Dr. Allan Berrocal Rojas
Labor:
Unidad académica:
Es estudiante:
No
Programa en que estudia:
Proyectos
Edificios inteligentes y computación afectiva para mejorar la interacción humano robot
Número de proyecto:
834-C2-145
De 07/Mar/2022 hasta 06/Mar/2026
Monitoreo de la actividad solar desde Costa Rica para la implementación de herramientas computacionales en la predicción del clima espacial
Número de proyecto:
C3726
De 13/Mar/2023 hasta 01/Mar/2028
Publicaciones
Concurrent and Distributed Pseudocode: A Systematic Literature Review
Dic
2021
Descripción:
Pseudocode is a valuable resource used in programming education, software development, and scientific reports for designing algorithmic solutions as it is easy to write, understand, and modify. Since pseudocode is lacking in its ability to be tested, it is difficult to determine whether a pseudocode solution is correct or not. Software tools are specially required to reach this goal, e.g., helping professors find race conditions, deadlocks, or starvation issues while grading students’ concurrent pseudocode. Although there are various tools to work with sequential pseudocode, there is a lack of tools to work with concurrent pseudocode. This shortage motivated us to determine the state-of-the-art in notations and tools for testing concurrent and distributed pseudocode. We conducted a systematic literature review and found only a few related publications, confirming that this topic is understudied. We found and report about five software tools capable of interpreting concurrent or distributed pseudocode, and two software tools capable of verifying its correctness. As another result, no other literature review was found about this topic, conferring novelty to the contributions of this work.
Tipo de publicación: Conference Paper
Publicado en: 2021 XLVII Latin American Computing Conference (CLEI)
Understanding Students' Perspectives About Human-Building Interactions in the Context of Smart Buildings
Nov
2023
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)