Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Eydís Huld Magnúsdóttir"'
Autor:
Christian Bean, Brynjar Olafsson, Eydís Huld Magnúsdóttir, Jon Gudnason, Kamilla Run Johannsdottir
Publikováno v:
2017 8th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Monitoring cognitive workload has the potential to improve performance and fidelity in human decision making through a real-time monitoring model. Multiple studies have shown a successful binary classification of high and low workload using various m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f4518ef0b4e8e5c176469127b7a0edf
https://doi.org/10.1109/coginfocom.2017.8268269
https://doi.org/10.1109/coginfocom.2017.8268269
Publikováno v:
Biological psychology. 132
Cardiovascular measures have been found to be sensitive to task onset and offset, but are less sensitive to adjacent levels of increasing cognitive workload. A potential confound in the literature is the disregard of individual differences in cardiov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4c05ce2298487f23183793e3ec0d0ca
https://pubmed.ncbi.nlm.nih.gov/29269026
https://pubmed.ncbi.nlm.nih.gov/29269026
Autor:
Eydís Huld Magnúsdóttir, Jon Gudnason, Michal Borsky, Kamilla Run Johannsdottir, Manuela Meier
Publikováno v:
2016 7th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Monitoring cognitive workload from speech signals has received a lot of attention from researchers in the past few years as it has the potential to improve performance and fidelity in human decision making. The bulk of the research has focused on cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46b89b1c3d6cf9f6302a727d9f6accb6
https://doi.org/10.1109/coginfocom.2016.7804532
https://doi.org/10.1109/coginfocom.2016.7804532
Autor:
Eydís Huld Magnúsdóttir, Michal Borsky, Jon Gudnason, Kamilla Run Johannsdottir, Manuela Meier
Publikováno v:
Periodica Polytechnica Electrical Engineering and Computer Science. 61:297
Monitoring cognitive workload from speech signals has received much attention from researchers in the past few years as it has the potential to improve performance and fidelity in human decision making. The bulk of the research has focused on classif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb077d422077f89eeeb6667672cbdfd9
https://doi.org/10.3311/ppee.10414
https://doi.org/10.3311/ppee.10414