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Sobre

Sobre

Dennis recebeu o grau de Mestre em Engenharia Informática na UTAD em Dezembro de 2018. Ele participou desde Setembro de 2016 até Dezembro de 2018 no projeto NanoStima RL2 - Passus Mobile, sendo responsável pelo desenvolvimento de um sistema que supervisiona o exercício nas pessoas com doença arterial periférica. No período entre Janeiro de 2019 e Novembro de 2019, fez parte do projeto Ecsaap, com o objetivo de desenvolver um sistema informático para a visualização e deteção de fenómenos metereológicos.

Em Dezembro de 2019 começou o Doutoramento em Informática na UTAD, com bolsa financiada pela FCT.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Dennis Lourenço Paulino
  • Cluster

    Informática
  • Cargo

    Assistente de Investigação
  • Desde

    01 setembro 2016
002
Publicações

2022

Uncovering the Potential of Cognitive Personalization for UI Adaptation in Crowd Work

Autores
Paulino, D; Correia, A; Guimarães, D; Barroso, J; Paredes, H;

Publicação
25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022, Hangzhou, China, May 4-6, 2022

Abstract
Crowdsourcing has received considerable attention over the last fifteen years and has been the subject of several experiments that demonstrate its large potential for use in real-world situations. With the rapid growth of and access to crowd work environments, there is a need for new ways to ensure more equitable access for all people. Task design is one of the core aspects of the crowdsourcing process and its optimization is a priority for many requesters that want to have their tasks solved in short times and with high levels of accuracy. Aligned with this goal, a cognitive personalization framework can make it feasible to assess the information processing preferences of crowd workers in order to provide a useful user interface (UI) adaptation. In an effort to address this issue, this study recruited a total of 64 crowd workers to take cognitive style tests and perform prototypical tasks. The results indicate that it is possible to apply short tests and then obtain some useful indicators for better matching tasks to workers with implications for improving the general outcomes and acceptance rates in crowdsourcing.

2022

Cognitive Personalization in Microtask Design

Autores
Paulino, D; Correia, A; Reis, A; Guimaraes, D; Rudenko, R; Nunes, C; Silva, T; Barroso, J; Paredes, H;

Publicação
UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION: NOVEL DESIGN APPROACHES AND TECHNOLOGIES, UAHCI 2022, PT I

Abstract

2022

Impact of Different Levels of Information Presentation on User Experience: A Case Study in a Virtual World

Autores
Silva, A; Sousa, C; Paulino, D; Sousa, M; Melo, M; Bessa, M; Paredes, H;

Publicação
INFORMATION SYSTEMS AND TECHNOLOGIES, WORLDCIST 2022, VOL 2

Abstract
User experience can be affected by the amount and intensity of information presented. Four scenarios were developed to assess the insertion of information elements (chronometer and hint system) and tested with 37 users to find out if they affected the user's sense of presence and symptoms of cybersickness. In order to instruct users and using virtual reality using the Unity 3D game engine, we created a virtual world where the user has the role of exploring the environment and looking for mushrooms, and can consult a description about it. For tests with users, the IPQp and SSQ questionnaires were applied. The results indicate that it is possible to create a virtual world with the addition of informational components without significantly disturbing the user experience. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2022

A Review on Computer Vision Technology for Physical Exercise Monitoring

Autores
Khanal, SR; Paulino, D; Sampaio, J; Barroso, J; Reis, A; Filipe, V;

Publicação
ALGORITHMS

Abstract
Physical activity is movement of the body or part of the body to make muscles more active and to lose the energy from the body. Regular physical activity in the daily routine is very important to maintain good physical and mental health. It can be performed at home, a rehabilitation center, gym, etc., with a regular monitoring system. How long and which physical activity is essential for specific people is very important to know because it depends on age, sex, time, people that have specific diseases, etc. Therefore, it is essential to monitor physical activity either at a physical activity center or even at home. Physiological parameter monitoring using contact sensor technology has been practiced for a long time, however, it has a lot of limitations. In the last decades, a lot of inexpensive and accurate non-contact sensors became available on the market that can be used for vital sign monitoring. In this study, the existing research studies related to the non-contact and video-based technologies for various physiological parameters during exercise are reviewed. It covers mainly Heart Rate, Respiratory Rate, Heart Rate Variability, Blood Pressure, etc., using various technologies including PPG, Video analysis using deep learning, etc. This article covers all the technologies using non-contact methods to detect any of the physiological parameters and discusses how technology has been extended over the years. The paper presents some introductory parts of the corresponding topic and state of art review in that area.

2021

Supervised physical exercise therapy of peripheral artery disease patients: M-health challenges and opportunities

Autores
Paredes, H; Paulino, D; Barroso, J; Abrantes, C; Machado, I; Silva, I;

Publicação
54th Hawaii International Conference on System Sciences, HICSS 2021, Kauai, Hawaii, USA, January 5, 2021

Abstract