Tipo de publicación: Conference Paper

Publicado en: Learning and Collaboration Technologies. Technology in Education

Tipo de publicación: Conference Paper

Publicado en: International Conference on Technological Ecosystems for Enhancing Multiculturality

Descripción:

One of the basic requirements in education is to prepare students for participation in an information society in which knowledge will be the most important resource for development. ComputerSupported Collaborative Learning is one of the most promising approaches to enhance the learning process with the help of information and communication technology. At the same time, advances in technology and mobile devices in the last decade have increased the number of educational institutions adopting mobile tools in the learning process. This paper describes the design and implementation of a protocol for a collaborative mobile application. TITIBOTS Colab is a programming environment for kids between 4 and 6 years old. During the implementation of TITIBOTS Colab, while creating a working version of the protocol, our team found that all messages defined in the design worked properly in order to provide the communication rules for the client and server applications.

Tipo de publicación: Conference Paper

Publicado en: International Conference on Technological Ecosystems for Enhancing Multiculturality

Tipo de publicación: Conference Paper

Publicado en: Conferencia Internacional GUIDE

Tipo de publicación: Conference Paper

Publicado en: Programación de robots para niños de la primera infancia con edades comprendidas entre 4-6 años

Descripción:

A non-humanoid robot is used to assist in an educational workshop of Quality Assurance and DevOps. The goal of this research was to determine the level of engagement shown by students of computer science in a presentation conducted by a University professor and assisted by a robot. The robot interaction was based on the Wizard of Oz technique. The order of actions between the professor and the robot was scripted and practiced before the workshop. After the workshop, a survey was conducted to assess the students’ perception towards robot’s shape, size, behavior and, performance. The survey also included the Godspeed Questionnaire Series to measure participant’s perception of the robot and its effectiveness as an educational assistant. The results revealed the participants considered the robot featured personalized cognitive skills and exhibited an acceptable integration in the workshop.

Tipo de publicación: Conference Paper

Publicado en: Advances in Intelligent Systems and Computing

Descripción:

It is very common to interact with notifications every day with our mobile devices. Notifications have advantages and disadvantages. They bring information for the user, but they are also interruptions. In this study, the authors provide a solution for scheduling events through notifications. They created an application using the Google Calendar platform and the Swift programming language to respond to events through notifications. Then, the participants evaluated the application through the usability scale of the system (SUS), and the results were positive. The authors received excellent comments and feedback from the participants in the evaluation.

Tipo de publicación: Conference Paper

Publicado en: 2019 IV Jornadas Costarricenses de Investigación en Computación e Informática (JoCICI)

Descripción:

By using techniques such as the Wizard of Oz (WoZ) and video capture, this paper evaluated the performance of the Nao Robot in the role of a personal assistant, which was valuated alongside the impact of the assigned gender (male/female) in the perceived performance of the robot assistant. Within a sample size of 39 computer sciences students, this study assessed criteria such as: perceived enjoyment, intention to use, perceived sociability, trust, intelligence, animacy, anthropomorphism, and sympathy, utilizing testing tools such as Unified Theory of Acceptance and Use of Technology (UTAUT) and Godspeed Questionnaire (GSQ). These methods identified a significant effect of the gender assigned to the robot in variables such as intelligence and sympathy.

Tipo de publicación: Journal Article

Publicado en: Proceedings

Descripción:

Due to the measures imposed to prevent the spread of the virus during the COVID-19 pandemic, how education and work communications are carried have changed. An increase in video conferencing and meeting applications is noticeable. In this research paper, we describe the results of a user experience evaluation of three widely used platforms: Discord, Microsoft Teams, and Zoom. Through the User Experience Questionnaire (UEQ) application, it was determined that Discord is better in aspects not related to tasks and provides an above-average UX. On the other hand, zoom excels when it comes to tasks, but in conjunction with Microsoft Teams, it delivers below-average UX.

