Research Paper: Modular Textile Processing Machines
Design Research, Innovation, Modularity, Textile processing, Prototyping Methods, User-centered design, Co-creation.
2024
How do different low fidelity prototyping methods compare to each other in the early phase of ideation (when designing for modular textile processing machines)?
Objective:
This study investigates different low-fidelity prototyping methods—sketching, LEGO Duplo, and prototyping over a naked sewing machine—to determine their effectiveness in the early ideation phase of designing modular textile processing machines.
Methodology:
32 participants with sewing machine experience engaged in 9-minute prototyping sessions for each method.
After each session, they rated the methods based on enjoyability, functionality visualization, appearance visualization, and ease of understanding.
Quantitative (statistical analysis) and qualitative (thematic analysis) approaches were used to compare the methods.
Key Findings:
Sketching was rated highest for enjoyability, creative freedom, and ease of visualizing appearance, but lacked physical tangibility.
Prototyping on a naked sewing machine scored best for visualizing functionality and realism, though it was limited by fixed machine constraints.
LEGO Duplo encouraged modular thinking but was seen as less intuitive and restrictive due to block limitations.
Some participants suggested combining methods (e.g., sketching + naked machine) for a more balanced approach.
Analysis
Implications for Designers:
Early-stage ideation benefits from sketching due to its speed and flexibility.
Physical prototyping (naked machine) helps test functionality but may require supplementary methods for detail refinement.
LEGO Duplo is useful for modular concept exploration but may need additional explanation for clarity.
Industry Relevance:
Feedback from sewing machine manufacturers indicates potential business applications, as the study’s insights could inspire innovative, user-centered modular designs.
Limitations & Future Work:
No statistical significance testing was conducted.
Time constraints limited deeper analysis of participant-generated concepts.
Future research could explore hybrid prototyping techniques and industry implementation.
