Cognitive Load Management for Planning and Executing Verification Strategies

Sukhwan Jung; Alejandro Salado

doi:10.65351/hsi24.009

Abstract

Verification is an integral stage of the system engineering process, partially to capture human errors during the process. There is, however, seemingly less attention given to the potential human errors caused by verification engineers themselves, that is, errors that result from ineffective verification planning and/or execution. We focus on two sets of possible cognitive overloads during the verification process: short term overloads during each verification event and long-term overloads over the system lifecycle. A graph-based mathematical approach is proposed to lower such cognitive overloads, utilizing orthogonality and graphical representation. The research is in progress, with theoretical and empirical validations remaining. Practical engineering considerations will be added to finalize the proposed approach, which will then go through an empirical study for validation.

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Citation

BibTeX citation:

@inproceedings{jung2024,
  author = {Jung, Sukhwan and Salado, Alejandro},
  editor = {Masson, Dimitri},
  publisher = {INCOSE},
  title = {Cognitive {Load} {Management} for {Planning} and {Executing}
    {Verification} {Strategies}},
  booktitle = {Proceedings International Conference on Human Systems
    Integration},
  volume = {3},
  date = {2024-08-29},
  url = {https://hsi-wg.github.io/conferences/HSI2024/proceedings/cognitive-load-management-for-planning-and-executing-verification-strategies.html},
  doi = {10.65351/hsi24.009},
  langid = {en},
  abstract = {Verification is an integral stage of the system
    engineering process, partially to capture human errors during the
    process. There is, however, seemingly less attention given to the
    potential human errors caused by verification engineers themselves,
    that is, errors that result from ineffective verification planning
    and/or execution. We focus on two sets of possible cognitive
    overloads during the verification process: short term overloads
    during each verification event and long-term overloads over the
    system lifecycle. A graph-based mathematical approach is proposed to
    lower such cognitive overloads, utilizing orthogonality and
    graphical representation. The research is in progress, with
    theoretical and empirical validations remaining. Practical
    engineering considerations will be added to finalize the proposed
    approach, which will then go through an empirical study for
    validation.}
}

For attribution, please cite this work as:

Jung, Sukhwan, and Alejandro Salado. 2024. “Cognitive Load Management for Planning and Executing Verification Strategies.” In Proceedings International Conference on Human Systems Integration, edited by Dimitri Masson. Vol. 3. INCOSE. https://doi.org/10.65351/hsi24.009.