Chris Baber spends much of his time researching Command and control, Teamwork, Task, Human–computer interaction and Human factors and ergonomics. His studies in Command and control integrate themes in fields like Computer security, Systems analysis, Process and Process management. His Teamwork studies intersect with other subjects such as Operations research, Data science and Job analysis.
His work carried out in the field of Operations research brings together such families of science as Social network analysis and Software engineering. His work deals with themes such as Speech recognition, Articulation, Virtual reality and Selection, which intersect with Task. In his study, Rating scale, Mobile computing and Multimedia is inextricably linked to Wearable computer, which falls within the broad field of Human–computer interaction.
His main research concerns Human–computer interaction, Wearable computer, Task, Artificial intelligence and Human factors and ergonomics. His Human–computer interaction study combines topics from a wide range of disciplines, such as Context and Multimedia. The concepts of his Wearable computer study are interwoven with issues in Field, Simulation and Crime scene.
In his work, Process is strongly intertwined with Command and control, which is a subfield of Task. His Artificial intelligence study incorporates themes from Machine learning, Task analysis and Computer vision. While working on this project, he studies both Human factors and ergonomics and Operations research.
His primary areas of study are Human–computer interaction, Artificial intelligence, Cognitive science, Sensemaking and Task. His biological study focuses on Affordance. His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning, State space and Computer vision.
The various areas that Chris Baber examines in his Task study include Road traffic, Road traffic management, Information foraging and Reliability. His research investigates the connection between Action and topics such as Context that intersect with issues in Process. Chris Baber undertakes interdisciplinary study in the fields of Knowledge management and Teamwork through his research.
His primary scientific interests are in Task, Artificial intelligence, Human–computer interaction, Automation and Human factors and ergonomics. His Task study integrates concerns from other disciplines, such as Sampling, Real-time computing, Visual search, Information access and Road traffic management. He has included themes like Context, Machine learning and Computer vision in his Artificial intelligence study.
His studies deal with areas such as Wearable computer, Dance and State space as well as Computer vision. His study of Affordance is a part of Human–computer interaction. Particularly relevant to Musculoskeletal disorder is his body of work in Human factors and ergonomics.
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.
Human Factors Methods: A Practical Guide for Engineering and Design
Neville A. Stanton;Neville A. Stanton;Paul M. Salmon;Laura A. Rafferty;Guy H. Walker.
Distributed situation awareness in dynamic systems: theoretical development and application of an ergonomics methodology
Neville Anthony Stanton;Rebecca Stewart;Don M Harris;Robert Houghton.
What really is going on? Review of situation awareness models for individuals and teams
Paul Matthew Salmon;Neville Anthony Stanton;Guy H Walker;C Baber.
Theoretical Issues in Ergonomics Science (2008)
Virtual reality and augmented reality as a training tool for assembly tasks
A.C. Boud;D.J. Haniff;C. Baber;S.J. Steiner.
ieee international conference on information visualization (1999)
Command and control in emergency services operations: a social network analysis
Robert Houghton;C Baber;Richard McMaster;Neville Anthony Stanton.
Cognition and Tool Use: Forms of Engagement in Human and Animal Use of Tools
Human error identification techniques applied to public technology: predictions compared with observed use
Christopher Baber;Neville A. Stanton.
Applied Ergonomics (1996)
A context awareness architecture for facilitating mobile learning
Peter Lonsdale;Christopher Baber;Michael Sharples;Theodoros Arvanitis.
Proceeding of MLEARN 2003 (2003)
Event analysis of systemic teamwork (EAST): a novel integration of ergonomics methods to analyse C4i activity
Guy H Walker;Huw Gibson;Neville Anthony Stanton;C Baber.
Task analysis for error identification: a methodology for designing error-tolerant consumer products
C. Baber;N. A. Stanton.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: