Design Flow 2.0, assessing experience during ideation with increased granularity: A proposed method

Published Date
November 2016, Vol.47:23–46, doi:10.1016/j.destud.2016.08.002

Author 

Stéphane Safin

Design Research Laboratory Hybridlab, University of Montreal, J.A. Bombardier Building (Room 4027), 5155 Decelles Av., Montreal, Quebec H3T 2B1, Canada

Laboratory Paragraphe EA 349 – Team C3U, University Paris 8, 2 rue de la Liberté, 93526 Saint-Denis, France

Tomás Dorta ^,

Davide Pierini

Gôkçe Kinayoglu

Annemarie Lesage

Design Research Laboratory Hybridlab, University of Montreal, J.A. Bombardier Building (Room 4027), 5155 Decelles Av., Montreal, Quebec H3T 2B1, Canada

Available online 6 September 2016. 

Highlights

• New method to assess the designers' experience during ideation.
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  Auto-confrontation interview instrumented by a device and original software.
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  Collect data about perceived challenge and skills fast and reliable.
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  Ability to analyse the activity as a whole, not just selected excerpts.
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  More granularity in the assessment, allowing comparing different activities.

This paper presents a new method to measure designers' experience during ideation, by using the technique of self-observation instrumented with a device and an original software. Based on the previous concept of Design Flow and the experience fluctuation model, the proposed procedure asks participants to rate their perceived challenge and skills at each moment of their ideation session while watching the video recording. The method aims at increasing granularity of Design Flow and reducing time of interviews, while retaining the ability to analyse the ideation activity as a whole, not just selected excerpts. After performing a validation test confirming its effectiveness, we conclude that this method is a fast and practical way to obtain continuous quantitative data about designers' experience that can be analysed and triangulated with other sources of data (e.g. verbal analysis).

Keywords

design research

design flow

psychology of design

evaluation

research methods

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  Corresponding author: Tomás Dorta
  
  

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http://www.sciencedirect.com/science/article/pii/S0142694X1630045X