A Comparative Study on the Impact of AIGC and Traditional Inspiration Sources on the Design Process of Designers

This research delves into the impact of artificial intelligence generated content (AIGC) as a source of inspiration on the ideation process of designers. The study aims to juxtapose the efficacy of designers employing AIGC tools, exemplified by Midjourney, against traditional search engines such as Pinterest during the ideation phase, emphasizing the stages of keyword definition, inspiration search, and inspiration selection. Utilizing think-aloud protocol analysis and semi-structured interviews, the research scrutinized the ideation processes of 12 master's students in design under various task constraints. The outcomes indicated that designers employing AIGC tools demonstrated heightened prudence during the keyword definition phase, and their search depth and selection strategies varied significantly. AIGC tools were found to be more effective in managing associative creative searches, yielding unique design solutions. The study demonstrates that AIGC, as an emerging source of inspiration, possesses certain advantages and potential, showcasing its efficacy as an inspirational source in the early stages of the design process. Additionally, the study offers recommendations for designers on integrating both AIGC and traditional inspiration sources in their creative endeavors.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006116
Primary Topic
Cultural and Historical Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comparative Study on the Impact of AIGC and Traditional Inspiration Sources on the Design Process of Designers

Rui Ma, Yi Xiao, Ying Yang
AHFE international
Cultural and Historical Studies
article

A Comparative Study on the Impact of AIGC and Traditional Inspiration Sources on the Design Process of Designers

Rui Ma, Yi Xiao, Ying Yang
article en

Abstract

This research delves into the impact of artificial intelligence generated content (AIGC) as a source of inspiration on the ideation process of designers. The study aims to juxtapose the efficacy of designers employing AIGC tools, exemplified by Midjourney, against traditional search engines such as Pinterest during the ideation phase, emphasizing the stages of keyword definition, inspiration search, and inspiration selection. Utilizing think-aloud protocol analysis and semi-structured interviews, the research scrutinized the ideation processes of 12 master's students in design under various task constraints. The outcomes indicated that designers employing AIGC tools demonstrated heightened prudence during the keyword definition phase, and their search depth and selection strategies varied significantly. AIGC tools were found to be more effective in managing associative creative searches, yielding unique design solutions. The study demonstrates that AIGC, as an emerging source of inspiration, possesses certain advantages and potential, showcasing its efficacy as an inspirational source in the early stages of the design process. Additionally, the study offers recommendations for designers on integrating both AIGC and traditional inspiration sources in their creative endeavors.

AHFE internationalVol. 166
Openalex Percentile: Top 85%
Cultural and Historical Studies
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