Screen content quality assessment: Overview, benchmark, and beyond

X Min, K Gu, G Zhai, X Yang, W Zhang… - ACM Computing …, 2021 - dl.acm.org
Screen content, which is often computer-generated, has many characteristics distinctly
different from conventional camera-captured natural scene content. Such characteristic …

[HTML][HTML] Exploring differences in self-regulated learning strategy use between high-and low-performing students in introductory programming: An analysis of eye …

G Cheng, D Zou, H Xie, FL Wang - Computers & Education, 2024 - Elsevier
Previous studies have reported mixed results regarding the relationship between students'
use of self-regulated learning (SRL) strategies and their performance in introductory …

Web users with autism: eye tracking evidence for differences

S Eraslan, V Yaneva, Y Yesilada… - Behaviour & Information …, 2019 - Taylor & Francis
Anecdotal evidence suggests that people with autism may have different processing
strategies when accessing the web. However, limited empirical evidence is available to …

Automated prediction of visual complexity of web pages: Tools and evaluations

E Michailidou, S Eraslan, Y Yesilada… - International Journal of …, 2021 - Elsevier
Understanding visual complexity as it relates to websites has been an emergent area for
many years. However, predicting the visual complexity of a website as perceived by users …

{Kalεido}:{Real-Time} privacy control for {Eye-Tracking} systems

J Li, AR Chowdhury, K Fawaz, Y Kim - 30th USENIX security symposium …, 2021 - usenix.org
Recent advances in sensing and computing technologies have led to the rise of eye-tracking
platforms. Ranging from mobiles to high-end mixed reality headsets, a wide spectrum of …

GazeGraph: Graph-based few-shot cognitive context sensing from human visual behavior

G Lan, B Heit, T Scargill, M Gorlatova - Proceedings of the 18th …, 2020 - dl.acm.org
In this work, we present GazeGraph, a system that leverages human gazes as the sensing
modality for cognitive context sensing. GazeGraph is a generalized framework that is …

A cognition-centered personalization framework for cultural-heritage content

GE Raptis, C Fidas, C Katsini, N Avouris - User Modeling and User …, 2019 - Springer
The heterogeneity of the audience of cultural heritage institutions introduces numerous
challenges to the delivery of the content. Considering that people differ in the way they …

Eye tracking scanpath analysis on web pages: how many users?

S Eraslan, Y Yesilada, S Harper - Proceedings of the ninth biennial ACM …, 2016 - dl.acm.org
The number of users required for usability studies has been a controversial issue over 30
years. Some researchers suggest a certain number of users to be included in these studies …

Confusion prediction from eye-tracking data: experiments with machine learning

J Salminen, M Nagpal, H Kwak, J An, S Jung… - Proceedings of the 9th …, 2019 - dl.acm.org
Predicting user confusion can help improve information presentation on websites, mobile
apps, and virtual reality interfaces. One promising information source for such prediction is …

An interactive web-based visual analytics tool for detecting strategic eye movement patterns

M Burch, A Kumar, N Timmermans - … of the 11th ACM Symposium on …, 2019 - dl.acm.org
In this paper we describe an interactive and web-based visual analytics tool combining
linked visualization techniques and algorithmic approaches for exploring the hierarchical …