Title

Quantifying Aesthetic Preference Through Statistics Applied to an Agent-Based Shape Grammar Implementation

Abstract

In the development of a new product, a large amount of consideration is given to the outward form. Because this is the first part that a consumer comes into contact with, the impression it gives and what it communicates can determine all future interactions from purchase to disposal. Historically, designers must rely upon focus groups, customer feedback, experience, and intuition or "gut" to design products that the public will find attractive. A shape grammar offers the potential to quantify what consumers prefer aesthetically. The shape grammar can be implemented in an agent-based program that allows a person's preferences to be tracked, quantified, and then summarized in a utility function based on statistical groupings of elements. The agent-based program can implement the shape grammar to generate new product concepts that match the derived utility function. This utility function can also be employed by designers to ensure that the concepts they are developing target consumer preferences.

Department(s)

Mechanical and Aerospace Engineering

Comments

Thesis/Dissertation

Document Type

Book

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2007 Carnegie Mellon University, All rights reserved.

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