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 …

Detecting task demand via an eye tracking machine learning system

M Shojaeizadeh, S Djamasbi, RC Paffenroth… - Decision Support …, 2019 - Elsevier
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 …

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 …

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 …

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 …

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 …

Relevance prediction from eye-movements using semi-interpretable convolutional neural networks

N Bhattacharya, S Rakshit, J Gwizdka… - Proceedings of the 2020 …, 2020 - dl.acm.org
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 …

Detecting relevance during decision-making from eye movements for UI adaptation

AM Feit, L Vordemann, S Park, C Berube… - ACM symposium on eye …, 2020 - dl.acm.org
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 …

GaZIR: Gaze-based zooming interface for image retrieval

L Kozma, A Klami, S Kaski - … of the 2009 international conference on …, 2009 - dl.acm.org
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 …

Gaze-based relevance feedback for realizing region-based image retrieval

GT Papadopoulos, KC Apostolakis… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
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 …