Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Théophile Demazure"'
Autor:
Alexander John Karran, Théophile Demazure, Antoine Hudon, Sylvain Senecal, Pierre-Majorique Léger
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
Explainable artificial intelligence aims to bring transparency to artificial intelligence (AI) systems by translating, simplifying, and visualizing its decisions. While society remains skeptical about AI systems, studies show that transparent and exp
Externí odkaz:
https://doaj.org/article/cb0ea74c6e634f2aa7e811f5e81e325f
Autor:
Alexander J. Karran, Théophile Demazure, Pierre-Majorique Leger, Elise Labonte-LeMoyne, Sylvain Senecal, Marc Fredette, Gilbert Babin
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
We report results of a study that utilizes a BCI to drive an interactive interface countermeasure that allows users to self-regulate sustained attention while performing an ecologically valid, long-duration business logistics task. An engagement inde
Externí odkaz:
https://doaj.org/article/bd53270ed4ac4838988ec62de86751dc
Autor:
Alexander J. Karran, Théophile Demazure, Élise Labonté-LeMoyne, Sylvain Sénécal, Marc Fredette, Gilbert Babin, Pierre-Majorique Léger
Publikováno v:
Business & Information Systems Engineering. 63:653-668
Arguably, automation is fast transforming many enterprise business processes, transforming operational jobs into monitoring tasks. Consequently, the ability to sustain attention during extended periods of monitoring is becoming a critical skill. This
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::086c95f599aa192bc59760fe06b84c8e
https://doi.org/10.1007/s12599-021-00701-3
https://doi.org/10.1007/s12599-021-00701-3
Autor:
Alexander J. Karran, Sylvain Sénécal, Antoine Hudon, Pierre-Majorique Léger, Théophile Demazure
Publikováno v:
Information Systems and Neuroscience ISBN: 9783030888992
Explainable Artificial Intelligence (XAI) aims to bring transparency to AI systems by translating, simplifying, and visualizing its decisions. While society remains skeptical about AI systems, studies show that transparent and explainable AI systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f59c387032c7669c60240371a1bd8f6
https://doi.org/10.1007/978-3-030-88900-5_27
https://doi.org/10.1007/978-3-030-88900-5_27
Autor:
Théophile Demazure, Alexander J. Karran, Jared Boasen, Sylvain Sénécal, Pierre-Majorique Léger
Publikováno v:
Augmented Cognition ISBN: 9783030781132
HCI (15)
HCI (15)
Remote electroencephalography (EEG) studies offers the exciting opportunity to gather data within a participants’ home environment. However, remote EEG data collection trades some internal validity for ecological validity. When interacting with int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::677b88f6d0699d8dd9c6684e954146ce
https://doi.org/10.1007/978-3-030-78114-9_1
https://doi.org/10.1007/978-3-030-78114-9_1
Publikováno v:
Information Systems and Neuroscience ISBN: 9783030888992
There is a need to train newcomers to NeuroIS on neuroscientific tools and methodologies. Due to the pandemic, existing syllabi required adaptation to enable remote training. In this paper, we present a syllabus aimed at providing hands-on distance l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8404a5ce431b2c96b548516d88003a61
https://doi.org/10.1007/978-3-030-88900-5_21
https://doi.org/10.1007/978-3-030-88900-5_21
Autor:
Alexander J. Karran, Marc Fredette, Élise Labonté-LeMoyne, Sylvain Sénécal, Gilbert Babin, Théophile Demazure, Pierre-Majorique Léger
Publikováno v:
Information Systems and Neuroscience ISBN: 9783030010867
In today’s data-driven information technology environment, the ability of humans to sustain attention over long periods of time has become an increasingly important skill. We report work in progress to create a novel passive brain computer interfac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407e8ddee0849e1bac4dad2e9503609c
https://doi.org/10.1007/978-3-030-01087-4_15
https://doi.org/10.1007/978-3-030-01087-4_15