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A Novel Architectural Method for Producing Dynamic Gaze Behavior in Human-Robot Interactions
We present a novel integration between a computational framework for modeling attention-driven perception and cognition (ARCADIA) with a cognitive robotic architecture (DIARC), demonstrating how this integration can be used to drive the gaze behavior of a robotic platform.
Gordon Briggs, Meia Chita-Tegmark, Evan Krause, Will Bridewell, Paul F. Bello, Matthias Scheutz
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Selection Enables Enhancement: an Integrated Model of Object Tracking
In computational simulations of two psychological experiments, we demonstrate that spatial competition during enhancement and temporal competition for selection can explain a range of findings on multiple-object tracking, and we argue that the interaction between selection and enhancement captured in the model is critical to understanding attention more broadly.
Andrew Lovett, Will Bridewell, Paul F. Bello
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Selection and Enhancement: Modeling Attentional Capture During Visual Search
Meeting abstract presented at VSS 2019
Andrew Lovett, Will Bridewell, Paul F. Bello
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Modeling Motion Extrapolation in Multiple-Object Tracking
Meeting abstract presented at VSS 2017
Andrew Lovett, Will Bridewell, Paul F. Bello
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