Simulating humans: computer graphics animation and control
Simulating humans: computer graphics animation and control
Software features for the estimation of an operators' group activity in man-machine system
Advances in Engineering Software
A methodical approach for developing valid human performance models of flight deck operations
HCD'11 Proceedings of the 2nd international conference on Human centered design
Supervisory guide part I: detecting gaps in UAV swarm operator situation awareness
CHI '13 Extended Abstracts on Human Factors in Computing Systems
A system to support attention allocation: Development and application
Web Intelligence and Agent Systems
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In complex human-machine systems, the human operator is often required to intervene to detect and solve problems. Given this increased reliance on the human in these critical human-machine systems, there is an increasing need to validly predict how operators allocate their visual attention. This paper describes the information-seeking (attention-guiding) model within the Man-machine Integration Design and Analysis System (MIDAS) v5 software - a predictive model that uses the Salience, Effort, Expectancy and Value (SEEV) of an area of interest to guide a person's attention. The paper highlights the differences between using a probabilistic fixation approach and the SEEV approach in MIDAS to drive attention.