Statistical modelling of networked human-automation performance using working memory capacity
Journal Article
Overview
publication date
- March 4, 2014
has subject area
- Aircraft
- Attention
- Automation - Robotics
- Computer Simulation
- Computing Methodologies - Robotics
- Decision Making
- Electronics - Robotics
- Engineering - Man-Machine Systems
- Environment and Public Health - Bayes Theorem
- Environment and Public Health - Linear Models
- Environment and Public Health - Linear Models
- Environment and Public Health - Regression Analysis
- Environment and Public Health - Statistics, Nonparametric
- Female
- Health Care Evaluation Mechanisms - Bayes Theorem
- Health Care Evaluation Mechanisms - Linear Models
- Health Care Evaluation Mechanisms - Linear Models
- Health Care Evaluation Mechanisms - Regression Analysis
- Health Care Evaluation Mechanisms - Statistics, Nonparametric
- Humans
- Investigative Techniques - Bayes Theorem
- Investigative Techniques - Linear Models
- Investigative Techniques - Linear Models
- Investigative Techniques - Regression Analysis
- Investigative Techniques - Statistics, Nonparametric
- Male
- Memory, Short-Term
- Models, Theoretical - Linear Models
- Personnel Management - Workload
- Psychological Phenomena - Task Performance and Analysis
- Psychology, Applied - Man-Machine Systems
- Psychology, Applied - Task Performance and Analysis
- Psychology, Applied - Task Performance and Analysis
- Technology - Man-Machine Systems
- Work - Workload
has restriction
- closed
Date in CU Experts
- October 15, 2014 11:58 AM
Full Author List
- Ahmed N; de Visser E; Shaw T; Mohamed-Ameen A; Campbell M; Parasuraman R
author count
- 6
citation count
- 13
published in
Other Profiles
International Standard Serial Number (ISSN)
- 0014-0139
Electronic International Standard Serial Number (EISSN)
- 1366-5847
Digital Object Identifier (DOI)
Additional Document Info
start page
- 295
end page
- 318
volume
- 57
issue
- 3