Skip to main content

CogTool+: Modeling human performance at large scale

Yuan, Haiyue, Li, Shujun, Rusconi, Patrice (2021) CogTool+: Modeling human performance at large scale. ACM Transactions on Computer-Human Interaction, 28 (2). Article Number 7. ISSN 1073-0516. E-ISSN 1557-7325. (doi:10.1145/3447534) (KAR id:87545)

PDF Publisher pdf
Language: English


Download (17MB) Preview
[thumbnail of ACMTOCHI2021.pdf]
Preview
This file may not be suitable for users of assistive technology.
Request an accessible format
Official URL
https://doi.org/10.1145/3447534

Abstract

Cognitive modeling tools have been widely used by researchers and practitioners to help design, evaluate and study computer user interfaces (UIs). Despite their usefulness, large-scale modeling tasks can still be very challenging due to the amount of manual work needed. To address this scalability challenge, we propose CogTool+, a new cognitive modeling software framework developed on top of the well-known software tool CogTool. CogTool+ addresses the scalability problem by supporting the following key features: 1) a higher level of parameterization and automation; 2) algorithmic components; 3) interfaces for using external data; 4) a clear separation of tasks, which allows programmers and psychologists to define reusable components (e.g., algorithmic modules and behavioral templates) that can be used by UI/UX researchers and designers without the need to understand the low-level implementation details of such components. CogTool+ also supports mixed cognitive models required for many large-scale modeling tasks and provides an offline analyzer of simulation results. In order to show how CogTool+ can reduce the human effort required for large-scale modeling, we illustrate how it works using a pedagogical example, and demonstrate its s actual performance by applying it to large-scale modeling tasks of two real-world user-authentication systems.

Item Type: Article
DOI/Identification number: 10.1145/3447534
Uncontrolled keywords: Cognitive modeling, software, simulation, automation, parameterization, CogTool, human performance evaluation, cyber security, user authentication
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76 Computer software
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
University wide Teaching/Research Centres > Kent Interdisciplinary Research Centre in Cyber Security
Depositing User: Shujun Li
Date Deposited: 12 Apr 2021 10:50 UTC
Last Modified: 14 May 2021 06:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/87545 (The current URI for this page, for reference purposes)
Li, Shujun: https://orcid.org/0000-0001-5628-7328
  • Depositors only (login required):