Effects of Perceptual Separability as Aid Display Format on Operator Reaction Time
Description/Abstract/Artist Statement
The current experiment examines whether perceptual separability as a means to present an automated aid’s decisional recommendation influences operators’ automation usage strategies in a speeded judgment task. In the experiment, participants in a production factory simulation will perform a speeded decision-making task, based on the height of a stimulus rectangle. Aid format will be manipulated using effects of perceptual separability. Perceptual separability is the ability to process properties of a stimulus independently such as color and height information simultaneously. Using a within-subjects design, the aid format will be manipulated between width, an integral property, and color, a perceptually separable property. Decision accuracy and response times will be the dependent measures. Bayesian statistics will be employed instead of null-hypothesis significance testing (NHST) because it provides quantitative information about the strength of evidence either for or against effects of interest, while NHST does not. I hypothesize that 1) performance will be better with assistance of the aid and 2) RTs will be shorter with the color aid than the width aid. Findings of the current study will help guide automation designers to optimize human-automation team performance in speeded cognitive tasks.
Faculty Advisor/Mentor
Yusuke Yamani
Presentation Type
Poster
Disciplines
Human Factors Psychology
Session Title
Poster Session
Location
Learning Commons, Northwest Atrium
Start Date
2-2-2019 8:00 AM
End Date
2-2-2019 12:30 PM
Effects of Perceptual Separability as Aid Display Format on Operator Reaction Time
Learning Commons, Northwest Atrium
The current experiment examines whether perceptual separability as a means to present an automated aid’s decisional recommendation influences operators’ automation usage strategies in a speeded judgment task. In the experiment, participants in a production factory simulation will perform a speeded decision-making task, based on the height of a stimulus rectangle. Aid format will be manipulated using effects of perceptual separability. Perceptual separability is the ability to process properties of a stimulus independently such as color and height information simultaneously. Using a within-subjects design, the aid format will be manipulated between width, an integral property, and color, a perceptually separable property. Decision accuracy and response times will be the dependent measures. Bayesian statistics will be employed instead of null-hypothesis significance testing (NHST) because it provides quantitative information about the strength of evidence either for or against effects of interest, while NHST does not. I hypothesize that 1) performance will be better with assistance of the aid and 2) RTs will be shorter with the color aid than the width aid. Findings of the current study will help guide automation designers to optimize human-automation team performance in speeded cognitive tasks.