A STATISTICAL ANALYSIS FOR THE CAR KEY FOB CROWDSOURCED DESIGN EVALUATION RESULTS BASED ON THE CDESIGN FRAMEWORK
Editor: Boujut, Jean-François ; Cascini, Gaetano ; Ahmed-Kristensen, Saeema ; Georgiev, Georgi V. ; Iivari, Netta
Author: Wu, Hao (1); Corney, Jonathan (2); Gan, Jing (1)
Institution: 1: Department of Industrial Design, School of Mechanical Engineering, Sichuan University, Chengdu, China; 2: Department of Design, Manufacture and Engineering Management, University of Strathclyde, Glasgow, United Kingdom
DOI number: https://doi.org/10.35199/ICDC.2020.40
The “power of the crowd” has been repeatedly demonstrated and various Internet platforms have been used to applied collaborative intelligence to areas that range from open innovation to conceptual design. However, crowdsourcing applications in the fields of design research and creative innovation have been much slower to emerge. In this paper, the statistical analysis methods (i.e., normal probability plots) were used to validate the crowdsourced design evaluation results in the authors’ previous crowdsourced design case study (i.e., car key fob design task). The discussion about the ranking distributions and results suggested that standard distribution trendlines and r2 results proved the effects of the ranking evaluation method used in the case study. The distribution determined that the evaluation process and results matched a normal distribution. As the contribution to knowledge, this paper applied the statistical analysis method to measure and approve the crowdsourced design evaluation method and its results.