Developing a formalism for Gibson?s affordances using colored petri nets
Abstract (Summary)
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Gibson (1979/1986) proposed affordance theory to represent and model what the
environment offers an animal for good or ill. Since its inception by Gibson, affordance
theory has undergone several refinements. A few affordance theory-based formalisms are
reviewed in this proposal to demonstrate their potential advantages and disadvantages
and to motivate an overarching formalism to model problems within dynamic
environments.
The purpose of this research is to provide a computational formalism for Gibson’s
affordance theory based on characteristics of dynamic environments to include
concurrency, stochasticity and spatio-temporality. A Colored Petri Net (CPN)-based
model is proposed as a suitable instrument for developing this formalism. A
mathematical model, graphical representation and computational model for this CPN
model is developed within the context of a driving problem. The affordances offered by
this driving environment are analogous to those offered by a set of highway lanes. A
formative analysis technique is also introduced along with an overall data analysis
procedure to analyze the precision of the actualized actions and the niche of lane
affordances that become available to the driver within the highway lane-driver system.
An empirical study was conducted using a team of two expert drivers to elicit
various behaviors that would help resolve the precision of the CPN model. Four output
metrics were defined that represent the deviation between the empirical human
performance and model predicted data: lane position, turn direction of the subject driver’s
vehicle, time taken by the subject driver to move from the starting lane to the exit lane
and the total utilization of the exit lane by the subject driver. The significance of the
results is then explained with reference to research implications and future work.
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Bibliographical Information:
Advisor:
School:Pennsylvania State University
School Location:USA - Pennsylvania
Source Type:Master's Thesis
Keywords:
ISBN:
Date of Publication: