U.S. Department of Energy

Pacific Northwest National Laboratory

Blaha presents on HCI at MP2016

Abstract

Visual analytics is the science of analytical reasoning supported by interactive visual interfaces. Developing effective interactive systems requires not only an understanding of the relevant visual perception and decision making processes but also an understanding of how input modalities and the structure of the user interactions both reflect and shape cognitive behaviors. This creates a prime opportunity for bridging mathematical and computational modeling approaches for movement modeling. Mathematical models offer tools for thorough characterization of measured movement behaviors. Computational models offer simulation capabilities that can support model-based evaluation of candidate interface designs. We demonstrate this synergy by leveraging a combination of Gaussian Process and Fitts’ Law modeling to derive estimates of movement dynamics, such as velocity and acceleration, and to assess how task manipulations influence these movement parameters. The statistics derived in the mathematical modeling are then used to parameterize computational implementations of motor control models, which can simulate human performance on interface interactions. These simulations can be directly compared to the human data that they emulate. I argue that a smart combination of mathematical and computational approaches will facilitate use of both types of formalisms in applied domains, particularly in interactive interface design.

Blaha LM.  2016.  "Functional Analysis of Movement Behavior for Human-Computer Interaction."  Abstract submitted to Society for Mathematical Psychology, New Brunswick, NJ.  PNNL-SA-117209. 

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