Reynold Bailey
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View article: Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality
Using Deep Learning to Increase Eye-Tracking Robustness, Accuracy, and Precision in Virtual Reality Open
Algorithms for the estimation of gaze direction from mobile and video-based eye trackers typically involve tracking a feature of the eye that moves through the eye camera image in a way that covaries with the shifting gaze direction, such …
View article: Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems Open
Eye image segmentation is a critical step in eye tracking that has great influence over the final gaze estimate. Segmentation models trained using supervised machine learning can excel at this task, their effectiveness is determined by the…
View article: Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems Open
Eye image segmentation is a critical step in eye tracking that has great influence over the final gaze estimate. Segmentation models trained using supervised machine learning can excel at this task, their effectiveness is determined by the…
View article: Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems
Deep Domain Adaptation: A Sim2Real Neural Approach for Improving Eye-Tracking Systems Open
Eye image segmentation is a critical step in eye tracking that has great influence over the final gaze estimate. Segmentation models trained using supervised machine learning can excel at this task, their effectiveness is determined by the…
News Consumption Helps Readers Identify Model-Generated News Open
Text-generation to produce journalistic content is increasing. In parallel, there is public concern about the misuse of language generation to disseminate disinformation. In this focused evaluation study, we report on an IRB-Approved exper…
View article: A neural active inference model of perceptual-motor learning
A neural active inference model of perceptual-motor learning Open
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based learning. In this study, we test the ability for the AIF to cap…
View article: An active inference model of anticipation in locomotor interception
An active inference model of anticipation in locomotor interception Open
When attempting to intercept a target moving across the ground plane, success is guaranteed if one can maintain the target’s exocentric direction over time, i.e., the constant bearing angle (CBA) strategy. However, this strategy is not wel…
View article: A Neural Active Inference Model of Perceptual-Motor Learning
A Neural Active Inference Model of Perceptual-Motor Learning Open
The active inference framework (AIF) is a promising new computational framework grounded in contemporary neuroscience that can produce human-like behavior through reward-based learning. In this study, we test the ability for the AIF to cap…
View article: EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking
EllSeg-Gen, towards Domain Generalization for Head-Mounted Eyetracking Open
The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail to identify features such as the iris and pupil centroid in …
Scientific Skills, Identity, and Career Aspiration Development from Early Research Experiences in Computer Science Open
The computer science research workforce is characterized by a lack of demographic diversity.To address this, we designed and evaluated an end-to-end mentored undergraduate research intervention to nurture diverse cohorts' skills for resear…
Pandemic Impacts on Assessment of Undergraduate Research Open
Were assessments of undergraduate researchers in a 10-week summer computing research experience impacted by the pandemic? We compare three cohort years: (1) pre-pandemic (in-person REU; prior to pandemic onset), (2) in-pandemic (remote REU…
Multimodal Modeling of Task-Mediated Confusion Open
Camille Mince, Skye Rhomberg, Cecilia Alm, Reynold Bailey, Alex Ororbia. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Works…
Perceptions of Human and Machine-Generated Articles Open
Automated journalism technology is transforming news production and changing how audiences perceive the news. As automated text-generation models advance, it is important to understand how readers perceive human-written and machine-generat…
View article: EllSeg: An Ellipse Segmentation Framework for Robust Gaze Tracking
EllSeg: An Ellipse Segmentation Framework for Robust Gaze Tracking Open
Ellipse fitting, an essential component in pupil or iris tracking based video oculography, is performed on previously segmented eye parts generated using various computer vision techniques. Several factors, such as occlusions due to eyelid…
HCCS 2020: 2nd Workshop on Human-Centered Computational Sensing - Welcome and Committees Open
The HCCS workshop aims to advance and promote research about how unobtrusive observation of human beings' cognitive, behavioral, physiological, and contextual data is increasingly enabling new computing experiences and effective interventi…
Evaluating Audience Engagement of an Immersive Performance on a Virtual Stage Open
Presenting theatrical performances in virtual reality (VR) has been an active area of research since the early 2000's. VR provides a unique form of storytelling, which is made possible through the use of physically and digitally distribute…
Gaze Guidance for Captioned Videos for DHH Users Open
35th Annual Assistive Technology Conference Scientific/Research Proceedings, San Diego, 2020
Dynamic Visualization System for Gaze and Dialogue Data Open
We report and review a visualization system capable of displaying gaze and speech data elicited from pairs of subjects interacting in a discussion. We elicit such conversation data in our first experiment, where two participants are given …
Fusing Dialogue and Gaze From Discussions of 2D and 3D Scenes Open
Conversation partners rely on inference using each other's gaze and utterances to negotiate shared meaning. In contrast, dialogue systems still operate mostly with unimodal question or command and response interactions. To realize systems …
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking Open
Accurate eye segmentation can improve eye-gaze estimation and support interactive computing based on visual attention; however, existing eye segmentation methods suffer from issues such as person-dependent accuracy, lack of robustness, and…
Towards End to End head-free gaze classification Open
The study of gaze behavior benefits from the classification of the time series into distinct movement types, or events, such as saccade, pursuit, and fixation. Because the manual identification of events is time consuming and subjective, t…
Differential privacy for eye-tracking data Open
As large eye-tracking datasets are created, data privacy is a pressing\nconcern for the eye-tracking community. De-identifying data does not guarantee\nprivacy because multiple datasets can be linked for inferences. A common belief\nis tha…
Considerations for Face-based Data Estimates: Affect Reactions to Videos Open
Video streaming is becoming the new standard for watching videos, providing an opportunity for affective video recommendation that leverages noninvasive sensing data from viewers to suggest content. Face-based data has the distinct advanta…
Classification and Statistics of Gaze In World Events Open
It is known that the head and eyes function synergistically to collect task-relevant visual information needed to guide action. However, investigation of eye/head coordination has been difficult because most gaze event classifiers algorith…
Gaze-in-World movement Classification for Unconstrained Head Motion during Natural Tasks. Open
Accurate classification of eye movements is an integral component of many psychophysical experiments. Most event classifiers are restricted to the analysis of eye-in-head (EIHv) vectors while the head is fixed, and detect two classes of ga…
View article: Sensor-based Methodological Observations for Studying Online Learning
Sensor-based Methodological Observations for Studying Online Learning Open
Online learning has gained increased popularity in recent years. However, with online learning, teacher observation and intervention is lost, creating a need for technologically observable characteristics that can compensate for this limit…
The Influence of Biomechanics on Visual Attention while Walking Open
Humans are incredibly stable and efficient walkers. This is true even when walking is performed in simultaneity with a secondary task, such as social interaction, or use of a cell phone. This is impressive because, while visually guided wa…
Saliency and optical flow for gaze guidance in videos Open
Computer-based gaze guidance techniques have important applications in computer graphics, data visualization, image analysis, and training. Bailey et al. [2009] showed that it is possible to influence exactly where attention is allocated u…
3D gaze point localization and visualization using LiDAR-based 3D reconstructions Open
We present a novel pipeline for localizing a free roaming eye tracker within a LiDAR-based 3D reconstructed scene with high levels of accuracy. By utilizing a combination of reconstruction algorithms that leverage the strengths of global v…