Tipo de publicación: Book Chapter

Publicado en: Lecture Notes in Networks and Systems

Descripción:

Smart buildings provide a variety of sensor-based services to support and enhance the quality of human activities. Advanced technologies such as robotics are increasingly added to smart buildings’ ecosystems, creating a need to incorporate affective computing techniques to augment the quality of human-building, and human-robot interactions. To better understand user’s needs and expectations about human-building interactions, we conducted a pilot study using a mixed methods approach combining short surveys and controlled laboratory activities. We recruited 66 participants and collected several data elements characterizing their perceptions and expectations about smart building services. This paper presents preliminary evidence showing acceptance of specific human-building interaction methods based on ambient-sensors information such as in-context voice, behavior, and emotion, recognition. We also identified a need for educational activities to promote the understanding of smart building concepts and their impact in modern society. These results can be leveraged to assist the design of future services that include human-building and human-robot interactions.

Tipo de publicación: Book Chapter

Publicado en: Proceedings of the 15th International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2023)

Descripción:

The following literature review aims to identify platforms related to usability evaluation, user experience, and accessibility in health studies, to outline essential elements for consideration in developing, implementing and assessing of eHealth applications. After retrieving studies, 38 studies related to health and mobile Health (mHealth) were found, involving 1611 users in evaluating and validating sites or applications. Among the results obtained, 54% of the responses referred to user experience (UX), 44% to usability, and 2% to accessibility, indicating that this area presents an opportunity for further studies.

Tipo de publicación: Conference Paper

Publicado en: 2024 IEEE VII Congreso Internacional en Inteligencia Ambiental, Ingeniería de Software y Salud Electrónica y Móvil (AmITIC)

Descripción:

Thalassemia, a hereditary blood disorder, causes abnormal hemoglobin production—alpha- and beta-thalassemia are its variants. This leads to decreased hemoglobin levels and accounted for 16,800 deaths in 2015, affecting 1.5% of the global population. Diagnosis involves blood tests and genetic screening, but many severe cases go undiagnosed due to limited registries and screening, resulting in high mortality. Our work suggests using gene expression profiling and machine learning to identify biomarkers for thalassemia. Using an Isolation Forest algorithm, we found 72 anomalous genes. Validation showed significant terms like cytoplasmic translation and apoptosis, indicating potential pathways for thalassemia. We also found genes related to iron homeostasis, linking oxidative stress and apoptosis to thalassemia. Comparing with another study, we found common processes. Five genes identified in AmiGO are up-regulated in thalassemia and could be biomarkers due to their abnormal expression and biological role. This highlights the potential of machine learning in refining diagnosis and understanding molecular pathways for better patient management, calling for further research.

Tipo de publicación: Book Chapter

Publicado en: ICT for Intelligent Systems

Descripción:

Malicious URLs are constantly used for phishing, malware distribution and other illegal activities. Because benign URLs are needed for the Internet to function, malicious URLs are hard to block. While several works have focused on offline classification of malicious URLs, real-time detection still needs to be investigated. This paper evaluates the performance of real-time malicious URL detection using two techniques: blacklist methods and machine learning methods, deployed in both local and cloud environments. The study highlights significant differences in latency and connection failure rates under various load conditions, providing insights into the strengths and limitations of each approach. The blacklist method consistently demonstrates lower latency, making it suitable for scenarios requiring quick response times, though its stability may be compromised under high loads in a local setup. In contrast, the machine learning method offers advanced detection capabilities but exhibits higher latency, particularly in local environments, due to its resource-intensive nature. The cloud environment mitigates some latency issues but still lags behind the blacklist method in terms of speed. The findings emphasize that most latency stems from the verification process, with the local environment requiring significant optimization to reduce delays. The study concludes that implementing a proxy for real-time URL detection is viable, especially in cloud environments, where resource management can better handle increased demand.

Tipo de publicación: Conference Paper

Publicado en: 2024 IEEE Latin-American Conference on Communications (LATINCOM)