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Publications

Publications by HumanISE

2021

A Model to Enable the Reuse of Metadata-Based Frameworks in Adaptive Object Model Architectures

Authors
Guerra, E; Dias, AD; Veras, LGDO; Aguiar, A; Choma, J; Da Silva, TS;

Publication
IEEE ACCESS

Abstract
The Adaptive Object Model (AOM) is an architectural style in which domain entity types are represented as instances that can be changed at runtime. It can be used to achieve higher flexibility in domain classes. Due to AOM entities having a distinct structure, they are not compatible with most popular frameworks, especially those that use reflection and code annotations. To solve such limitations, this study aims to propose a model that enables the reuse of frameworks designed for classic object-oriented domain models in an AOM application. The proposed model uses dynamically-generated adapters for AOM entities that encapsulate them in a class with the format expected by the frameworks. A reference implementation was developed in the Esfinge AOM RoleMapper framework to evaluate the viability of the proposed model. Initially, to evaluate the solution feasibility, a case study was carried out using the Hibernate framework. Further, an experiment was conducted to assess how the participants perceived the framework functionality reuse through the proposed model. The feasibility study revealed that the solution could be applied in a complex setting for the chosen object-relational mapping frame. It raised some difficulties that can be addressed in future studies. In the experiment, the development time did not present a significant difference compared to the competing approach. Despite the considerable learning curve, most participants considered that the proposed approach has more advantages than the alternative. Based on the evaluations, we can conclude that the proposed model can be successfully employed to use AOM entities with frameworks that were not designed for AOM applications. The possibility of reusing existing frameworks can reduce the effort required to adopt an AOM architecture and, consequently, be a facilitator in implementing more flexible and adaptive approaches.

2021

Handling Privacy Preservation in a Software Ecosystem for the Querying and Processing of Deep Sequencing Data

Authors
Rocha, A; Costa, A; Oliveira, MA; Aguiar, A;

Publication
ERCIM NEWS

Abstract
iReceptor Plus will enable researchers around the world to share and analyse huge immunological distributed datasets, from multiple countries, containing sequencing data pertaining to both healthy and sick individuals. Most of the Adaptive Immune Receptor Repertoire sequencing (AIRR-seq) data is currently stored and curated by individual labs, using a variety of tools and technologies.

2021

FEEdBACk: An ICT-Based Platform to Increase Energy Efficiency through Buildings' Consumer Engagement

Authors
Soares, F; Madureira, A; Pages, A; Barbosa, A; Coelho, A; Cassola, F; Ribeiro, F; Viana, J; Andrade, J; Dorokhova, M; Morais, N; Wyrsch, N; Sorensen, T;

Publication
ENERGIES

Abstract
Energy efficiency in buildings can be enhanced by several actions: encouraging users to comprehend and then adopt more energy-efficient behaviors; aiding building managers in maximizing energy savings; and using automation to optimize energy consumption, generation, and storage of controllable and flexible devices without compromising comfort levels and indoor air-quality parameters. This paper proposes an integrated Information and communications technology (ICT) based platform addressing all these factors. The gamification platform is embedded in the ICT platform along with an interactive energy management system, which aids interested stakeholders in optimizing "when and at which rate" energy should be buffered and consumed, with several advantages, such as reducing peak load, maximizing local renewable energy consumption, and delivering more efficient use of the resources available in individual buildings or blocks of buildings. This system also interacts with an automation manager and a users' behavior predictor application. The work was developed in the Horizon 2020 FEEdBACk (Fostering Energy Efficiency and BehAvioral Change through ICT) project.

2021

NINJA TURTLES RACE: A REACTION TIME TEST TO STUDY AND ASSESS THE FOCUS OF ATTENTION, MOTOR, AND COGNITIVE SKILLS IN CHILDREN'S LEARNING PROCESSES

Authors
Sousa, D; Coelho, A; Bernardes, G; Correia, N;

Publication
INTED2021 Proceedings

Abstract

2021

Visiting museums from the perspective of visually impaired visitors: Experiences and accessibility resources in portuguese museums

Authors
Vaz, R; Freitas, D; Coelho, A;

Publication
International Journal of the Inclusive Museum

Abstract
Although new, renewed, and innovative museum experiences are constantly provided to the sighted public, millions of visually impaired persons worldwide are still deprived of access to enjoying and engaging with collections. This research aims to investigate the limitations of blind or partially sighted persons in visiting a museum nowadays. Semistructured interviews with seventy-two visually impaired Portuguese individuals revealed reasons and factors that contribute to positive and negative visiting experiences, and the assessment of sixteen accessibility resources demonstrates their frequency and potential usefulness in museum visits. It concludes that the actual limited experiences in museums could be surpassed and enhanced by moving beyond accessibility, embracing inclusion, and focusing on the creation of multimodal and multisensory approaches to promote exceptional, memorable, and exciting visiting opportunities for all.

2021

A Novel Tool for Immersive Authoring of Experiential Learning in Virtual Reality

Authors
Cassola, F; Pinto, M; Mendes, D; Morgado, L; Coelho, A; Paredes, H;

Publication
2021 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS (VRW 2021)

Abstract
Training in VR can reduce risks and costs while allowing frequent and diversified experiential learning activities. We present a novel VR immersive authoring tool for experiential learning courses with industrial machinery. A trainer can create a course from scratch, defining all its components (structure, models, tools, and settings). The actions which trainees should perform can be specified by demonstration. After completing the course, trainees' actions will be matched against the trainer's.

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