Using psycho-physiological measures to assess task difficulty in software development

T Fritz, A Begel, SC Müller, S Yigit-Elliott… - Proceedings of the 36th …, 2014 - dl.acm.org
Software developers make programming mistakes that cause serious bugs for their
customers. Existing work to detect problematic software focuses mainly on post hoc …

Individual user characteristics and information visualization: connecting the dots through eye tracking

D Toker, C Conati, B Steichen, G Carenini - proceedings of the SIGCHI …, 2013 - dl.acm.org
There is increasing evidence that users' characteristics such as cognitive abilities and
personality have an impact on the effectiveness of information visualization techniques. This …

User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities

B Steichen, G Carenini, C Conati - Proceedings of the 2013 international …, 2013 - dl.acm.org
Information Visualization systems have traditionally followed a one-size-fits-all model,
typically ignoring an individual user's needs, abilities and preferences. However, recent …

Synchronized eye movements predict test scores in online video education

J Madsen, SU Júlio, PJ Gucik… - Proceedings of the …, 2021 - National Acad Sciences
Experienced teachers pay close attention to their students, adjusting their teaching when
students seem lost. This dynamic interaction is missing in online education. We …

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 …

What do you want to do next: a novel approach for intent prediction in gaze-based interaction

R Bednarik, H Vrzakova, M Hradis - … of the symposium on eye tracking …, 2012 - dl.acm.org
Interaction intent prediction and the Midas touch have been a longstanding challenge for
eye-tracking researchers and users of gaze-based interaction. Inspired by machine learning …

Exploring gender differences in computational thinking learning in a vr classroom: Developing machine learning models using eye-tracking data and explaining the …

H Gao, L Hasenbein, E Bozkir, R Göllner… - International Journal of …, 2023 - Springer
Understanding existing gender differences in the development of computational thinking
skills is increasingly important for gaining valuable insights into bridging the gender gap …

Inferring visualization task properties, user performance, and user cognitive abilities from eye gaze data

B Steichen, C Conati, G Carenini - ACM Transactions on Interactive …, 2014 - dl.acm.org
Information visualization systems have traditionally followed a one-size-fits-all model,
typically ignoring an individual user's needs, abilities, and preferences. However, recent …

Soccer goalkeeper expertise identification based on eye movements

BW Hosp, F Schultz, O Höner, E Kasneci - PloS one, 2021 - journals.plos.org
By focusing on high experimental control and realistic presentation, the latest research in
expertise assessment of soccer players demonstrates the importance of perceptual skills …

Optimal eye movement strategies: a comparison of neurosurgeons gaze patterns when using a surgical microscope

S Eivazi, A Hafez, W Fuhl, H Afkari, E Kasneci… - Acta …, 2017 - Springer
Background Previous studies have consistently demonstrated gaze behaviour differences
related to expertise during various surgical procedures. In micro-neurosurgery, however …