Inferring Cognitive Models from Data using Approximate Bayesian Computation

Antti Kangasrääsiö, Kumaripaba Athukorala, Andrew Howes, Jukka Corander, Samuel Kaski, Antti Oulasvirta

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

15 Citations (Scopus)
169 Downloads (Pure)

Abstract

An important problem for HCI researchers is to estimate the parameter values of a cognitive model from behavioral data. This is a difficult problem, because of the substantial complexity and variety in human behavioral strategies. We report an investigation into a new approach using approximate Bayesian computation (ABC) to condition model parameters to data and prior knowledge. As the case study we examine menu interaction, where we have click time data only to infer a cognitive model that implements a search behaviour with parameters such as fixation duration and recall probability. Our results demonstrate that ABC (i) improves estimates of model parameter values, (ii) enables meaningful comparisons between model variants, and (iii) supports fitting models to individual users. ABC provides ample opportunities for theoretical HCI research by allowing principled inference of model parameter values and their uncertainty.
Original languageEnglish
Title of host publicationProceedings of the 2017 CHI Conference on Human Factors in Computing Systems
PublisherACM
Pages1295-1306
Number of pages12
ISBN (Electronic)978-1-4503-4655-9
DOIs
Publication statusPublished - 9 May 2017
MoE publication typeA4 Article in a conference publication
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - Colorado Convention Center, Denver, United States
Duration: 6 May 201711 May 2017
Conference number: 35
https://chi2017.acm.org/

Conference

ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
CountryUnited States
CityDenver
Period06/05/201711/05/2017
Internet address

Keywords

  • Approximate Bayesian computation
  • cognitive models
  • computational rationality
  • inverse modeling

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