Drive the Bus: Extending JSegMan to Drive a Virtual Long-Range Bus

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

Abstract

ACT-R has been used to study human-computer interaction. By default, ACT-R models can only interact with interfaces written in Common Lisp. JSegMan has allowed ACT-R models to interact with external interfaces without modification. Currently, JSegMan has been used in conjunction with ACT-R’s standard motor module, which cannot model common behaviors such as holding down keys, chording (pressing multiple keys at the same time), and multihand actions (e.g., moving the mouse with the right hand while pressing a button with the left). Extensions to ACT-R’s motor module have been developed to address these issues and are included with ACT-R. Like the original motor module, the extensions can only interact with interfaces written in Common Lisp. This paper describes modifications to update JSegMan to work with ACT-R’s motor extensions and demonstrates its usage by creating a model to play Desert Bus. Furthermore, the implication of running a model over many hours is explored.

Original languageEnglish (US)
Title of host publicationProceedings of ICCM 2020 - 18th International Conference on Cognitive Modelling
EditorsTerrence C. Stewart
PublisherApplied Cognitive Science Lab, Penn State
ISBN (Electronic)9780998508245
StatePublished - 2020
Event18th International Conference on Cognitive Modelling, ICCM 2020 - Co-located with the 53rd Annual Meeting of the Society for Mathematical Psychology - Virtual, Online
Duration: Jul 20 2020Jul 31 2020

Publication series

NameProceedings of ICCM 2020 - 18th International Conference on Cognitive Modelling

Conference

Conference18th International Conference on Cognitive Modelling, ICCM 2020 - Co-located with the 53rd Annual Meeting of the Society for Mathematical Psychology
CityVirtual, Online
Period7/20/207/31/20

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Optimization
  • Modeling and Simulation

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