Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About

About

Arsénio Reis (M) is an Informatics Specialist at the University of Trás-os-Montes e Alto Douro (UTAD). He earned a doctorate by UTAD in 2015, and in 2016 was admitted as researcher at the INESC-TEC CSIG research center. From 2006 to 2009, he served as Informatics Technical Coordinator, and from 2009 to 2014, he served as Director of the Informatics and Communications Services at UTAD. In 2007, he completed the Diploma of Specialization in Information Society and Innovation in Public Administration (DESIIAP), at the National Administration Institute (INA), and in 2009 he completed the Course of High Management of Public Administration (CADAP), at INA. During his career, he has been deeply involved in research and development projects, together with private and public partners, having represented UTAD in several occasions, such as, elected member of the UTAD’s General Council, from 2009 to 2012, and member of the executive committee of the European Information Systems Association (EUNIS), from 2009 to 2014. His main research interests have for long being in the areas of Information Systems and Software Engineering, and more recently, in the areas of Accessibly, Human Computer Interaction, and eHealth. He produced more than 40 academic papers, including book chapters, articles and communications in conference proceedings and participated in the organization of scientific meetings of various international and national nature, whith emphasizes on the organization of the EUNIS Congress in 2012 (www.eunis.pt) at UTAD.

Interest
Topics
Details

Details

006
Publications

2020

A Head Mouse Alternative Solution Proposal for People with Motor Impairments: Design and Usability Assessment Study

Authors
Zengin, HA; Reis, A; Barroso, J; Rocha, T;

Publication
HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design - Lecture Notes in Computer Science

Abstract

2020

Using Artificial Intelligence to Predict Academic Performance

Authors
Reis, A; Rocha, T; Martins, P; Barroso, J;

Publication
Lecture Notes in Computer Science - HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence

Abstract

2019

Submitted to the WorldCIST'17: The AppVox mobile application, a tool for speech and language training sessions

Authors
Rocha, T; Goncalves, C; Fernandes, H; Reis, A; Barroso, J;

Publication
Expert Systems

Abstract
AppVox is a mobile application that provides support for children with speech and language impairments in their speech therapy sessions, while also allowing autonomous training at home. The application simulates a vocalizer with an audio stimulus feature, which can be used to train and amend the pronunciation of specific words through repetition. In this paper, we aim to present the development of the application as an assistive technology option, by adding new features to the vocalizer as well as assessing it as a usable option for daily training interaction for children with speech and language impairments. In this regard, we invited 15 children with speech and language impairments and 20 with no impairments to perform training activities with the application. Likewise, we asked three speech therapists and three usability experts to interact, assess, and give their feedback. In this assessment, we include the following parameters: successful conclusion of the training tasks (effectiveness); number of errors made, as well as number and type of difficulties found (efficiency); and the acceptance and level of comfort in completing the requested tasks (satisfaction). Overall, the results showed that children conclude the training tasks successfully and helped to improve their language and speech capabilities. Therapists and children gave positive feedback to the AppVox interface. © 2019 John Wiley & Sons, Ltd

2019

Creating Weather Narratives

Authors
Reis, A; Liberato, M; Paredes, H; Martins, P; Barroso, J;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Information can be conveyed to the user by means of a narrative, modeled according to the user’s context. A case in point is the weather, which can be perceived differently and with distinct levels of importance according to the user’s context. For example, for a blind person, the weather is an important element to plan and move between locations. In fact, weather can make it very difficult or even impossible for a blind person to successfully negotiate a path and navigate from one place to another. To provide proper information, narrated and delivered according to the person’s context, this paper proposes a project for the creation of weather narratives, targeted at specific types of users and contexts. The proposal’s main objective is to add value to the data, acquired through the observation of weather systems, by interpreting that data, in order to identify relevant information and automatically create narratives, in a conversational way or with machine metadata language. These narratives should communicate specific aspects of the evolution of the weather systems in an efficient way, providing knowledge and insight in specific contexts and for specific purposes. Currently, there are several language generator’ systems, which automatically create weather forecast reports, based on previously processed and synthesized information. This paper, proposes a wider and more comprehensive approach to the weather systems phenomena, proposing a full process, from the raw data to a contextualized narration, thus providing a methodology and a tool that might be used for various contexts and weather systems. © 2019, Springer Nature Switzerland AG.

2019

Usage of artificial vision cloud services as building blocks for blind people assistive systems

Authors
Paulino, D; Reis, A; Paredes, H; Fernandes, H; Barroso, J;

Publication
International Journal of Recent Technology and Engineering

Abstract
This study has the objective of select the best service at image processing and recognition, running in the cloud, and best suited for usage in systems to aid and improve the daily lives of blind people. To accomplish this purpose, a set of candidate services was built, including Microsoft Cognitive Services and Google Cloud Vision. A test mobile app was developed to automatically take pictures, which are sent to the online cloud services for processing. The results and the functionalities were evaluated with the aim to measure their accuracy and relevance. The following variables were registered: relative accuracy, represented by the ratio of the number of accurate results vs. the number of results shown; confidence degree, representing the service accuracy (when provided by the service); and relevance, identifying situations that can be useful in the daily lives of the blind people. The results have shown that these two services, Microsoft Cognitive Services and Google Cloud Vision, provided good accuracy and significance, in supporting systems to help blind people in their daily tasks. It was chosen some functionalities in two APIs of services running in the cloud like face identification, image description, objects, and text recognition. © BEIESP.

Supervised
thesis

2019

Plataforma de monitorização de pacientes de doença crónica

Author
André Filipe Moreira Silva

Institution
UTAD

2019

Serviço de Apoio a Idosos Recorrendo a Veículos não Tripulados

Author
DAVID FERREIRA SAFADINHO

Institution
UTAD

2019

HI-Drones! - Human Interaction for Drones

Author
ROBERTO AGUIAR RIBEIRO

Institution
UTAD