AAAI Publications, The Twenty-Sixth International FLAIRS Conference

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Analysis and Cleaning of User Traces Through Comparison of Multiple Traces
Michael William Floyd, Babak Esfandiari

Last modified: 2013-05-19


Traces of user behaviour can be a valuable source of knowledge that can be used during case-based reasoning. This paper presents an approach for analyzing and cleaning user traces. The analysis looks to identify three properties in traces: reasoning with an internal state, non-deterministic behaviour and error. The existence of any of these properties may influence how a system should reason or store knowledge in cases. Initially, each trace is examined to see areas that might contain one of the three properties. Multiple versions of the trace are then generated in order to determine which specific property is present. The analysis is applied to traces generated by observing both a computer and human controller for an obstacle avoidance robot. The results demonstrate that the analysis is able to successfully identify which properties are present and clean many of the errors that exist in the traces.


case-based reasoning; learning by observation

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