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Cybersecurity Training for Users of Remote Computing

The Journal of Computational Science Education, 2023
End users of remote computing systems are frequently not aware of basic ways in which they could enhance protection against cyber-threats and attacks. In this paper, we discuss specific techniques to help and train users to improve cybersecurity when using such systems.
Ponce, Marcelo, van Zon, Ramses
openaire   +2 more sources

Towards Explanatory Feedback for User Training in Brain-Computer Interfaces [PDF]

2015 IEEE International Conference on Systems, Man, and Cybernetics, 2015
Despite their potential for many applications, Brain-Computer Interfaces (BCI) are still rarely used due to their low reliability and long training. These limitations are partly due to inappropriate training protocols, which includes the feedback provided to the user.
Schumacher, Julia, Jeunet, Camille, Lotte, Fabien   +2 more
openaire   +6 more sources

A review of user training methods in brain computer interfaces based on mental tasks [PDF]

Journal of Neural Engineering, 2021
Abstract Mental-tasks based brain–computer interfaces (MT-BCIs) allow their users to interact with an external device solely by using brain signals produced through mental tasks. While MT-BCIs are promising for many applications, they are still barely used outside laboratories due to their lack of reliability. MT-BCIs require their users
Aline Roc, Lea Pillette, Jelena Mladenovic, Camille Benaroch, Bernard N’Kaoua, Camille Jeunet, Fabien Lotte   +6 more
openaire   +7 more sources

Implementation of Internet Training on Posture Reform of Computer Users in Iran [PDF]

Acta Informatica Medica, 2014
Musculoskeletal disorders are of common problems among computer (PC) users. Training of posture reform plays a significant role in the prevention of the emergence, progression and complications of these diseases. The present research was performed to study the effect of the Internet training on the posture reform of the Internet users working in two ...
Gholamreza Masoudi, Maryam Hormozi, Iraj Zareban, Mahnaz Shahrakipoor, Javad Sharifi-Rad, Fatemeh Rahimi, Zohreh Keykhaie   +6 more
openaire   +2 more sources

Experimenters' Influence on Mental-Imagery based Brain-Computer Interface User Training [PDF]

International Journal of Human-Computer Studies, 2021
Abstract Context: Motor Imagery based Brain-Computer Interfaces (MI-BCIs) enable their users to interact with digital technologies, e.g., neuroprosthesis, by performing motor imagery tasks only, e.g., imagining hand movements, while their brain activity is recorded. To control MI-BCIs, users must train to control their brain activity.
Léa Pillette, Aline Roc, Bernard N’Kaoua, Fabien Lotte   +3 more
openaire   +4 more sources

Improving User Experience and Performance through Gamification of MI-BCI Training [PDF]

, 2023
Motor Imagery Brain-Computer Interfaces (MI-BCI) decode brain patterns associated with motor intentions into control commands for a variety of applications, bypassing traditional motor inputs.
Alimardani, Maryam, Atilla, Fred, Postma, Marie   +2 more
core   +1 more source

Exploiting the user interaction context for automatic task detection [PDF]

, 2012
Detecting the task a user is performing on her computer desktop is important for providing her with contextualized and personalized support. Some recent approaches propose to perform automatic user task detection by means of classifiers using captured ...
Andreas S. Rath, Didier Devaurs, Stefanie N. Lindstaedt, Wolpers M.   +3 more
core   +3 more sources

Structured computer-based training in the interpretation of neuroradiological images [PDF]

, 2000
Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to
Azevedo, B du Boulay, B.A Teather, Boshuizen, Brown, Collins, D Teather, du Boulay, Fink, Fishman, G.H du Boulay, Garlatti, Getty, Greenacre, Hayt, Jeffery, Krumhansl, Kushniruk, Lesgold, Lesgold, M Sharples, Macura, Myles-Worsley, N.P Jeffery, Nielsen, Nosofsky, Teather   +26 more
core   +2 more sources

The challenges of mobile devices for human computer interaction [PDF]

, 2002
Current mobile computing devices such as palmtop computers, personal digital assistants (PDAs) and mobile phones, and future devices such as Bluetooth and GSM enabled cameras, and music players have many implications for the design of the user interface.
Brewster, Stephen, Dunlop, Mark
core   +1 more source

Predicting mental imagery based BCI performance from personality, cognitive profile and neurophysiological patterns [PDF]

, 2015
Mental-Imagery based Brain-Computer Interfaces (MI-BCIs) allow their users to send commands to a computer using their brain-activity alone (typically measured by ElectroEncephaloGraphy— EEG), which is processed while they perform specific mental tasks.
A Bamdadian, A Harris, A Lécuyer, A Ramos-Murguialday, A Vromen, AL Benton, B Allison, B Blankertz, B Graimann, Bernard N’Kaoua, BP Rourke, C Guger, C Neuper, C Neuper, Camille Jeunet, CD Spielberger, D Coyle, D Wechsler, DA Kolb, DB Berch, Doron Friedman, E Combrisson, EM Hammer, EM Hammer, EV Friedrich, F Lotte, F Nijboer, F Nijboer, Fabien Lotte, G Pfurtscheller, GR Müller-Putz, H Levenson, H Ramoser, I Daum, JB Van Erp, JdR Millán, JHK Friedman, JR Wolpaw, KK Ang, L Aftanas, LF Nicolas-Alonso, M Ahn, M Ahn, M Grosse-Wentrup, M Grosse-Wentrup, M Witte, Martin Hachet, MG Moore, MJ Whittingham, MM Bradley, N Hara, N LeBoutillier, N Neumann, R N’Kambou, RB Cattell, RH Bruininks, RM Felder, S Derksen, SE Poltrock, SG Vandenberg, Sriram Subramanian, W Burde, W Klimesch, WS Noble, Y Renard   +64 more
core   +4 more sources