Third International Workshop on
Human Factors in Modeling (HuFaMo’17)

A MODELS'17 workshop

September 2017, Austin, Texas

HuFaMo logo


Modeling is a genuinely human enterprise, so many of the questions related to modeling can only be answered by empirical studies of human factors. The HuFaMo workshop series is the venue for early stage empirical research involving human factors in modeling. Our goal is to improve the state of the science and professionalism in empirical research in the Model Based Engineering community. Typical examples of such questions might consider the usability of a certain approach such as a method or language, or the emotional states or personal judgements of modelers.

We invite submissions regarding empirical studies of the following aspects.

  • emotion and preference of users in the face of modeling related tools and activities
  • stress, load, and performance involving modeling activities and artifacts
  • communicative and cognitive strategies and styles connected to modeling activities
  • training and testing of modeling, modeling tools, and related practices
  • capabilities and competencies
  • team and group behavior, including behavior across (social) media

Other topics that fit into the general frame of this workshop are also welcome.

Submission types

We solicit four types of submissions, each with their specific quality and review criteria.

  1. Empirical Study of human factors in modeling, including replication studies and negative results. We strongly encourage authors to submit raw data and analysis scripts.
  2. Study Designs investigating human factors in modeling. These contributions will be evaluated based on the quality of the study design alone, i.e., whether the reviewers deem them promising to obtain meaningful, valid, and interesting results. No actual study results are expected.
  3. Empirical Theory, i.e., papers that contribute to or develop a theory of some aspect of a human factor relevant in modeling. No empirical validation is required, but a solid analysis of the existing work from all relevant fields (including e.g., psychology, sociology, philosophy, and more, as appropriate).
  4. Empirical Activity is a proposal of a trial to be carried out as part of the HuFaMo workshop, with the workshop participants as study participants. Papers should describe a study design in detail, and a justification of why it should be run at this particular venue. We will select max. two (2) such activities, and they will have the same amount of time as other presentations. We expect results to be published in the aftermath.

All of these may be submitted either as a short paper (up to 4 pages) or a long paper (6-8 pages), depending on their ambition and quality as determined in the review process. All submissions should clearly state in their title, to which of the above category they belong. All accepted submissions will be discussed in the workshop. Publication requires at least one of the authors to be present at 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 conform to the MODELS'17 formatting guidelines.

All submissions must be uploaded through EasyChair.

Results dissemination

  • All workshop papers will be published in a dedicated CEUR-WS volume.
  • We strongly encourage authors to publicly archive additional materials like raw data or analysis scripts on Zenodo before submitting.
  • As in the previous year, we are planning to publish the best papers of the workshop in a Special Issue of a high-impact journal.

Important dates

  • Papers submission deadline: July 7, 2017 Extended to July 14, 2017
  • Authors notification: July 28, 2017 --> August 12, 2017
  • Workshop date: September 17-19, 2017


  • TBD!
  • Program of HuFaMo'16 can be found here


Program committee

  • Regina Bernhaupt, University Paul Sabatier Toulouse, France
  • Adrián Fernández, Wallapop, Spain
  • Miguel Goulão, Universidade Nova de Lisboa, Portugal
  • John Grundy, Deakin University, Australia
  • Emilio Insfran, Universitat Politècnica de València, Spain
  • Xavier Le Pallec, Université Lille, France
  • Richard Paige, University of York, UK
  • Stefan Sauer, University of Paderborn, Germany
  • Bran Selic, Malina Software Corp., Canada
  • David Socha, University of Washington Bothell, USA
  • Juha-Pekka Tolvannen, MetaCase, Finland
  • Jean Vanderdonckt, Université catholoque de Louvain, Belgium