Eye tracking for spatial research: Cognition, computation, challenges

P Kiefer, I Giannopoulos, M Raubal… - Spatial Cognition & …, 2017 - Taylor & Francis
Spatial information acquisition happens in large part through the visual sense. Studying
visual attention and its connection to cognitive processes has been the interest of many …

User performance and reading strategies for metro maps: An eye tracking study

R Netzel, B Ohlhausen, K Kurzhals… - Spatial Cognition & …, 2017 - Taylor & Francis
We conducted a controlled empirical eye tracking study with 40 participants using schematic
metro maps. The study focused on two aspects: determining different reading strategies and …

[HTML][HTML] Gaze-enabled activity recognition for augmented reality feedback

K Bektaş, J Strecker, S Mayer, K Garcia - Computers & Graphics, 2024 - Elsevier
Abstract Head-mounted Augmented Reality (AR) displays overlay digital information on
physical objects. Through eye tracking, they provide insights into user attention, intentions …

VA2: A Visual Analytics Approach for Evaluating Visual Analytics Applications

T Blascheck, M John, K Kurzhals… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Evaluation has become a fundamental part of visualization research and researchers have
employed many approaches from the field of human-computer interaction like measures of …

Inferring user tasks in pedestrian navigation from eye movement data in real-world environments

H Liao, W Dong, H Huang, G Gartner… - International Journal of …, 2019 - Taylor & Francis
Eye movement data convey a wealth of information that can be used to probe human
behaviour and cognitive processes. To date, eye tracking studies have mainly focused on …

Classifying head movements to separate head-gaze and head gestures as distinct modes of input

BJ Hou, J Newn, L Sidenmark, A Ahmad Khan… - Proceedings of the …, 2023 - dl.acm.org
Head movement is widely used as a uniform type of input for human-computer interaction.
However, there are fundamental differences between head movements coupled with gaze in …

Measuring cognitive load for map tasks through pupil diameter

P Kiefer, I Giannopoulos, A Duchowski… - … Information Science: 9th …, 2016 - Springer
In this paper we use pupil diameter as an indicator for measuring cognitive load for six
different tasks on common web maps. Two eye tracking data sets were collected for different …

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 …

Tasks Reflected in the Eyes: Egocentric Gaze-Aware Visual Task Type Recognition in Virtual Reality

Z Wang, F Lu - IEEE Transactions on Visualization and …, 2024 - ieeexplore.ieee.org
With eye tracking finding widespread utility in augmented reality and virtual reality headsets,
eye gaze has the potential to recognize users' visual tasks and adaptively adjust virtual …

Evaluating real-time gaze representations to infer intentions in competitive turn-based strategy games

J Newn, E Velloso, F Allison, Y Abdelrahman… - Proceedings of the …, 2017 - dl.acm.org
In this paper, we investigate nine different visual representations of gaze in a competitive
digital game setting. We evaluate the ability of spectators to infer a player's intentions in the …