Human–computer interaction, GOMS, CPM-GOMS, Usability and Usability engineering are his primary areas of study. His research integrates issues of User interface and Multimedia in his study of Human–computer interaction. His GOMS study integrates concerns from other disciplines, such as Variety, Workstation and Cognitive model.
The study incorporates disciplines such as NGOMSL, Single task and Contrast in addition to Cognitive model. His CPM-GOMS study is focused on Task in general. His work carried out in the field of Task brings together such families of science as Machine learning, Soar and Artificial intelligence.
His primary areas of study are Human–computer interaction, Usability, Artificial intelligence, Task and GOMS. Bonnie E. John interconnects Human performance modeling, User interface, Multimedia and Cognitive model in the investigation of issues within Human–computer interaction. As a part of the same scientific study, Bonnie E. John usually deals with the Usability, concentrating on Software engineering and frequently concerns with Software architecture, Software, Software development, Software construction and Software quality.
His research in Artificial intelligence tackles topics such as Machine learning which are related to areas like Data mining. His Task research includes themes of Soar, Knowledge management and Key. His work on CPM-GOMS is typically connected to Perception as part of general GOMS study, connecting several disciplines of science.
His main research concerns Human–computer interaction, Usability, Task, Human performance modeling and User interface. His Human–computer interaction research integrates issues from World Wide Web, Interface and Cognitive model. When carried out as part of a general Usability research project, his work on Usability engineering and Pluralistic walkthrough is frequently linked to work in Test case, therefore connecting diverse disciplines of study.
He works mostly in the field of Usability engineering, limiting it down to concerns involving Software development process and, occasionally, Software engineering. The Task study combines topics in areas such as Cognitive psychology, Visual search, Simulation and Fluid intelligence. His study in User interface is interdisciplinary in nature, drawing from both Interface design, Scripting language and Human interface device.
Bonnie E. John mainly focuses on Human–computer interaction, Task, Usability, Artificial intelligence and Machine learning. Many of his studies on Human–computer interaction apply to High Productivity Computing Systems as well. His Human performance modeling study in the realm of Task connects with subjects such as Environment and intelligence.
The study of Usability is intertwined with the study of User interface in a number of ways. Bonnie E. John has included themes like Multimedia, Keystroke logging and Active listening in his User interface study. His Artificial intelligence study combines topics from a wide range of disciplines, such as Software maintenance and Debugging.
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The GOMS family of user interface analysis techniques: comparison and contrast
Bonnie E. John;David E. Kieras.
ACM Transactions on Computer-Human Interaction (1996)
The GOMS family of user interface analysis techniques: comparison and contrast
Bonnie E. John;David E. Kieras.
ACM Transactions on Computer-Human Interaction (1996)
Using GOMS for user interface design and evaluation: which technique?
Bonnie E. John;David E. Kieras.
ACM Transactions on Computer-Human Interaction (1996)
Using GOMS for user interface design and evaluation: which technique?
Bonnie E. John;David E. Kieras.
ACM Transactions on Computer-Human Interaction (1996)
Project ernestine: validating a GOMS analysis for predicting and explaining real-world task performance
Wayne D. Gray;Bonnie E. John;Michael E. Atwood.
Human-Computer Interaction (1993)
Project ernestine: validating a GOMS analysis for predicting and explaining real-world task performance
Wayne D. Gray;Bonnie E. John;Michael E. Atwood.
Human-Computer Interaction (1993)
Predictive human performance modeling made easy
Bonnie E. John;Konstantine Prevas;Dario D. Salvucci;Ken Koedinger.
human factors in computing systems (2004)
Predictive human performance modeling made easy
Bonnie E. John;Konstantine Prevas;Dario D. Salvucci;Ken Koedinger.
human factors in computing systems (2004)
The tangled Web we wove: a taskonomy of WWW use
Michael D. Byrne;Bonnie E. John;Neil S. Wehrle;David C. Crow.
human factors in computing systems (1999)
The tangled Web we wove: a taskonomy of WWW use
Michael D. Byrne;Bonnie E. John;Neil S. Wehrle;David C. Crow.
human factors in computing systems (1999)
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