Analysis of research strategies to determine individual color preference: N-alternative forced choice, rank-order, rating and paired comparison

Luwen Yu, Yun Chen, Guobin Xia*, Stephen Westland, Zhenghong Li, Vien Cheung

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Exploring an efficient research method for understanding color preference is important to researchers and designers. This work compares four experimental methods for individual color preference research (N-alternative forced choice, rank-order, rating and paired comparison). Three psychophysical experiments were carried out with 338 participants. Participants were presented with six color patches (red, orange, yellow, green, blue and purple) arranged in a random order. This work suggested orange is the strongest preferred color and green is the weakest preferred using three individual color preference experimental methods with six hues. The Monte Carlo Analysis method further com- pares the result performance for four methods, which suggests the rating, paired comparison and rank-order methods are more stable than the N-alter- native forced choice method when only a small number of participants take part in the experiment. For studies involving small numbers of participants (even less than 6), the rating, rank-order and pair comparison methods should be preferred.
Original languageEnglish
JournalColor Research and Application
Early online date26 Dec 2022
DOIs
Publication statusE-pub ahead of print - 26 Dec 2022

Keywords

  • Monte Carlo analysis
  • color preferences
  • experimental method
  • research strategy

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Chemistry(all)
  • Chemical Engineering(all)

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