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pro vyhledávání: '"Manuel Landsmann"'
Autor:
Atsuyuki Morishima, Manuel Landsmann, Takanori Maruichi, Masaki Matsubara, Shigeaki Yuasa, Koichi Kise, Takumi Nakai
Publikováno v:
IEEE BigData
In this paper, we show preliminary results on the quality assessment of crowdworker output based on the movements of the mouse and the eyes while the task is performed. We assume that the mouse and the eyes stop longer if the quality is lower due to
Publikováno v:
UbiComp/ISWC Adjunct
Because of the diversity of document layouts and reading styles, detecting reading activities in real life is a challenging task compared to the detection in the laboratory setting. For contributing to the implementation of robust reading detection a
Publikováno v:
UbiComp/ISWC Adjunct
Nowadays, many researchers analyze reading behavior with eye trackers. Various traits of reading like engagement, or text difficulty have been observed in laboratory settings. But, their automatic application for daily life is usually prevented by on