Detalhes
Nome
António Guilherme CorreiaCargo
Investigador Colaborador ExternoDesde
20 abril 2017
Nacionalidade
PortugalCentro
Computação Centrada no Humano e Ciência da InformaçãoContactos
+351222094199
antonio.g.correia@inesctec.pt
2025
Autores
da Silva, EM; Schneider, D; Miceli, C; Correia, A;
Publicação
Informatics
Abstract
2025
Autores
Hesam Mohseni; António Correia; Johanna Silvennoinen; Tuomo Kujala; Tommi Kärkkäinen;
Publicação
Computer-Human Interaction Research and Applications
Abstract
2025
Autores
Marcos Antonio de Almeida; António Correia; Carlos Eduardo Barbosa; Jano Moreira de Souza; Daniel Schneider;
Publicação
Computer-Human Interaction Research and Applications
Abstract
2025
Autores
Ramon Chaves; Carlos Eduardo Barbosa; Gustavo Araujo de Oliveira; Alan Lyra; Matheus Argôlo; Herbert Salazar; Yuri Lima; Daniel Schneider; António Correia; Jano Moreira de Souza;
Publicação
AI & SOCIETY
Abstract
2024
Autores
Paulino, D; Correia, A; Barroso, J; Paredes, H;
Publicação
USER MODELING AND USER-ADAPTED INTERACTION
Abstract
Online microtask labor has increased its role in the last few years and has provided the possibility of people who were usually excluded from the labor market to work anytime and without geographical barriers. While this brings new opportunities for people to work remotely, it can also pose challenges regarding the difficulty of assigning tasks to workers according to their abilities. To this end, cognitive personalization can be used to assess the cognitive profile of each worker and subsequently match those workers to the most appropriate type of work that is available on the digital labor market. In this regard, we believe that the time is ripe for a review of the current state of research on cognitive personalization for digital labor. The present study was conducted by following the recommended guidelines for the software engineering domain through a systematic literature review that led to the analysis of 20 primary studies published from 2010 to 2020. The results report the application of several cognition theories derived from the field of psychology, which in turn revealed an apparent presence of studies indicating accurate levels of cognitive personalization in digital labor in addition to a potential increase in the worker's performance, most frequently investigated in crowdsourcing settings. In view of this, the present essay seeks to contribute to the identification of several gaps and opportunities for future research in order to enhance the personalization of online labor, which has the potential of increasing both worker motivation and the quality of digital work.
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