What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Human–computer interaction
- User interface
His scientific interests lie mostly in Human–computer interaction, Input device, Artificial intelligence, User interface and Simulation.
His Human–computer interaction study combines topics in areas such as Interaction Styles, Context, Multimedia and Macro.
His studies deal with areas such as Human performance modeling, Movement, Gesture and Set as well as Input device.
He combines subjects such as Fitts's law and Computer engineering with his study of Artificial intelligence.
His User interface study integrates concerns from other disciplines, such as Action, Cursor, Computer graphics and Click-through rate.
His Simulation course of study focuses on Speech recognition and Selection.
His most cited work include:
- Toolglass and magic lenses: the see-through interface (1427 citations)
- A multi-touch three dimensional touch-sensitive tablet (908 citations)
- Bricks: laying the foundations for graspable user interfaces (853 citations)
What are the main themes of his work throughout his whole career to date?
William Buxton mainly investigates Human–computer interaction, User interface, Input device, Artificial intelligence and Multimedia.
His research in Human–computer interaction intersects with topics in Graphical user interface, Interaction technique, Gesture, Cursor and Computer graphics.
His study brings together the fields of Computer graphics and User interface.
Input device is often connected to Simulation in his work.
The study incorporates disciplines such as Fitts's law, Computer vision and Natural language processing in addition to Artificial intelligence.
His study in the field of Videoconferencing is also linked to topics like Media space and Computer-supported cooperative work.
He most often published in these fields:
- Human–computer interaction (40.46%)
- User interface (19.08%)
- Input device (18.32%)
What were the highlights of his more recent work (between 1994-2018)?
- Human–computer interaction (40.46%)
- Multimedia (14.50%)
- Artificial intelligence (15.27%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Human–computer interaction, Multimedia, Artificial intelligence, User interface and Input device.
William Buxton interconnects Computer graphics, Graphics software, Presentation, Graphical user interface and Gesture in the investigation of issues within Human–computer interaction.
His work on Videoconferencing as part of general Multimedia study is frequently linked to Media space, Computer-supported cooperative work and IP Multimedia Subsystem, therefore connecting diverse disciplines of science.
His studies in Artificial intelligence integrate themes in fields like Fitts's law and Computer vision.
His User interface study frequently links to other fields, such as Pointing device.
William Buxton has included themes like Class, CAD, Technical drawing, Simulation and Set in his Input device study.
Between 1994 and 2018, his most popular works were:
- Bricks: laying the foundations for graspable user interfaces (853 citations)
- Manual and cognitive benefits of two-handed input: an experimental study (209 citations)
- Chunking and phrasing and the design of human-computer dialogues (196 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Human–computer interaction
- Graphical user interface
William Buxton mainly investigates Human–computer interaction, Input device, Artificial intelligence, User interface and Graphical user interface.
His Human–computer interaction research includes themes of Object, Cursor and Interface.
His study looks at the relationship between Input device and topics such as Set, which overlap with Action, Context and Graphics software.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Fitts's law and Computer vision.
His User interface research is multidisciplinary, incorporating elements of Spatial intelligence, Cursor and Gesture.
His Graphical user interface research is multidisciplinary, relying on both Augmented reality, User interface design, Natural user interface, Post-WIMP and Scheme.
This overview was generated by a machine learning system which analysed the scientist’s
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