What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Visual perception
- Perception
Cognitive psychology, Visual perception, Perception, Form perception and Artificial intelligence are his primary areas of study.
His Cognitive psychology research incorporates elements of Proactive Inhibition, Social psychology and Facial expression.
His research integrates issues of Biological motion, Visual processing, Motion perception, Crowds and Eye movement in his study of Visual perception.
His Perception study combines topics in areas such as Interference theory and Brain function.
His studies deal with areas such as Cognitive neuroscience of visual object recognition and Visual system as well as Form perception.
His biological study spans a wide range of topics, including Communication and Computer vision.
His most cited work include:
- Visual Crowding: a fundamental limit on conscious perception and object recognition (513 citations)
- Visual Crowding: a fundamental limit on conscious perception and object recognition (513 citations)
- Serial dependence in visual perception. (314 citations)
What are the main themes of his work throughout his whole career to date?
David Whitney mostly deals with Perception, Artificial intelligence, Cognitive psychology, Computer vision and Visual perception.
He has researched Perception in several fields, including Stimulus and Eye movement.
The concepts of his Artificial intelligence study are interwoven with issues in Communication and Pattern recognition.
His study in the field of Crowding is also linked to topics like Object.
His work in Crowding addresses subjects such as Cognitive neuroscience of visual object recognition, which are connected to disciplines such as Visual system and Form perception.
His studies in Visual perception integrate themes in fields like Orientation, Psychophysics, Audiology and Autism.
He most often published in these fields:
- Perception (52.30%)
- Artificial intelligence (44.52%)
- Cognitive psychology (39.93%)
What were the highlights of his more recent work (between 2018-2021)?
- Perception (52.30%)
- Cognitive psychology (39.93%)
- Artificial intelligence (44.52%)
In recent papers he was focusing on the following fields of study:
David Whitney focuses on Perception, Cognitive psychology, Artificial intelligence, Serial dependence and Computer vision.
When carried out as part of a general Perception research project, his work on Visual processing and Visual perception is frequently linked to work in Operationalization, therefore connecting diverse disciplines of study.
His Visual perception study integrates concerns from other disciplines, such as Probability distribution, Contrast and Stimulus.
David Whitney works in the field of Cognitive psychology, namely Set.
His work in Artificial intelligence addresses issues such as Natural language processing, which are connected to fields such as Value and Cognition.
In Computer vision, David Whitney works on issues like Foveal, which are connected to Gaze, Peripheral vision and Multi resolution.
Between 2018 and 2021, his most popular works were:
- Tracking the affective state of unseen persons. (12 citations)
- Serial dependence in a simulated clinical visual search task (6 citations)
- Serial dependence in a simulated clinical visual search task (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Perception
- Visual perception
His scientific interests lie mostly in Perception, Cognitive psychology, Artificial intelligence, Feature and Visual search.
He is involved in the study of Perception that focuses on Visual perception in particular.
His studies deal with areas such as Probability distribution, Contrast and Feature as well as Visual perception.
His work on Set as part of general Cognitive psychology research is frequently linked to Poison control, thereby connecting diverse disciplines of science.
His Artificial intelligence research includes themes of Computer vision and Foveal.
His Visual search research is multidisciplinary, relying on both Image and Pattern recognition.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
