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Anxiety and surgical recovery: Reinterpreting the literature
MR Munafò, J Stevenson - Journal of psychosomatic research, 2001 - Elsevier
Objective: To critically evaluate the interpretation of the findings reported in the peer-
reviewed literature concerning the association of state and trait anxiety with surgical …
reviewed literature concerning the association of state and trait anxiety with surgical …
Detecting task demand via an eye tracking machine learning system
Computerized systems play a significant role in today's fast-paced digital economy. Because
task demand is a major factor that influences how computerized systems are used to make …
task demand is a major factor that influences how computerized systems are used to make …
Behaviour problems in children with dyslexia
E Heiervang, Anders Lund, Jim Stevenson … - Nordic journal of …, 2001 - Taylor & Francis
The association between behaviour problems and dyslexia was assessed in a population
sample of 10-to 12-year-old children. Twenty-five dyslexic children and a matched control …
sample of 10-to 12-year-old children. Twenty-five dyslexic children and a matched control …
Clustering based on eye tracking data for depression recognition
M Yang, C Cai, B Hu - IEEE Transactions on Cognitive and …, 2022 - ieeexplore.ieee.org
The attention-based approach would be a good way of detecting depression, assisting
medical diagnosis, and treating the patients at risk earlier. In this article, a new approach of …
medical diagnosis, and treating the patients at risk earlier. In this article, a new approach of …
Selecting accurate statements from the cognitive interview using confidence ratings.
WT Roberts, PA Higham - Journal of Experimental Psychology …, 2002 - psycnet.apa.org
Participants viewed a videotape of a simulated murder, and their recall (and confidence)
was tested 1 week later with the cognitive interview. Results indicated that (a) the subset of …
was tested 1 week later with the cognitive interview. Results indicated that (a) the subset of …
Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals
JP Kauppi, M Kandemir, VM Saarinen, L Hirvenkari… - NeuroImage, 2015 - Elsevier
We hypothesize that brain activity can be used to control future information retrieval systems.
To this end, we conducted a feasibility study on predicting the relevance of visual objects …
To this end, we conducted a feasibility study on predicting the relevance of visual objects …
Relevance prediction from eye-movements using semi-interpretable convolutional neural networks
We propose an image-classification method to predict the perceived-relevance of text
documents from eye-movements. An eye-tracking study was conducted where participants …
documents from eye-movements. An eye-tracking study was conducted where participants …
Detecting relevance during decision-making from eye movements for UI adaptation
This paper proposes an approach to detect information relevance during decision-making
from eye movements in order to enable user interface adaptation. This is a challenging task …
from eye movements in order to enable user interface adaptation. This is a challenging task …
GaZIR: Gaze-based zooming interface for image retrieval
We introduce GaZIR, a gaze-based interface for browsing and searching for images. The
system computes on-line predictions of relevance of images based on implicit feedback, and …
system computes on-line predictions of relevance of images based on implicit feedback, and …
Gaze-based relevance feedback for realizing region-based image retrieval
In this paper, a gaze-based Relevance Feedback (RF) approach to region-based image
retrieval is presented. Fundamental idea of the proposed method comprises the iterative …
retrieval is presented. Fundamental idea of the proposed method comprises the iterative …