch of computer science. Therefore, it has become of great interest and importance in the research field in both industries and academia. Besides, it can be concluded that the most used quality characteristics are efficiency and usability. Finally, it was identified that creating a model quality that covers a research gap in this field is necessary to improve BCI systems quality
VitaApp: augmentative and alternative communication system aimed at older adults
(Springer Verlag, 2021) Cárdenas Delgado, Paúl Esteban; Cedillo Orellana, Irene Priscila; Prado Cabrera, Katerine Daniela; Collaguazo Malla, Christian Xavier; Sánchez Sánchez, William Andrés; Cedillo Orellana, Irene Priscila
Augmentative and Alternative Communication Systems (AACs) is an important study area for people who need alternative ways to communicate their ideas. An AAC web system based on pictograms for the elderly VitaApp is pre- sented in this paper. The system results from the implementation of the last phase of the UIAAC method, which guides the design and implementation of AAC systems aimed at older adults. VitaApp is based on a client-server architecture, divided into three roles: a) administrator, carer: these oversee customizing the interface and have dedicated web applications; b) elderly: they use the AAC application that their caregiver personalizes for them. The graphical interface of the AAC application is evaluated through a case study that was applied to an older adult, his caregiver, and a clinical psychologist; in this, the ease of use, usefulness, and future use of the web application were evaluated. The results show that its users perceive VitaApp as an alternative communication support tool, useful, easy to use, and considered to be used in the future. © 2021, Springer Nature Switzerland AG.
Smart irrigation system for smart farming
(UCLan Chipre, INSPIRE Interdisciplinary Science Promotion & Innovative Research Exploration, 2017) Tenezaca Sari, Pedro Alexander; Piedra Garcia, Christian David; Godoy Mendia, Alberto Steven; Merchán Piedra, Daniel Felipe; Patiño Zaruma, Edisson Fernando; Cedillo Orellana, Irene Priscila
A new developing technology, the internet of things, allows us to capture information from multiple devices like sensors, buildings, and homes. This information is stored in the Cloud and can be used in order to improve a service or enhance decision making. Internet of Things supports a Smart City vision, enhance the quality of public services and the life of its habitants. Smart Farming plays an important role and represents an essential component in Smart Cities. Moreover, the need of decreasing the waste of water has opened new research directions in finding solutions that help in saving water. In this paper, it has been proposed a solution for the intelligent irrigation of any type of crop, taking into account new technologies such as Internet of Things in order to improve irrigation systems. In order to show the feasibility of this proposed, an application of this solution has been presented.
A middleware for managing the heterogeneity of data provining from IoT devices in ambient assisted living environments
(Institute of Electrical and Electronics Engineers Inc., 2020) Cedillo Orellana, Irene Priscila; Riofrío Machado, Xavier Fernando; Prado Cabrera, Katerine Daniela; Orellana, Marcos
Internet of Things (IoT) has been growing exponentially in the commercial market in recent years. It is also a fact that people hold one or more computing devices at home. Many of them have been developed to operate through internet connectivity with cloud computing technologies that result in the demand for fast, robust, and secure services. In most cases, the lack of these services makes difficult the transfer of data to fulfill the devices' purposes. Under these conditions, an intermediate layer or middleware is needed to process, filter, and send data through a more efficient alternative. This paper presents the adaptive solution of a middleware architecture as an intermediate layer between smart devices and cloud computing to enhance the management of the heterogeneity of data provining from IoT devices. The proposed middleware provides easy configuration, adaptability, and bearability for different environments. Finally, this solution has been implemented in the healthcare domain, in which IoT solutions are deployed into Ambient Assisted Living (AAL) environments.
Towards a Method to Create Microlearning Capsules: Bullying and Cyberbullying Domain
(Institute of Electrical and Electronics Engineers, 2022) Cedillo Orellana, Irene Priscila; Illescas Peña, Lourdes Eugenia; Peña Contreras, Eva Karina; Cárdenas Delgado, Paúl Esteban; Sánchez Zhunio, Bertha Cristina; Valdez Solis, Wilson Fernando
The development of new information and communication technologies (ICTs) has become widespread due to the technology development and the COVID-19 pandemic; consequently, internet use has increased and impacted different social areas, like communication, education, and the way people relate. Therefore, increasing the cases of bullying and cyberbullying in children and teenagers. In addition, instructional tools, such as microlearning, have emerged in education, allowing for compressing and massifying educational content from different areas of knowledge. This tool aims to reduce learning time and can be deployed on any platform without using traditional means of learning. This paper presents an overview of a method for creating learning capsules in the domain of bullying and cyberbullying named LeCCMe. This method is based on the ADDIE instructional model and incorporates a diffusion phase to reach the largest possible population. Finally, a case study is presented, in which a learning capsule has been created to prevent bullying and cyberbullying
Cognitive interventions based on technology: a systematic literature review
(Springer International Publishing AG, 2021) Bolaños Pasquel, Mónica Fernanda; Ramos Galarza, Carlos Alberto; Condor Herrera, Italo Omar; Arias Flores, Hugo Patricio; Jadan Guerrero, Janio Lincon; Cedillo Orellana, Irene Priscila
This article reports a systematic review of research done about the positive impact of cognitive treatment for people with some type of brain disorder through the use of inclusive technologies. The article collected 21 publications of high impact magazines uncovering that countries such as Spain, France, and Russia have a significant number of contributions on this topic. Inclusive technological innovations which are intended for work on brain functions such as attention, memory, verbal fluency, problem-solving and behavior regulation have been mainly developed in devices such as Tablets and Robots. The data discussed highlights the need to continue in this line of research to determine the effect of this type of intervention, as well as the future projection of developing new technological devices facilitating human brain functions.
