What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Statistics
- The Internet
I. Scott MacKenzie mostly deals with Artificial intelligence, Fitts's law, Simulation, Text entry and Speech recognition.
I. Scott MacKenzie has included themes like Input device, Computer vision and Natural language processing in his Artificial intelligence study.
His Fitts's law study frequently draws parallels with other fields, such as Human performance modeling.
His Simulation study often links to related topics such as Pointing device.
His Speech recognition study incorporates themes from Soft keyboard and Keypad.
His Touchpad research is multidisciplinary, relying on both Steering law, Eye tracking and Usability.
His most cited work include:
- Fitts' law as a research and design tool in human-computer interaction (1183 citations)
- Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI (669 citations)
- Phrase sets for evaluating text entry techniques (540 citations)
What are the main themes of his work throughout his whole career to date?
I. Scott MacKenzie spends much of his time researching Artificial intelligence, Simulation, Fitts's law, Text entry and Speech recognition.
The concepts of his Artificial intelligence study are interwoven with issues in Computer vision and Natural language processing.
His research on Simulation also deals with topics like
- Pointing device together with Touchpad,
- Input device which is related to area like Human–computer interaction.
Fitts's law and Human performance modeling are commonly linked in his work.
His Text entry study integrates concerns from other disciplines, such as Data mining, Multimedia, Touchscreen, Character and Phrase.
His Speech recognition research focuses on Keypad and how it connects with Mobile device.
He most often published in these fields:
- Artificial intelligence (28.48%)
- Simulation (26.67%)
- Fitts's law (24.24%)
What were the highlights of his more recent work (between 2014-2021)?
- Fitts's law (24.24%)
- Human–computer interaction (18.18%)
- Computer vision (16.97%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Fitts's law, Human–computer interaction, Computer vision, Artificial intelligence and Simulation.
In his papers, I. Scott MacKenzie integrates diverse fields, such as Fitts's law, Throughput and Optical head-mounted display.
In the subject of general Human–computer interaction, his work in Text entry and Usability is often linked to PATH and Extensibility, thereby combining diverse domains of study.
His work in the fields of Computer vision, such as Gaze, Head tracking and Pixel, intersects with other areas such as Drag.
When carried out as part of a general Artificial intelligence research project, his work on Cursor is frequently linked to work in Hands free, Laptop and Color balance, therefore connecting diverse disciplines of study.
His studies deal with areas such as Input device, Task and Word error rate as well as Simulation.
Between 2014 and 2021, his most popular works were:
- Fitts’ Throughput and the Remarkable Case of Touch-Based Target Selection (29 citations)
- A Fitts' law study of click and dwell interaction by gaze, head and mouse with a head-mounted display (27 citations)
- DriftBoard: A Panning-Based Text Entry Technique for Ultra-Small Touchscreens (23 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Statistics
- The Internet
His primary areas of investigation include Fitts's law, Simulation, Throughput, Input method and Head tracking.
His research integrates issues of Consistency, Algorithm, Division, Pointing device and Data set in his study of Simulation.
His Throughput research includes elements of Single muscle, Graphical user interface, Input device and Human–computer interaction.
His Input method research includes themes of Touchscreen, Smartwatch and Text entry.
I. Scott MacKenzie is investigating Head tracking as part of his inquiry into Computer vision and Artificial intelligence.
The study incorporates disciplines such as Head and Mobile device in addition to Computer vision.
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.
