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Publicações

Publicações por Luís Paulo Reis

2019

Preface [Prefácio]

Autores
Rocha, Á; Pedrosa, I; Cota, MP; Gonçalves, R;

Publicação
Iberian Conference on Information Systems and Technologies, CISTI

Abstract

2019

Qualitative Data Analysis Software Packages: An Integrative Review

Autores
Andrade, LR; Costa, AP; Linhares, RN; de Almeida, CA; Reis, LP;

Publicação
COMPUTER SUPPORTED QUALITATIVE RESEARCH: NEW TRENDS ON QUALITATIVE RESEARCH

Abstract
The Computer Assisted Qualitative Data Analysis Software Packages (CAQDAS) can be understood as a means of assisting the researcher in the treatment, organization and analysis of qualitative data for developing research or projects that deal with qualitative data. This type of software stands out and are sought after because they allow the qualitative analysis to be done in diverse formats (audio, video, image, text), levels of collaborative work (individual, two people working at the same time or more than two), and with distinct possibilities of organizing the data surveyed. This article aims to present an integrative review about the most relevant CAQDAS in Ibero-American, highlighting the potential of (i) data organization, (ii) variety of supports, (iii) mobility, and (iv) interaction with social networks.

2019

New Knowledge in Information Systems and Technologies - Volume 1, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April, 2019

Autores
Rocha, A; Adeli, H; Reis, LP; Costanzo, S;

Publicação
WorldCIST (1)

Abstract

2019

New Knowledge in Information Systems and Technologies - Volume 3

Autores
Rocha, A; Adeli, H; Reis, LP; Costanzo, S;

Publicação
WorldCIST (3)

Abstract

2019

Player Engagement Enhancement with Video Games

Autores
Reis, S; Reis, LP; Lau, N;

Publicação
New Knowledge in Information Systems and Technologies - Volume 2, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April

Abstract
This work aims to present and summarize the identified main research fields about player engagement enhancement with video games. The expansion of video game diversity, complexity and applicability increased development costs. New approaches aim to automatize the design process by developing algorithms that can understand players requirements and redesign games on the fly. Multiplayer games have the added benefit of socially engage all involved parties through game-play. But balancing becomes more important as feeling overwhelmed by a stronger opponent may be demotivating, as feeling underwhelmed by a weaker adversary that cannot provide enough challenge and stimulation. Our research concludes that there is still lack of research effort in the identified fields. This may be due to the lack of academy incentive on the subject. The entertainment industry depends on game quality to increase their revenue, but lack interest on sharing their knowledge. We identify potential application on Serious Games. © Springer Nature Switzerland AG 2019.

2019

Multi-Agent Deep Reinforcement Learning with Emergent Communication

Autores
Simões, DA; Lau, N; Reis, LP;

Publicação
International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019

Abstract

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