What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer vision
His main research concerns Eye tracking, Computer vision, Artificial intelligence, Gaze and Eye movement.
The Eye tracking study combines topics in areas such as Cognition, Visual attention, Speech recognition and Virtual reality, Human–computer interaction.
His work on Eye tracking on the ISS and Pixel as part of his general Computer vision study is frequently connected to Ellipse, thereby bridging the divide between different branches of science.
The study incorporates disciplines such as String and Computer graphics in addition to Artificial intelligence.
His research in Gaze focuses on subjects like Orientation, which are connected to Texture mapping.
His Eye movement research focuses on Visual search and how it relates to Interaction Styles.
His most cited work include:
- Eye Tracking Methodology: Theory and Practice (1870 citations)
- A breadth-first survey of eye-tracking applications (738 citations)
- Eye Tracking Methodology (265 citations)
What are the main themes of his work throughout his whole career to date?
Andrew T. Duchowski mainly investigates Eye tracking, Artificial intelligence, Computer vision, Gaze and Eye movement.
Andrew T. Duchowski focuses mostly in the field of Eye tracking, narrowing it down to topics relating to Task and, in certain cases, Simulation.
His work on Visual search and Virtual reality as part of general Artificial intelligence research is frequently linked to Human visual system model, thereby connecting diverse disciplines of science.
In general Computer vision, his work in Eye tracking on the ISS, Stereoscopy and Pixel is often linked to Foveal linking many areas of study.
His Gaze study combines topics in areas such as Visual perception, Multimedia, Analytics and Rendering.
His studies in Eye movement integrate themes in fields like Gaze-contingency paradigm, Cognitive psychology, Cognition and Usability.
He most often published in these fields:
- Eye tracking (55.83%)
- Artificial intelligence (50.00%)
- Computer vision (46.12%)
What were the highlights of his more recent work (between 2018-2021)?
- Eye tracking (55.83%)
- Gaze (32.04%)
- Eye movement (30.10%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Eye tracking, Gaze, Eye movement, Artificial intelligence and Computer vision.
The Eye tracking study combines topics in areas such as Vision science, Information privacy, Privacy policy, Internet privacy and Eye contact.
His studies deal with areas such as Augmented reality, Cognitive psychology, Analytics and Visual attention as well as Gaze.
His Eye movement study integrates concerns from other disciplines, such as Pupillary response, Motion, Cognition and Human–computer interaction.
His Artificial intelligence study combines topics in areas such as Neuroergonomics and Pupil diameter.
Andrew T. Duchowski combines subjects such as Visualization, Perception, Haptic technology and Deep neural networks with his study of Computer vision.
Between 2018 and 2021, his most popular works were:
- Differential privacy for eye-tracking data (18 citations)
- Using Microsaccades to Estimate Task Difficulty During Visual Search of Layered Surfaces (7 citations)
- Pupillary and Microsaccadic Responses to Cognitive Effort and Emotional Arousal During Complex Decision Making. (2 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Statistics
The scientist’s investigation covers issues in Eye tracking, Cognitive load, Gaze, Visual search and Artificial intelligence.
The concepts of his Eye tracking study are interwoven with issues in Differential privacy, Data mining, Information privacy and Gaussian noise.
His study in Cognitive load is interdisciplinary in nature, drawing from both Pupillometry, Pupil, Pupillary response, Task and Microsaccade.
While the research belongs to areas of Gaze, Andrew T. Duchowski spends his time largely on the problem of Human–computer interaction, intersecting his research to questions surrounding BitTorrent tracker, Vision science and Wearable computer.
His Visual search research incorporates elements of Cognition and Contrast.
His Artificial intelligence study frequently intersects with other fields, such as Computer vision.
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