Paper: A Generative Model for User Simulation in a Spatial Navigation Domain

ACL ID E14-1066
Title A Generative Model for User Simulation in a Spatial Navigation Domain
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We propose the use of a generative model to simulate user behaviour in a novel task- oriented dialog domain, where user goals are spatial routes across artificial land- scapes. We show how to derive an effi- cient feature-based representation of spa- tial goals, admitting exact inference and generalising to new routes. The use of a generative model allows us to capture a range of plausible behaviour given the same underlying goal. We evaluate intrin- sically using held-out probability and per- plexity, and find a substantial reduction in uncertainty brought by our spatial repre- sentation. We evaluate extrinsically in a human judgement task and find that our model?s behaviour does not differ signif- icantly from the behaviour of real users.