Inferring Cognitive Models from Data using Approximate Bayesian Computation [CHI ’17]

abc4hci

This paper studies advanced inference methods for cognitive modeling in HCI, showing that ABC (i) improves estimates of model parameter values, (ii) enables meaningful comparisons between model variants, and (iii) supports fitting models to individual users.

Upcoming paper at CHI 2017 by:
Antti Kangasrääsiö , Aalto University, Espoo, Finland
Kumaripaba Athukorala , Aalto University, Helsinki, Finland
Andrew Howes , University of Birmingham, UK
Jukka Corander, University of Oslo, Norway
Samuel Kaski , Aalto University, Helsinki, Finland
Antti Oulasvirta , Aalto University, Helsinki, Finland

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