Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Christos A. Fidas"'
Publikováno v:
IEEE Access, Vol 12, Pp 23466-23489 (2024)
Preprocessing electroencephalographic (EEG) signals during computer-mediated Cognitive Load tasks is crucial in Human-Computer Interaction (HCI). This process significantly influences subsequent EEG analysis and the efficacy of Artificial Intelligenc
Externí odkaz:
https://doaj.org/article/0985ce67281347b1aad74c4d523c1719
Autor:
David Portugal, José N. Faria, Marios Belk, Pedro Martins, Argyris Constantinides, Anna Pietron, Andreas Pitsillides, Nikolaos Avouris, Christos A. Fidas
Publikováno v:
Smart Learning Environments, Vol 10, Iss 1, Pp 1-34 (2023)
Abstract The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the COVID-19 global pandemic has raised several concerns about the credibility of online academic activities, especially regarding student identity manag
Externí odkaz:
https://doaj.org/article/cbad07cd749845b696fad9cccf1dc38b
Autor:
Christos A. Fidas, Dimitrios Lyras
Publikováno v:
IEEE Access, Vol 11, Pp 22917-22934 (2023)
Recently, the use of Electroencephalography (EEG) in scientific research on User Authentication (UA) has led to cutting-edge experiments that seek to identify and authenticate individuals based on their brain activity in particular usage scenarios. U
Externí odkaz:
https://doaj.org/article/3c70b0b09be740259d2d133dc50ae8a6
Autor:
Christos A. Fidas, Marios Belk, Argyris Constantinides, David Portugal, Pedro Martins, Anna Maria Pietron, Andreas Pitsillides, Nikolaos Avouris
Publikováno v:
Education Sciences, Vol 13, Iss 6, p 566 (2023)
The credibility of online examinations in Higher Education is hardened by numerous factors and use-case scenarios. This paper reports on a longitudinal study, that spanned over eighteen months, in which various stakeholders from three European Higher
Externí odkaz:
https://doaj.org/article/b83b4cde69e845028ea6cf18e8c478fd