Open Access
High-level Behavior Representation Languages Revisited
Frank E. Ritter,Steven R. Haynes,Mark A. Cohen,Andrew Howes,Bonnie E. John,Brad Best,Christian Lebiere,Randolph M. Jones,Jacob Crossman,Richard L. Lewis +9 more
TLDR
This symposium will identify lessons for the development of high level behavior representation languages as well as for their users by identifying generalities and common lessons.Abstract:
: There has only been a short history of high level languages to model human cognition based on cognitive architectures. TAQL is an early example (Yost, 1993). TAQL showed a large (3x) speed increase over plain Soar, but because it did not support Soar's learning mechanism and because Soar changed soon after its release, TAQL's impact was not as great as its developer probably would have liked. It is time again to consider high level behavior representation languages. Cognitive models and intelligent agents are becoming more complex and pervasive. This is driving the need for development environments that make it easier to create, share, and reuse cognitive models. Several high level modeling languages have recently been created and several of them are described briefly here. These languages are each different, but they have a common goal of making modeling human data easier to perform. We can now see some generalities and common lessons. By holding this symposium we will identify lessons for the development of these languages as well as for their users. These languages are reviewed briefly in the next section.read more
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Journal ArticleDOI
Model-based evaluation of expert cell phone menu interaction
TL;DR: A novel and timely study of a new, very common HCI task; new versions of existing models for accurately predicting performance; and a search procedure to generate menu hierarchies that reduce traversal time, in simulation studies, by about a third.
Journal ArticleDOI
CoJACK: A high-level cognitive architecture with demonstrations of moderators, variability, and implications for situation awareness
TL;DR: CoJACK as discussed by the authors is a high-level cognitive architecture that provides insights on behavior variability, situation awareness, and behavioral moderators, as well as how to define, measure and control variability due to individual and temporal aspects of cognition.
Book ChapterDOI
Automated Usability Evaluation during Model-Based Interactive System Development
Sebastian Feuerstack,Marco Blumendorf,Maximilian Kern,Michael Kruppa,Michael Quade,Mathias Runge,Sahin Albayrak +6 more
TL;DR: This paper combines the Multi-Access Service Platform (MASP), a model-based runtime environment to offer multimodal user interfaces with the MeMo workbench which is a tool supporting an automated usability analysis.
Journal ArticleDOI
Predicting User Performance and Learning in Human--Computer Interaction with the Herbal Compiler
TL;DR: It is suggested that user models can be created that learn like users while doing the task, and a series of GOMS-like cognitive user models representing a range of performance at different stages of learning are reported.
Journal ArticleDOI
Applying Software Engineering to Agent Development
TL;DR: This article shows how all intelligent agent creation tools can be improved by taking advantage of established software engineering principles such as high-level languages, maintenance-oriented development environments, and software reuse.
References
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Dario D. Salvucci,Frank J. Lee +1 more
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Journal ArticleDOI
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