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The influence of aesthetic taste on product choice: does mode of evaluation impact decision making?

Published online by Cambridge University Press:  27 August 2025

Chukwuma M Asuzu*
Affiliation:
University of Toronto, Canada
Alison Olechowski
Affiliation:
University of Toronto, Canada

Abstract:

The study investigates the cognitive aspects of aesthetic taste, which is a subjective quality linked to individuals’ ability to make superior aesthetic judgments. It explores how evaluation modes during product choice decision-making relate to aesthetic taste. We defined taste through two dimensions: expertise (professional experience) and acumen (consumption experiences). By comparing research participants in a consumer study across these dimensions, we analyzed decision-making patterns using both quantitative and qualitative methods. Our results show that participants with low aesthetic taste (across both dimensions) express their product choice in terms of product attributes they dislike. We also find that the expression of personal preferences is associated with low aesthetic taste for the expertise dimension but is associated with high aesthetic taste for the acumen dimension.

Information

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2025
Figure 0

Figure 1. Joint and separate evaluation modes in product choice

Figure 1

Table 1. Demographic table of study participants

Figure 2

Figure 2. Image of the apartment shown in the experiment. Image rendered using Midjourney, a generative artificial intelligence tool

Figure 3

Figure 3. The two reading chair options presented to the participants. To confirm the study’s manipulation, one of the chair options (left) had the same brown hue as the apartment

Figure 4

Figure 4. Graph showing breakdown of joint evaluation-separate evaluation two-way coding for each participant group of 25 participants

Figure 5

Table 2. Qualitative open-coding results, showing number of participants and percent composition

Figure 6

Table 3. Representative quotes from each top-level code