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IDEA challenge 2022 dataset: Prototypes from a design Hackathon.

Daniel Nygård Ege1, Mark Goudswaard2, James Gopsill2

  • 1Norwegian University of Science and Technology, Richard Birkelandsvei 2B, 7034 Trondheim, Norway.

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|April 9, 2024
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Summary
This summary is machine-generated.

The IDEA Challenge 2022 dataset offers insights into prototyping practices with 240 entries. This data aids in developing strategies and future research hypotheses for design and engineering professionals.

Keywords:
DesignDesign strategiesProduct developmentPrototyping

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Area of Science:

  • Design Research
  • Engineering Education
  • Prototyping Methodologies

Background:

  • Prototyping is crucial in design and engineering.
  • Understanding prototyping practices is essential for innovation.
  • Existing datasets can enhance research on design processes.

Purpose of the Study:

  • To introduce and describe the IDEA Challenge 2022 prototyping dataset.
  • To highlight the dataset's value for research on prototyping strategies.
  • To provide a foundation for future studies in design and engineering.

Main Methods:

  • Data collected via the Pro2booth online platform.
  • Dataset includes 240 prototype entries and 1049 connections.
  • Information captured on creators, purpose, timing, and methods.

Main Results:

  • The dataset provides comprehensive insights into prototyping practices.
  • It details the development process of prototypes and participating teams.
  • Offers practical knowledge for strategy development and hypothesis generation.

Conclusions:

  • The dataset is a valuable resource for design researchers, students, and professionals.
  • It enables comparative analyses, hypothesis verification, and trend exploration.
  • Potential to inform meta-analyses for a comprehensive understanding of prototyping.