What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Programming language
The scientist’s investigation covers issues in Human–computer interaction, User interface, Gesture, Artificial intelligence and Computer vision.
Joseph J. LaViola combines subjects such as Visualization and Computer graphics, Graphics with his study of Human–computer interaction.
The various areas that he examines in his User interface study include Java, Multimedia and Source code.
His Multimedia study deals with Stereo display intersecting with Control, Game design and Natural user interface.
In his study, which falls under the umbrella issue of Gesture, Computer graphics, Mobile robot navigation and Iterative design is strongly linked to Virtual reality.
His work in Computer vision addresses subjects such as Virtual machine, which are connected to disciplines such as Motion, Cognitive psychology, Mental image, Virtual reality sickness and Simulator sickness.
His most cited work include:
- 3D User Interfaces: Theory and Practice (1260 citations)
- A discussion of cybersickness in virtual environments (597 citations)
- An Introduction to 3-D User Interface Design (263 citations)
What are the main themes of his work throughout his whole career to date?
Joseph J. LaViola mostly deals with Human–computer interaction, User interface, Artificial intelligence, Gesture and Multimedia.
His Human–computer interaction study combines topics from a wide range of disciplines, such as Sketch and Interface.
His User interface research includes elements of Visualization and Computer graphics.
His research in Artificial intelligence focuses on subjects like Computer vision, which are connected to Virtual machine and Depth perception.
His work on Gesture recognition as part of general Gesture study is frequently linked to Natural, therefore connecting diverse disciplines of science.
His Multimedia research includes themes of Interface and 3D interaction.
He most often published in these fields:
- Human–computer interaction (43.52%)
- User interface (23.61%)
- Artificial intelligence (23.61%)
What were the highlights of his more recent work (between 2018-2021)?
- Human–computer interaction (43.52%)
- Artificial intelligence (23.61%)
- Augmented reality (9.26%)
In recent papers he was focusing on the following fields of study:
Joseph J. LaViola focuses on Human–computer interaction, Artificial intelligence, Augmented reality, Virtual reality and Computer vision.
Joseph J. LaViola integrates Human–computer interaction with Human-centered computing in his study.
Joseph J. LaViola interconnects Class, Scheme and Source code in the investigation of issues within Artificial intelligence.
His Augmented reality study incorporates themes from Visualization, Physics education, Gaze and Identification.
His work deals with themes such as Object, Virtual machine, User interface and Component, which intersect with Virtual reality.
His Virtual machine study combines topics in areas such as User experience design and Overhead.
Between 2018 and 2021, his most popular works were:
- DeepGRU: Deep Gesture Recognition Utility (18 citations)
- Effects of Shared Gaze Parameters on Visual Target Identification Task Performance in Augmented Reality (7 citations)
- Determining Design Requirements for AR Physics Education Applications (7 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Programming language
His primary areas of investigation include Augmented reality, Human–computer interaction, Visualization, Gaze and Identification.
His Visualization study integrates concerns from other disciplines, such as Cursor, Interface and Process, Iterative design.
His study in Iterative design is interdisciplinary in nature, drawing from both Immersion, Modeling and simulation and Conceptual model.
The Gaze study combines topics in areas such as Color vision, Virtual machine, Virtual actor and Contrast.
Joseph J. LaViola has included themes like Interpersonal communication, Word error rate, Cognitive load, Eye tracking and Cursor in his Identification study.
His studies in Eye tracking integrate themes in fields like Latency and Embodied cognition.
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