Detecting and Responding to Information Overload With an Adaptive User Interface.

Journal: Human factors

Published Date: Oct 15, 2020

Abstract

OBJECTIVE: The objective of this study was to develop and evaluate an adaptive user interface that could detect states of operator information overload and calibrate the amount of information on the screen.

Authors

Sean W Kortschot

213607 University of Toronto, ON, Canada.
Greg A Jamieson

213607 University of Toronto, ON, Canada.
Amrit Prasad

213607 University of Toronto, ON, Canada.

Keywords

Attention Humans Machine Learning Task Performance and Analysis User-Computer Interface Workload

External Resources

View on PubMed Access via DOI PubMed (33054359)

Detecting and Responding to Information Overload With an Adaptive User Interface.

Abstract

Authors

Keywords

External Resources

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