HuFaMo

International Workshop on Human Factors in Modeling / Modeling of Human Factors

HuFaMo 2023

Co-located with MODELS 2023: ACM/IEEE 26th International Conference on Model Driven Engineering Languages and Systems (MODELS). Västerås, Sweden, October 1-3, 2023

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Overview

Software users are diverse, with differing personalities, technical proficiency, emotional reactions to software systems, socio-economic status, gender, age, culture, language, and preferences. Capturing and supporting human factors at requirements or design stages are essential for designing and modeling human-centric software systems that fit the end-users of the systems. Moreover, since modeling is an intrinsically human endeavor, many of the questions related to modeling can only be answered by empirical studies. The HuFaMo workshop series is a venue for early-stage empirical research involving human factors in modeling and design. Our goal is to improve the state of science and professionalism in empirical research in the MDE community. We perceive MODELS to be a high-quality venue that does not yet sufficiently reflect either modeling and design of human factors as well as the human factor in modeling and design.

With this seventh edition, we intend to continue our efforts to consolidate and strengthen the community of researchers concerned by these topics. Typical examples of modeling and design of human factors involve the modeling of end-users’ emotional states or personal characteristics. Relevant topics to modeling of human factors include, but are not limited to:

Examples of human factor in modeling and design might consider the usability of modeling methods, languages and tools, or the emotional states or personal judgments of modelers. Relevant topics include, but are not limited to:

Intended Audience

In line with our topic and objectives, we address four audiences. First, we welcome researchers and practitioners active in the field of modeling and design of human factors, and provide them with a venue for disseminating their research results and keeping up to date with the latest developments in the field. Second, we propose the same type of venue for researchers and practitioners in the field of human factors in modeling and design. Third, we address researchers who want to start conducting empirical research. In the workshop, they will find a constructive environment where they can present their study design or theoretical framework under development. Four, we address practitioners that develop modeling tools to share their feedback and issues while considering human factors in their tools.

Program

Opening, Keynote and Session 1 (8:30 - 10:00)

8:30 - 8:40 Day opening and Welcome

Chairs: Arnaud Blouin, Silvia Abrahao, Phillipe Palanque and Bran Selic

8:40- 9:40 Keynote: Human Factors and Selling Modeling, Juha-Pekka Tolvanen (Metacase) Chair: Bran Selic

Short Bio: Dr. Juha-Pekka Tolvanen is the CEO of MetaCase and co-founder of the DSM Forum. He has been involved in model-driven development and tools, notably metamodeling and code generators, since 1991. He has acted as a consultant world-wide for modeling language development, authored a book on Domain-Specific Modeling, and written over 100 articles for various software development magazines and conferences. Juha-Pekka is a regular speaker at industry events and conferences — with keynotes at Code Generation Conference and ACM/IEEE Conference on Model Driven Engineering Languages and Systems, and panels at Architecture & Design World, OOPSLA/SPLASH, OOP and SPLC.

9:40 - 10:00 Session 1: Empirical studies on Software Modeling Adoption Chair: Silvia Abrahao

10:00 - 10:30 Coffee Break

Session 2: Models and Human Factors (10:30 - 11:30)

Chair: Arnaud Blouin

11:30 - 12:00 Working session & Wrap Up Chair: Philippe Palanque

Human Factors and Selling Modeling

To model or not to model? This question is often answered subjectively, and in teams, the answer is reached through a decision-making process that can be challenging to follow. This talk addresses selling modeling to users in industrial settings. These users include not only those who create models but also those who update, read, verify, validate, or otherwise utilize the results produced from models. They all tend to play a role in the decision making.

In this talk, I will share personal experiences as well as more objective data we have collected from industry cases spanning three decades: What makes starting modeling easy, what prevents it, and what can even halt modeling efforts that are already applied. For each of these decisions, there can be valid reasons, but there appears to be less guidance for decision-making in a form that the industry is prepared to apply. The talk will review industry practices and identify factors that often influence decisions to model or not to model. These insights can potentially assist companies and their teams while also providing some direction for empirical research and applied research methods.

How to submit

The official call for paper is here: CFP

Papers should be submitted in PDF format through EasyChair https://easychair.org/my/conference?conf=hufamo2023. We follow a double blind review process where authors will not be identified to reviewers and reviewers will not be identified to authors. Authors do not have to suppress references to their previous work, but should refer to it in the third person.

Authors must make it clear in the abstract if the paper contains an empirical study, a proposal or is a position paper, and which of the topics listed above are covered. If a paper represents work that is not yet fully validated, the paper title must have one of the phrases ‘Proposal’, ‘Preliminary results’, ‘Work in progress’ or ‘Position paper’.

Full papers must not exceed 10 pages, including references, appendices, and figures, while Position papers must not exceed 5 pages.

The following are some guidelines for particular types of content:

Accepted submissions will be discussed in the workshop. We particularly encourage researchers that need to design a study but lack experience in this field to come forward and present study designs so these may be discussed and improved, leading to better quality research.

Submissions must adhere to the IEEE formatting instructions. Full papers must be no more than 10 pages in length, including references, appendices, and figures, while Position papers must have a maximum of 5 pages.

Submissions that do not adhere to these limits or that violate the formatting guidelines will be desk-rejected without review. Accepted papers will be published in the MODELS conference companion proceedings published by IEEE. Please contact the workshop organizers if you have any questions.

Evaluation Criteria

Papers will be evaluated mainly from their practical take-away and the potential impact of the findings. Each submission will be reviewed in terms of the following criteria: 1) Innovation: advancing the state-of-practice; 2) Value: whether the problem is worth exploring; 3) Impact: the potential for disruption of current practice; 4) Soundness: the validity of the methodology, evaluations and the rationale; 5) Quality: the overall quality of the paper’s writing.

Important Dates

- Paper submission deadline: July 17, 2023

Dissemination

Accepted papers will be published in the MODELS conference companion proceedings published by IEEE.

Authors are encouraged to provide supplementary data of their respective research (e.g., raw data, transcripts, video footage of study sessions, R scripts), to be made permanently publicly available in the workshop’s repository, built on ZENODO. Although providing such extra material will not be mandatory, it is strongly encouraged, as a good practice in empirical studies.

Workshop Co-Chairs

Program Committee