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Publications

Publications by CSIG

2020

Visual Self-healing Modelling for Reliable Internet-of-Things Systems

Authors
Dias, JP; Lima, B; Faria, JP; Restivo, A; Ferreira, HS;

Publication
Lecture Notes in Computer Science - Computational Science – ICCS 2020

Abstract

2020

Authoring Game-Based Learning Activities that are Manageable by Teachers

Authors
Cardoso, P; Morgado, L; Coelho, A;

Publication
ERCIM NEWS

Abstract
The great ambition of using games as the cornerstone of education is hindered by its associated teaching workload. The BEACONING project developed a framework based on an authoring tool for gamified lesson paths, which has been rolled-out in large scale across Europe. It includes stages for planning game-based educational activities, plus their deployment, monitoring, and assessment.

2020

A gamification platform to foster energy efficiency in office buildings

Authors
Iria, J; Fonseca, N; Cassola, F; Barbosa, A; Soares, F; Coelho, A; Ozdemird, A;

Publication
Energy and Buildings

Abstract

2020

Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

Authors
Becker, D; Bremer, V; Funk, B; Hoogendoorn, M; Rocha, A; Riper, H;

Publication
EVIDENCE-BASED MENTAL HEALTH

Abstract
Background Self-reported client assessments during online treatments enable the development of statistical models for the prediction of client improvement and symptom development. Evaluation of these models is mandatory to ensure their validity. Methods For this purpose, we suggest besides a model evaluation based on study data the use of a simulation analysis. The simulation analysis provides insight into the model performance and enables to analyse reasons for a low predictive accuracy. In this study, we evaluate a temporal causal model (TCM) and show that it does not provide reliable predictions of clients' future mood levels. Results Based on the simulation analysis we investigate the potential reasons for the low predictive performance, for example, noisy measurements and sampling frequency. We conclude that the analysed TCM in its current form is not sufficient to describe the underlying psychological processes. Conclusions The results demonstrate the importance of model evaluation and the benefit of a simulation analysis. The current manuscript provides practical guidance for conducting model evaluation including simulation analysis.

2020

Virtual reality in training: an experimental study with firefighters

Authors
Narciso, D; Melo, M; Raposo, JV; Cunha, J; Bessa, M;

Publication
Multimedia Tools and Applications

Abstract
Training with Virtual Reality (VR) can bring several benefits, such as the reduction of costs and risks. We present an experimental study that aims to evaluate the effectiveness of a Virtual Environment (VE) to train firefighters using an innovative approach based on a Real Environment (RE) exercise. To measure the VE’s effectiveness we used a Presence Questionnaire (PQ) and participant’s cybersickness, stress and fatigue. Results from the PQ showed that participants rated the VE with high spatial presence and moderate realness and immersion. Signs of stress, analyzed from participant’s Heart-Rate Variability, were shown in the RE but not in the VE. In the remaining variables, there was only an indicative difference for fatigue in the RE. Therefore, the results suggest that although our training VE was successful in giving participants spatial presence and in not causing cybersickness, its realness and immersion provided were not enough to provoke a similar RE response. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

2020

A Comparative Study Between Wired and Wireless Virtual Reality Setups

Authors
Goncalves, G; Monteiro, P; Melo, M; Vasconcelos Raposo, J; Bessa, M;

Publication
IEEE Access

Abstract

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