What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Statistics
Stephen R. Ellis mainly focuses on Artificial intelligence, Computer vision, Simulation, Virtual reality and Virtual machine.
His work in the fields of Artificial intelligence, such as Field of view, intersects with other areas such as Perspective.
His Computer vision research incorporates elements of Visualization and Perception.
His Simulation research integrates issues from Immersion, Demand characteristics, Applied psychology and Simulator sickness.
The various areas that Stephen R. Ellis examines in his Virtual reality study include Monocular and Computer graphics.
His work on Sense of presence is typically connected to Focus as part of general Human–computer interaction study, connecting several disciplines of science.
His most cited work include:
- The effect of perspective geometry on judged direction in spatial information instruments (137 citations)
- Perspective traffic display format and airline pilot traffic avoidance (133 citations)
- Presence of mind: A reaction to thomas sheridan's “further musings on the psychophysics of presence” (126 citations)
What are the main themes of his work throughout his whole career to date?
Stephen R. Ellis mainly investigates Artificial intelligence, Computer vision, Simulation, Virtual reality and Human–computer interaction.
Stephen R. Ellis integrates several fields in his works, including Artificial intelligence and Display device.
His research in Computer vision intersects with topics in Computer graphics and Perception.
Stephen R. Ellis interconnects Spacecraft, Air traffic control and Fuel efficiency in the investigation of issues within Simulation.
His work in the fields of Virtual reality, such as Mixed reality, overlaps with other areas such as Virtual machine and Telerobotics.
His Human–computer interaction research incorporates themes from Motion, Multimedia and Immersion.
He most often published in these fields:
- Artificial intelligence (54.68%)
- Computer vision (51.80%)
- Simulation (22.30%)
What were the highlights of his more recent work (between 2007-2020)?
- Artificial intelligence (54.68%)
- Computer vision (51.80%)
- Augmented reality (20.14%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Artificial intelligence, Computer vision, Augmented reality, Virtual reality and Human–computer interaction.
His Artificial intelligence research is multidisciplinary, incorporating elements of Calibration, Accommodation and Separation.
His specific area of interest is Computer vision, where he studies Stereoscopy.
His study in Augmented reality is interdisciplinary in nature, drawing from both Matching, Virtual image, Depth perception, Visualization and Observer.
His research in the fields of Mixed reality overlaps with other disciplines such as Virtual machine.
His studies deal with areas such as Multimedia and Formative assessment as well as Human–computer interaction.
Between 2007 and 2020, his most popular works were:
- The effects of virtual reality, augmented reality, and motion parallax on egocentric depth perception (119 citations)
- Matching and Reaching Depth Judgments with Real and Augmented Reality Targets (50 citations)
- Depth judgment measures and occluding surfaces in near-field augmented reality (45 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Computer vision
- Statistics
Stephen R. Ellis focuses on Computer vision, Artificial intelligence, Augmented reality, Stereoscopy and Depth perception.
His Computer vision study frequently draws connections to other fields, such as Virtual reality.
His Virtual reality research integrates issues from Peripheral vision, Parallax and Virtual space.
His work in Artificial intelligence is not limited to one particular discipline; it also encompasses Pinhole camera.
His Augmented reality study integrates concerns from other disciplines, such as Matching, Visualization, Task and Computer graphics.
In Stereoscopy, he works on issues like Visual search, which are connected to Contrast and Data visualization.
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.
