What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Cognition
- Perception
Geoffrey Underwood mostly deals with Eye movement, Cognitive psychology, Human factors and ergonomics, Visual search and Perception.
The concepts of his Eye movement study are interwoven with issues in Visual perception and Social psychology.
The study incorporates disciplines such as Injury prevention and Suicide prevention in addition to Human factors and ergonomics.
As a part of the same scientific study, he usually deals with the Visual search, concentrating on Simulation and frequently concerns with Types of road and Cognitive load.
His Perception research incorporates themes from Visual saliency, Cognition, Salient objects and Salience.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Computer vision and Pattern recognition.
His most cited work include:
- Visual attention while driving: sequences of eye fixations made by experienced and novice drivers (351 citations)
- Effects of experience and processing demands on visual information acquisition in drivers (328 citations)
- VISUAL SEARCH OF DRIVING SITUATIONS: DANGER AND EXPERIENCE (319 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Cognitive psychology, Eye movement, Perception, Cognition and Artificial intelligence.
His studies deal with areas such as Stimulus, Word recognition, Reading and Social psychology as well as Cognitive psychology.
His biological study deals with issues like Visual search, which deal with fields such as Applied psychology.
His work on Visual attention as part of general Perception research is frequently linked to Injury prevention, thereby connecting diverse disciplines of science.
His Cognition study incorporates themes from Developmental psychology and Visual field.
His research investigates the connection between Artificial intelligence and topics such as Computer vision that intersect with problems in Visual saliency.
He most often published in these fields:
- Cognitive psychology (37.07%)
- Eye movement (31.22%)
- Perception (23.41%)
What were the highlights of his more recent work (between 2007-2017)?
- Eye movement (31.22%)
- Artificial intelligence (16.10%)
- Computer vision (11.71%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Eye movement, Artificial intelligence, Computer vision, Cognitive psychology and Perception.
His Eye movement research integrates issues from Stimulus, Visual search, Eye tracking and Communication.
His work in the fields of Fixation overlaps with other areas such as Domain and A domain.
His biological study spans a wide range of topics, including Saccade, Natural and Visual saliency.
His work deals with themes such as Salient, Social psychology, Saccadic masking and Motion, which intersect with Cognitive psychology.
His Perception research is multidisciplinary, incorporating elements of Psychological science and Cognition.
Between 2007 and 2017, his most popular works were:
- What can saliency models predict about eye movements? Spatial and sequential aspects of fixations during encoding and recognition (310 citations)
- Driving simulator validation with hazard perception (180 citations)
- Some hazards are more attractive than others: Drivers of varying experience respond differently to different types of hazard (130 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Cognition
- Perception
His primary areas of investigation include Eye movement, Artificial intelligence, Perception, Communication and Computer vision.
His studies examine the connections between Eye movement and genetics, as well as such issues in Stimulus, with regards to Memory performance.
His Perception research includes themes of Salient, Cognitive psychology, Salience and Emotionality.
His work carried out in the field of Cognitive psychology brings together such families of science as Masking, Social psychology, Saccadic masking and Change blindness.
He interconnects Covert, Cognition, Domain knowledge and Fixation in the investigation of issues within Communication.
The concepts of his Computer vision study are interwoven with issues in Feature, Distraction, Saccade, Visual search and Fixation.
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.
