Evaluating Computational Creativity: An Interdisciplinary Tutorial

被引：24

作者：

Lamb, Carolyn ^{[1
]}

Brown, Daniel G. ^{[1
]}

Clarke, Charles L. A. ^{[1
]}

机构：

[1] Univ Waterloo, David Cheriton Sch Comp Sci, 200 Univ Ave, Waterloo, ON N2L 3G1, Canada

来源：

ACM COMPUTING SURVEYS | 2018年 / 51卷 / 02期

关键词：

Human factors; Measurement; Theory; Computational aesthetics; computational creativity; digital art; BLIND VARIATION; AESTHETIC APPRECIATION; EMOTIONAL RESPONSES; SELECTIVE RETENTION; MODEL; ART; MUSIC; JUDGMENTS; SYSTEMS; DOMAIN;

D O I：

10.1145/3167476

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This article is a tutorial for researchers who are designing software to perform a creative task and want to evaluate their system using interdisciplinary theories of creativity. Researchers who study human creativity have a great deal to offer computational creativity. We summarize perspectives from psychology, philosophy, cognitive science, and computer science as to how creativity can be measured both in humans and in computers. We survey how these perspectives have been used in computational creativity research and make recommendations for how they should be used.

引用

页数：34

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