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

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.

[1]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  Scott Douglass,et al.  Large Declarative Memories in ACT-R , 2009 .

[3]  D. Norman Slips of the Mind and an Outline for a Theory of Action , 1979 .

[4]  Klaus-Peter Engelbrecht,et al.  A Predictive Model of Human Error based on User Interface Development Models and a Cognitive Architecture , 2015 .

[5]  Michael Healy,et al.  Theory and Applications of Ontology: Computer Applications , 2010 .

[6]  Jens Lehmann,et al.  DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia , 2015, Semantic Web.

[7]  Holger Schultheis,et al.  LTM C — An Improved Long-Term Memory for Cognitive Architectures , 2006 .

[8]  J. Gregory Trafton,et al.  Memory for goals: an activation-based model , 2002, Cogn. Sci..

[9]  C. Lebiere,et al.  The Newell Test for a theory of cognition , 2003, Behavioral and Brain Sciences.

[10]  John E. Laird,et al.  The Soar Cognitive Architecture , 2012 .

[11]  A. Jacobs,et al.  The word frequency effect: a review of recent developments and implications for the choice of frequency estimates in German. , 2011, Experimental psychology.

[12]  D. Bates,et al.  Linear Mixed-Effects Models using 'Eigen' and S4 , 2015 .

[13]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[14]  Marc Halbrügge,et al.  ACT-CV: Bridging the Gap between Cognitive Models and the Outer World , 2013 .

[15]  John R Anderson,et al.  An integrated theory of the mind. , 2004, Psychological review.

[16]  Dario D. Salvucci Endowing a Cognitive Architecture with World Knowledge , 2014, CogSci.

[17]  Wai-Tat Fu,et al.  SNIF-ACT: A Cognitive Model of User Navigation on the World Wide Web , 2007, Hum. Comput. Interact..

[18]  James Reason,et al.  Human Error , 1990 .

[19]  Alessandro Oltramari,et al.  Extending Cognitive Architectures with Semantic Resources , 2011, AGI.