Papers by Luis Anjos
IEEE Transactions on Learning Technologies, 2022
The use of virtual reality (VR) for industrial training helps minimize risks and costs by allowin... more The use of virtual reality (VR) for industrial training helps minimize risks and costs by allowing more frequent and varied use of experiential learning activities, leading to active and improved learning. However, creating VR training experiences is costly and time-consuming, requiring software development experts. Additionally, current authoring tools lack integration with existing data and are desktop-oriented, which detach the pedagogic process of creating the immersive experience from experiencing it in a situated context. In this article, we present a novel interactive approach for immersive authoring of VR-based experiential training by the trainers themselves, from inside the virtual environment and without the support of development experts. The design includes identifying interactable elements, such as 3-D models, equipment, tools, settings, and environment. The trainer also specifies by demonstration the actions to be performed by trainees, as a virtual choreography. During course execution, trainees' activities are also registered as virtual choreographies and matched to those specified by the trainer. Thus, trainer and trainee are culturally situated within their area semantics and social discourse, rather than adopting concepts of the VR system for the learning content. We conducted a usability case study with professionals from an international wind energy company, using detailed models of wind turbines and real-world procedures. Trainers set up a training course using the immersive authoring tool, and trainees executed the course. The learning experience and usability were analyzed, and the training was certified by comparing real-world task completion between a user who had undergone virtual training and a user who did not.
The evolution of the Human-Technology interaction is accelerating in an exponential growth patter... more The evolution of the Human-Technology interaction is accelerating in an exponential growth pattern; everyday, new hardware solutions related with Brain Computer Interface, Internet of Things, Virtual/Augmented Reality and other devices can enhance bodies and minds quantifying information of the environment to sustain mixed realities; the implementation of new paradigms, models and methodologies in software development and many other engineering advances allows the creation of personal assistants, autonomous agents and cognitive computing based on: machine representation and deep learning algorithms, powered by cloud computing platforms over distributed layers; according to the trends, Artificial Intelligence will be the most important tool of humanity and probably our last invention, even if we could mitigate all the risks associated including human stupidity itself; AI could effectively be the new electricity when contemporary and new approaches like meta and reinforcement learning will be executed in a fast and scalable network using more processing power than the popular binary computing available now. The main intention of this essay is to share the experiences and perspectives of a researcher and a software developer following the philosophic path of the transhumanism and exploring some of the building blocks of AI with a singular vision about a positive future with abundance for everyone.
RoboCode was developed with the main intention of speed up the learning of specific programming l... more RoboCode was developed with the main intention of speed up the learning of specific programming languages; this paper explains some possible implementations of behaviors that mimic emotions in this playing field accelerating the learning of autonomous systems basic programming. We explore also the application of a simple logic OCC model to adapt the strategy of the emotional tank based in environment events and vital information.
Considerando que a implementação de reconhecimento de padrões baseado em EEG poderá simplificar d... more Considerando que a implementação de reconhecimento de padrões baseado em EEG poderá simplificar de forma significativa a interface entre uti-lizadores humanos e aplicações executadas por máquinas; este paper pretende resumir algumas das experiencias realizadas no âmbito do projeto de investiga-ção da especialização em Sistemas Inteligentes durante a qual usando o SDK do Emotiv [1], foram produzidas e analisadas amostras com o objetivo de extrair características específicas que possam ser usadas como inputs por outros siste-mas.
Teaching Documents by Luis Anjos
Mestrado em Engenharia Informática
Bases de dados, Aprendizagem, Representação e Extração de Conh... more Mestrado em Engenharia Informática
Bases de dados, Aprendizagem, Representação e Extração de Conhecimento
Ano Lectivo 2011 / 2012
APP gene encodes a cell surface receptor and transmembrane precursor protein that is cleaved by s... more APP gene encodes a cell surface receptor and transmembrane precursor protein that is cleaved by secretases to form a number of peptides. Some of these peptides are secreted and can bind to the acetyltransferase complex APBB1/TIP60 to promote transcriptional activation, while others form the protein basis of the amyloid plaques found in the brains of patients with Alzheimer disease. Mutations in this gene have been implicated in autosomal dominant Alz-heimer disease and cerebroarterial amyloidosis (cerebral amyloid angiopathy).
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Papers by Luis Anjos
Teaching Documents by Luis Anjos
Bases de dados, Aprendizagem, Representação e Extração de Conhecimento
Ano Lectivo 2011 / 2012