Usability model of augmentative and alternative communication systems and pictographic systems in people with disabilities
(IEEE, 2021) Cedillo Orellana, Irene Priscila; Abad Rojas, Freddy Andrés; Sánchez Sánchez, William Andrés; Collaguazo Malla, Christian Xavier; Cuvi Brito, Jonnathan Darwin; Prado Cabrera, Katerine Daniela
Technological Augmentative and Alternative Communication Systems (AACS) based on pictograms are used concurrently today. They are expressed differently from oral language and compensate for communication difficulties with some verbal language limitations. Due to the specific requirements by people with special abilities, those systems must guarantee satisfaction, efficiency, and effectiveness during the users' communication. Also, the usability of those applications must demonstrate high usability characteristics. In this context, this paper presents an AACSS usability model, which can be used to evaluate pictographic systems oriented to people with disabilities. This contribution is based on a quality approach to assessing the quality of this kind of software product. The model is aligned with the ISO/IEC 25010 standard, which defines a set of main usability characteristics. Additionally, the ISO 14915-1 standard was considered, which addresses user interfaces for applications that incorporate text and interactive multimedia. Likewise, the ISO 9241-210 standard was used, which proposes characteristics, sub-characteristics, and metrics through design guides of Human-Computer Interfaces for interactive systems. The standards above allow the establishment of characteristics, sub-characteristics, attributes, and metrics of AACSs to quantify each attribute and identify any usability problems that may exist. Also, it is presented an evaluation method that uses the given usability model. Finally, an experiment that applies the proposed solution is carried out in which users have evaluated two pictographic AACSS mobile applications.
Outlier detection with data mining techniques and statistical methods
(Institute of Electrical and Electronics Engineers Inc., 2019) Orellana Cordero, Marcos Patricio; Cedillo Orellana, Irene Priscila
The outlier detection in the field of data mining and Knowledge Discovering from Data (KDD) is capturing special interest due to its benefits. It can be applied in the financial area; because the obtained data patterns can help finding possible frauds and user errors. Therefore, it is essential to assess the truthfulness of the information. In this context, data auditory process uses techniques of data mining that play a significant role in the detection of unusual behavior. Here, a method for detecting values that can be considered as outliers in a nominal database is proposed. The basic idea in this method is to implement: a Global k-Nearest Neighbors algorithm, a clustering algorithm named k-means, and a statistical method of chi-square. The application of algorithms has been developed with a database of candidate people for the granting of a loan. Each test was made on a dataset of 1180 registers in which outliers have been introduced deliberately. The experimental results show that the method is able to detect all introduced values, which were previously labeled to be differentiated. Consequently, there were found a total of 48 tuples with outliers of 11 nominal columns. © 2019 IEEE.
Alternatives for Designing Augmentative and Alternative Communication Systems for People with Disabilities and Older Adults
(Springer, 2023) Cedillo Orellana, Irene Priscila
Augmentative and Alternative Communication Systems (AACS) provide a variety of forms of expression used to improve the communication skills of people with disabilities and/or older adults. These systems consist of physical or digital communicator boards that use pictograms to represent an object, a person or an action. The objective of this article is to analyze some easy-to-implement alternatives of SAACs systems, including low-cost digital resources such as websites and Apps; as well as both high devices such as virtual assistants, AI chatbots like GPT, and tangible interfaces. The research analyzes the difficulties that older adults have in activities of daily living, and a proposal is presented that allows to adapt in a dynamic and scalable way. The prototypes generated allowed us to identify some strengths and weaknesses of the possible solutions. These results provide an opportunity for technology designers to take on board the recommendations and use them to design more robust systems adapted to their environment. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
A data quality model for AAL systems
(Springer Nature Switzerland AG 2020, 2020) Erazo Garzón, Lenin Xavier; Erráez Jumbo, Jean Gabriel; Illescas Peña, Lourdes Eugenia; Cedillo Orellana, Irene Priscila
Ambient Assisted Living (AAL) aims to improve the quality of life of people, supporting them in their daily activities by the use of information technologies. The AAL systems are preferably focused on vulnerable groups (e.g., elderly people, people with special needs, children, patients with chronic diseases) to increase their independence in their natural living environment. These systems work in real time and their correct operation depends on the inferred knowledge of the data collected from sensors or other sources, thus the assurance of the quality of data is a priority aspect, especially in those systems that can put in risk the life of people. Currently, the research in this line is limited, there are not data quality models with a complete set of attributes and metrics adjusted to the AAL domain. This work proposes a data quality model for AAL systems conformed by the following characteristics: accuracy, completeness, currentness, confidentiality, accessibility, understandability and compliance; and their corresponding metrics. Finally, the application of the model to an intelligent pillbox, showed that it is a complete and valuable tool to evaluate the degree to which the quality of data is reached and preserved by an AAL system.