Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers.
Karthik AdapaShiva K. DasPrithima ReddyFei YuCarlton MooreLukasz MazurPublished in: AMIA (2021)
Keyphrases
- supervised machine learning
- manually annotated
- user satisfaction
- supervised learning
- user acceptance
- training data
- decision trees
- support vector
- active learning
- response time
- training examples
- positive effects
- interface design
- cognitive style
- individual level
- feature selection
- feature vectors
- training set
- relation extraction
- feature extraction