A Computational Exploration of Problem-Solving Strategies and Gaze Behaviors on the Block Design Task

Maithilee Kunda, Mohamed El Banani, James M. Rehg

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The block design task, a standardized test of nonverbal reasoning, is often used to characterize atypical patterns of cognition in individuals with developmental or neurological conditions. Many studies suggest that, in addition to looking at quantitative differences in block design speed or accuracy, observing qualitative differences in individuals' problem-solving strategies can provide valuable information about a person's cognition. However, it can be difficult to tie theories at the level of problem-solving strategy to predictions at the level of externally observable behaviors such as gaze shifts and patterns of errors. We present a computational architecture that is used to compare different models of problem-solving on the block design task and to generate detailed behavioral predictions for each different strategy. We describe the results of three different modeling experiments and discuss how these results provide greater insight into the analysis of gaze behavior and error patterns on the block design task.

Original languageEnglish (US)
Title of host publicationProceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016
EditorsAnna Papafragou, Daniel Grodner, Daniel Mirman, John C. Trueswell
PublisherThe Cognitive Science Society
Pages235-240
Number of pages6
ISBN (Electronic)9780991196739
StatePublished - 2016
Externally publishedYes
Event38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016 - Philadelphia, United States
Duration: Aug 10 2016Aug 13 2016

Publication series

NameProceedings of the 38th Annual Meeting of the Cognitive Science Society, CogSci 2016

Conference

Conference38th Annual Meeting of the Cognitive Science Society: Recognizing and Representing Events, CogSci 2016
Country/TerritoryUnited States
CityPhiladelphia
Period8/10/168/13/16

Keywords

  • artificial intelligence
  • cognitive assessment
  • nonverbal intelligence
  • spatial reasoning
  • visual attention

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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