Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception

Iqbal, Azlan; Heijden, Hans van der; Guid, Matej; Makhmali, A.

doi:10.1109/tciaig.2012.2192933

Cited by 16 publications

(13 citation statements)

References 7 publications

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“…It is not uncommon for human judges to also be in disagreement with each other about the merits of a composition. Even so, their assessments do result in what we call 'depth appeal' (see Appendix A of [4] for an example) which is sort of a deep appreciation of the theme and variations of play that relatively few with domain competence (e.g. a club player or casual composer) could understand properly.…”

Section: Discussionmentioning

confidence: 99%

“…the inclusion of some randomness. All the necessary information regarding its logic, workings and validation can be obtained by the interested reader in [4].…”

Section: Methodsmentioning

confidence: 99%

“…The aesthetics model incorporated into CHESTHETICA assesses primarily 'visual appeal' (see Appendix A of [4] for examples) which is what the majority of chess players and composers with sufficient (not necessarily expert) domain knowledge understand by 'beauty' in the game. Essentially, this includes, for example, tactical maneuvers like sacrifices or combinations that achieve a clear objective such as mate.…”

Section: Methodsmentioning

confidence: 99%

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How Relevant Are Chess Composition Conventions?

Iqbal

2014

Communications in Computer and Information Science

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Composition conventions are guidelines used by human composers in composing chess problems. They are particularly significant in composition tournaments. Examples include, not having any 'check' in the first move of the solution and not 'dressing up' the board with unnecessary pieces. Conventions are often associated or even directly conflated with the overall aesthetics or beauty of a composition. Using an existing experimentally-validated computational aesthetics model for three-move mate problems, we analyzed sets of computer-generated compositions adhering to at least 2, 3 and 4 comparable conventions to test if simply conforming to more conventions had a positive effect on their aesthetics, as is generally believed by human composers. We found slight but statistically significant evidence that it does, but only to a point. We also analyzed human judge scores of 145 three-move mate problems composed by humans to see if they had any positive correlation with the computational aesthetic scores of those problems. We found that they did not. These seemingly conflicting findings suggest two main things. First, the right amount of adherence to composition conventions in a composition has a positive effect on its perceived aesthetics. Second, human judges either do not look at the same conventions related to aesthetics in the model used or emphasize others that have less to do with beauty as perceived by the majority of players, even though they may mistakenly consider their judgements 'beautiful' in the traditional, non-esoteric sense. Human judges may also be relying significantly on personal tastes as we found no correlation between their individual scores either.

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Section: Discussionmentioning

confidence: 99%

“…the inclusion of some randomness. All the necessary information regarding its logic, workings and validation can be obtained by the interested reader in [4].…”

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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How Relevant Are Chess Composition Conventions?

Iqbal

2014

Communications in Computer and Information Science

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“…Different images can be distinguished by style, and they often follow different aesthetic rules. Therefore, the best learning approach should differ according to the given dataset [40,41]. The classic aesthetic database AVA, which contains over 250,000 images and a large amount of meta-data with aesthetic scores, has been used in many studies to produce modeling comparison and optimization [42].…”

Section: Multimedia Aesthetic Modeling Workmentioning

confidence: 99%

And the nominees are: Using design-awards datasets to build computational aesthetic evaluation model

Xing

Zhang

et al. 2020

PLoS ONE

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Aesthetic perception is a human instinct that is responsive to multimedia stimuli. Giving computers the ability to assess human sensory and perceptual experience of aesthetics is a well-recognized need for the intelligent design industry and multimedia intelligence study. In this work, we constructed a novel database for the aesthetic evaluation of design, using 2,918 images collected from the archives of two major design awards, and we also present a method of aesthetic evaluation that uses machine learning algorithms. Reviewers' ratings of the design works are set as the ground-truth annotations for the dataset. Furthermore, multiple image features are extracted and fused. The experimental results demonstrate the validity of the proposed approach. Primary screening using aesthetic computing can be an intelligent assistant for various design evaluations and can reduce misjudgment in art and design review due to visual aesthetic fatigue after a long period of viewing. The study of computational aesthetic evaluation can provide positive effect on the efficiency of design review, and it is of great significance to aesthetic recognition exploration and applications development.

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“…Similar to previous work on this topic [10] the computer program, Chesthetica, was used to automatically analyze the aesthetics in the game of chess. Chesthetica incorporates an experimentallyvalidated computational aesthetics model that is able to evaluate aesthetics in the game in a way that correlates positively and well with domain-competent human assessment [18]. This has its advantages over manual human expert assessment in terms of cost, reliability and consistency.…”

Section: The Computational Aesthetics Modelmentioning

confidence: 99%

A Computational Aesthetics Assessment of Chess Playing Quality Between the Genders

Iqbal¹,

Nagappan

2018

Proceedings of 2018 the 8th International Workshop on Computer Science and Engineering

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Aesthetics or beauty in chess is a quality appreciated by most players. However, there is scant research on the differences of aesthetic perception between the genders, especially given the lower participation of females in this domain. Using an experimentally-validated computational aesthetics model for chess, we evaluated a fair selection of winning chess move sequences taken from games played between women and men. Contrary to previous research that was not as thorough, we found no statistically significant difference in the aesthetic quality of those sequences between the groups. The results suggest that aesthetic ability, perception and appreciation in the game are likely not affected by gender. This also implies that training methods and promotion of the game to girls or young women have less, if any, basis for being any different from those that pertain to boys or men. Furthermore, the arguably absolute lack of participation of women in the sub-domain of chess problem compositionin which aesthetics plays an even more significant rolelikely has little, if anything, to do with innate capability unless otherwise demonstrated.

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Evaluating the Aesthetics of Endgame Studies: A Computational Model of Human Aesthetic Perception

Cited by 16 publications

References 7 publications

How Relevant Are Chess Composition Conventions?

How Relevant Are Chess Composition Conventions?

And the nominees are: Using design-awards datasets to build computational aesthetic evaluation model

A Computational Aesthetics Assessment of Chess Playing Quality Between the Genders

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