Elicitation of Quantified Description Under Time Constraints
- Gordon Briggs, U.S. Naval Research Laboratory, Washington, District of Columbia, United States
- Christina Wasylyshyn, U.S. Naval Research Laboratory, Washington, District of Columbia, United States
- Paul Bello, U.S. Naval Research Laboratory, Washington, District of Columbia, United States
AbstractQuantity can be expressed in a variety of ways and at different levels of precision. One factor that influences numerical description of elements in a visual scene is how long the scene is observed. We extend a previous incremental model of numerical perception to model quantified description under time constraints. Our extended model predicts that as presentation duration decreases and as the quantity of items to be enumerated increases, the frequency of inexact quantifiers will increase. We conducted two human subject elicitation studies to test these predictions. Our findings were consistent with our model’s predictions. Additionally, we demonstrate that our novel model of incremental numerical perception and quantified description closely predicts the precise proportion of exact numerical responses generated by in these experiments.
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