helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
Can eye position be accurately estimated from static images with eyes closed?UbiComp '24EyeWithShut: Exploring Closed Eye Features to Estimate Eye Position
Visualization, Data Sensemaking, and Reading Analysis / Reading Behavior, Attention, and Eye-Tracking Analysis
Can eye position be accurately estimated from static images with eyes closed?
Similar questions
helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
How can LLMs simulate non-expert learners to improve learning-by-teaching (LBT) applications?helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
What innovative methods for designing LLM-based teachable agents can enhance students' teaching experience?helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
What impact will introducing LLM-based LBT tools in actual programming courses have on student learning behavior and long-term outcomes?helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
How do distance, width, and direction affect eye position estimation accuracy with eyes closed?UbiComp '24EyeWithShut: Exploring Closed Eye Features to Estimate Eye Position
helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
What advantages does static closed-eye image estimation offer over traditional open-close trajectory methods?UbiComp '24EyeWithShut: Exploring Closed Eye Features to Estimate Eye Position
helpResearch questionReading Behavior, Attention, and Eye-Tracking Analysis
Can eye-tracking features from natural reading behavior be used for implicit calibration?UbiComp '24CalibRead: Unobtrusive Eye Tracking Calibration from Natural Reading Behavior
Related papers
CHI 2025
Perceived Asynchrony of Rhythmic Stimuli Affects Pupil Diameter and Smooth Pursuit Eye Movements
Lina Klass, Anton Benjamin Lammert, Laura Simon
CHI 2024
Know Your Audience: The benefits and pitfalls of generating plain language summaries beyond the "general" audience
Tal August, Kyle Lo, Noah A. Smith
CHI 2024
Understanding Reader Takeaways in Thematic Maps Under Varying Text, Detail, and Spatial Autocorrelation
Arlen Fan, Fan Lei, Michelle Mancenido
CHI 2024
Digital Comprehensibility Assessment of Simplified Texts among Persons with Intellectual Disabilities
Andreas Säuberli, Franz Holzknecht, Patrick Haller
UbiComp 2023
Unveiling Causal Attention in Dogs’ Eyes with Smart Eyewear
Yingying Zhao, Ning Li, Wentao Pan
CHI 2023
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
Xiaoyu Zhang, Jianping Li, Po-Wei Chi
CHI 2023
Characteristics of Deep and Skim Reading on Smartphones vs. Desktop: A Comparative Study
Xiuge Chen, Namrata Srivastava, Rajiv Jain
CHI 2023
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka
CHI 2023
How Bold can we be? The impact of adjusting Font Grade on Readability in light and dark Polarities
Hilary Palmén, Michael Dean Gilbert, Dave Crossland
CHI 2022
FitVid: Responsive and Flexible Video Content Adaptation
Jeongyeon Kim, Yubin Choi, Minsuk Kahng
CHI 2022
Supporting Serendipitous Discovery and Balanced Analysis of Online Product Reviews with Interaction-Driven Metrics and Bias-Mitigating Suggestions
Mahmood Jasim, Christopher Collins, Ali Sarvghad
UIST 2021
Evaluating the Effects of Saccade Types and Directions on Eye Pointing Tasks
Xinyong Zhang