Guidelines for braindraw conduction: looking at braindraw under the lens of abduction and semiotics

ABSTRACT

Braindraw is a participatory technique in which participants collaboratively design the interface for a proposed solution. Conducting braindraw in different design situations is still a factor of difficulty for its use by human-computer interaction professionals in the software industry, as there is no set of basic guidelines to be followed. In this sense, this article presents a narrative literature review, a set of exploratory case studies to identify initial elements for braindraw conduction, and a case study to evaluate and improve the initial set of elements for braindraw conduction. We analyse the collected data using the thematic analysis method. This resulted in a set of guidelines for braindraw conduction.

KEYWORDS:

• Participatory design
• interaction design
• collaborative design
• semiotics
• abduction

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 cf. Rosa and Matos (2016) and Rosa et al. (2019, 2020).

2 Presentation Certificate for Ethical Appreciation number: #22418419.2.0000.5531.

3 cf. https://plato.stanford.edu/entries/peirce-semiotics/#ThoSig

4 In this article, we consider as a designer all the people responsible for software development.

5 https://dl.acm.org/

6 https://ieeexplore.ieee.org

7 ITI is a Portuguese innovation institute founded by the University of Madeira, Madeira Tecnopolo, Carnegie Mellon University, and the Associate Laboratory of Robotics and Engineering Systems (LARSyS) with industries and digital technology companies worldwide. https://iti.larsys.pt/

8 https://atlasti.com/

9 Data found through public consultation of authors' resumes on the Lattes Platform.

10 https://www.meforma.app/

11 Meu Horário UFBA - https://www.meuhorarioufba.com.br – is a system that helps UFBA students to set up their semester schedule.

Additional information

Funding

This work was supported by CAPES [#88881.189073/2018-01, #88882.453913/2019-01] and CNPq [Research Productivity Fellowship].