Deakin University
Browse

File(s) under permanent embargo

Fifth International Workshop on Human Factors in Modeling / Modeling of Human Factors (HuFaMo'21)

conference contribution
posted on 2022-10-09, 04:30 authored by H Khalajzadeh, R Jolak, M Goulao, S Abrahao, J Grundy, B Selic, X Le Pallec, E Renaux
Studying human factors and experiences in modeling helps to gain knowledge on the process and use of modeling in practice to optimize system outcomes and user well-being. Moreover, to better support the human aspects of stakeholders and end-users of the software, incorporating the human aspects into software engineering processes from the early modeling and design stages is essential. Considering human factors in software design involves not only 1) studying in detail the interactions between users (humans), but also 2) studying the human factors of the end-users of the system. The HuFaMo workshop was established in 2015 to promote this form of research by creating a venue to discuss and disseminate these topics. The HuFaMo Workshop originally aimed at studying human factors for software systems (implemented or not) allowing humans to model. Hosted within the MODELS conference, the first four editions of the workshop benefited from a high-quality audience, allowing significant progress on this issue. For this fifth edition, we have widened the scope of the workshop to consider the modeling of human factors during the design of the software as well. This helps to study all types of relationships that modeling and human factors can have and their impact on processes, products, and end-users as well as others that might be affected by the system.

History

Pagination

337 - 340

ISBN-13

9781665424844

Title of proceedings

Companion Proceedings - 24th International Conference on Model-Driven Engineering Languages and Systems, MODELS-C 2021

Usage metrics

    Research Publications

    Categories

    No categories selected

    Keywords

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC