2020
Authors
Almeida, R; Jácome, C; Martinho, D; Vieira Marques, P; Jacinto, T; Ferreira, A; Almeida, A; Martins, C; Pereira, M; Pereira, A; Valente, J; Almeida, R; Vieira, A; Amaral, R; Sá Sousa, A; Gonçalves, I; Rodrigues, P; Alves Correia, M; Freitas, A; Marreiros, G; Fonseca, SC; Pereira, AC; Fonseca, JA;
Publication
Proceedings of the 12th IADIS International Conference e-Health 2020, EH 2020 - Part of the 14th Multi Conference on Computer Science and Information Systems, MCCSIS 2020
Abstract
Current tools for self-management of chronic obstructive respiratory diseases (CORD) are difficult to use, not individualized and requiring laborious analysis by health professionals, discouraging their use in healthcare. There is an opportunity for cost-effective and easy-to-disseminate advanced technological solutions directed to patients and attractive to different stakeholders. The strategy of AIRDOC is to develop and integrate self-monitoring and self-managing tools, making use of the smartphone's presence in everyday life. AIRDOC intends to innovate on: i) technologies for remote monitoring of respiratory function and computerized lung auscultation; ii) coaching solutions, integrating psychoeducation, gamification and disease management support systems; and iii) management of personal health data, focusing on security, privacy and interoperability. It is expected that AIRDOC results will contribute for the innovation in CORD healthcare, with increased patient involvement and empowerment while providing quality prospective information for better clinical decisions, allowing more efficient and sustainable healthcare delivery.
2020
Authors
Costa-Santos, C; Luísa Neves, A; Correia, R; Santos, P; Monteiro-Soares, M; Freitas, A; Ribeiro-Vaz, I; Henriques, T; Rodrigues, PP; Costa-Pereira, A; Pereira, AM; Fonseca, J;
Publication
Abstract
2020
Authors
Felix-Cardoso, J; Vasconcelos, H; Rodrigues, P; Cruz-Correia, R;
Publication
Abstract
2020
Authors
Arteiro, L; Lourenço, F; Escudeiro, P; Ferreira, C;
Publication
Communications in Computer and Information Science
Abstract
Peer-to-peer communication has increasingly gained prevalence in people’s daily lives, with its widespread adoption being catalysed by technological advances. Although there have been strides for the inclusion of disabled individuals to ease communication between peers, people who suffer hand/arm impairments have scarce support in regular mainstream applications to efficiently communicate privately with other individuals. Additionally, as centralized systems have come into scrutiny regarding privacy and security, development of alternative, decentralized solutions has increased, a movement pioneered by Bitcoin that culminated on the blockchain technology and its variants. Within the inclusivity paradigm, this paper aims to showcase an alternative on human-computer interaction with support for the aforementioned individuals, through the use of an electroencephalography headset and electromyography surface electrodes, for application navigation and text input purposes respectively. Users of the application are inserted in a decentralized system that is designed for secure communication and exchange of data between peers that are both resilient to tampering attacks and central points of failure, with no long-term restrictions regarding scalability prospects. Therefore, being composed of a silent speech and brain-computer interface, users can communicate with other peers, regardless of disability status, with no physical contact with the device. Users utilize a specific user interface design that supports such interaction, doing so securely on a decentralized network that is based on a distributed hash table for better lookup, insert and deletion of data performance. This project is still in early stages of development, having successfully been developed a functional prototype on a closed, testing environment. © 2020, Springer Nature Switzerland AG.
2020
Authors
Raut, UR; Brito, PQ; Pawar, PA;
Publication
GLOBAL BUSINESS REVIEW
Abstract
The aim of the present study is to analyze brand resonance measures to assess reliability, dimensionality and validity using existing models of brand resonance. This study is based on a mixed approach of research methodology, using qualitative and quantitative methods. In the qualitative approach, we use expert interview and focus group discussion tools. In the quantitative approach, a corporate survey was conducted and 560 responses were collected through a structured questionnaire. The analysis is performed using statistical scaling tools such as Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). This study initiated scale extraction and operationalization processes for 72 observed variables to measure nine latent variables and obtained 34 statistically extracted observed variables. The study provides a reliable and validated means to measure brand resonance constructs. The study develops a brand resonance scale, which can help brand managers to measure consumers' levels of brand resonance, in order to describe the strength of the bond of their consumer with their brand(s). This study develops empirically extracted measures of brand resonance, making it distinctive in the branding literature. The study also ensures all important aspects of measurement scale, such as validity and reliability.
2020
Authors
Teles Roxo, M; Quelhas Brito, P;
Publication
Augmented Reality and Virtual Reality - Progress in IS
Abstract
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