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How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain

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Book cover Artificial General Intelligence (AGI 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9205))

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Abstract

Cognitive modeling as a method has proven successful at reproducing and explaining human intelligent behavior in specific laboratory situations, but still struggles to produce more general intelligent capabilities. A promising strategy to address this weakness is the addition of large semantic resources to cognitive architectures. We are investigating the usefulness of this approach in the context of human behavior during software use. By adding world knowledge from a Wikipedia-based ontology to a model of human sequential behavior, we achieve quantitatively and qualitatively better fits to human data.The combination of model and ontology yields additional insights that cannot be explained by the model or the ontology alone.

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Author information

Authors and Affiliations

  1. Quality and Usability Lab, Telekom Innovation Laboratories, Technische Universität Berlin, Ernst-Reuter-Platz 7, 10587, Berlin, Germany

    Marc Halbrügge & Klaus-Peter Engelbrecht

  2. DAI-Labor, Technische Universität Berlin, Ernst-Reuter-Platz 7, 10587, Berlin, Germany

    Michael Quade

Authors
  1. Marc Halbrügge
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  2. Michael Quade
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  3. Klaus-Peter Engelbrecht
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Corresponding author

Correspondence to Marc Halbrügge .

Editor information

Editors and Affiliations

  1. Reykjavik University, Reykjavik, Iceland

    Jordi Bieger

  2. Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR

    Ben Goertzel

  3. Mechanics and Optics, Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexey Potapov

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© 2015 Springer International Publishing Switzerland

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Halbrügge, M., Quade, M., Engelbrecht, KP. (2015). How Can Cognitive Modeling Benefit from Ontologies? Evidence from the HCI Domain. In: Bieger, J., Goertzel, B., Potapov, A. (eds) Artificial General Intelligence. AGI 2015. Lecture Notes in Computer Science(), vol 9205. Springer, Cham. https://doi.org/10.1007/978-3-319-21365-1_27

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  • DOI: https://doi.org/10.1007/978-3-319-21365-1_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21364-4

  • Online ISBN: 978-3-319-21365-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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