What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Human–computer interaction
- Computer vision
Shumin Zhai mostly deals with Human–computer interaction, Simulation, Input device, Fitts's law and Artificial intelligence.
User interface design is closely connected to Mobile device in his research, which is encompassed under the umbrella topic of Human–computer interaction.
His Simulation research incorporates themes from Algorithm, Layer, Motor control and Text entry.
His Input device research includes elements of Depth perception and Graphics software.
The various areas that he examines in his Artificial intelligence study include Computer vision and Natural language processing.
In Word, Shumin Zhai works on issues like Stylus, which are connected to Usability.
His most cited work include:
- Manual and gaze input cascaded (MAGIC) pointing (557 citations)
- Beyond Fitts' law: models for trajectory-based HCI tasks (449 citations)
- SHARK2: a large vocabulary shorthand writing system for pen-based computers (288 citations)
What are the main themes of his work throughout his whole career to date?
Shumin Zhai spends much of his time researching Human–computer interaction, Artificial intelligence, Gesture, Speech recognition and Computer vision.
His Human–computer interaction study deals with Fitts's law intersecting with Simulation.
He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Input device and, in certain cases, Pointing device.
He has included themes like Decoding methods and Mobile device in his Gesture study.
His work deals with themes such as Character, Word and Text entry, which intersect with Speech recognition.
His research in the fields of Eye tracking overlaps with other disciplines such as Graphical user interface.
He most often published in these fields:
- Human–computer interaction (29.76%)
- Artificial intelligence (27.80%)
- Gesture (21.95%)
What were the highlights of his more recent work (between 2014-2021)?
- Gesture (21.95%)
- Artificial intelligence (27.80%)
- Human–computer interaction (29.76%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Gesture, Artificial intelligence, Human–computer interaction, Touchscreen and Typing.
His Gesture research incorporates elements of Feature, Speech recognition and Mobile device.
His research in Speech recognition intersects with topics in Decoding methods, Word, Motor control and Gesture recognition.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Pattern recognition, Computer vision and Natural language processing.
His Human–computer interaction research is multidisciplinary, incorporating elements of Multimedia, Fitts's law and Model selection.
His Virtual keyboard research focuses on Mode and how it connects with Simulation.
Between 2014 and 2021, his most popular works were:
- Neural network for keyboard input decoding (94 citations)
- WatchWriter: Tap and Gesture Typing on a Smartwatch Miniature Keyboard with Statistical Decoding (62 citations)
- Performance and User Experience of Touchscreen and Gesture Keyboards in a Lab Setting and in the Wild (52 citations)
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.
