Abstract
| Original language | English |
|---|---|
| Title of host publication | Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Proceedings |
| Editors | María Luz Castro Pena, Anikó Ekárt, Antonios Liapis |
| Publisher | Springer |
| Chapter | 10 |
| Pages | 142-155 |
| Number of pages | 14 |
| Volume | 11453 |
| ISBN (Electronic) | 978-3-030-16667-0 |
| ISBN (Print) | 978-3-030-16666-3 |
| DOIs | |
| Publication status | Published - 27 Mar 2019 |
| Event | International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) - Leipzig, Germany Duration: 24 Apr 2019 → 26 Apr 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11453 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | International Conference on Computational Intelligence in Music, Sound, Art and Design (Part of EvoStar) |
|---|---|
| Country | Germany |
| City | Leipzig |
| Period | 24/04/19 → 26/04/19 |
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Bibliographical note
© Springer Nature B.V. 2019. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-16667-0_10Keywords
- Interactive Evolutionary Computation
- User fatigue
- Virtual Reality
Cite this
}
Tired of Choosing? Just Add Structure and Virtual Reality. / Easton, Edward; Bernardet, Ulysses; Ekart, Aniko.
Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Proceedings. ed. / María Luz Castro Pena; Anikó Ekárt; Antonios Liapis. Vol. 11453 Springer, 2019. p. 142-155 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11453 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Tired of Choosing? Just Add Structure and Virtual Reality
AU - Easton, Edward
AU - Bernardet, Ulysses
AU - Ekart, Aniko
N1 - © Springer Nature B.V. 2019. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-030-16667-0_10
PY - 2019/3/27
Y1 - 2019/3/27
N2 - Interactive Evolutionary Computation (IEC) systems often suffer from users only performing a small number of generations, a phenomenon known as user fatigue. This is one of the main hindrances to these systems generating complex and aesthetically pleasing pieces of art. This paper presents two novel approaches to addressing the issue by improving user engagement, firstly through using Virtual Environments and secondly improving the predictability of the generated images using a well-defined structure and giving the user more control. To establish their efficacy, the concepts are applied to a series of prototype systems. Our results show that the approaches are effective to some degree. We propose alterations to further improve their implementation in future systems.
AB - Interactive Evolutionary Computation (IEC) systems often suffer from users only performing a small number of generations, a phenomenon known as user fatigue. This is one of the main hindrances to these systems generating complex and aesthetically pleasing pieces of art. This paper presents two novel approaches to addressing the issue by improving user engagement, firstly through using Virtual Environments and secondly improving the predictability of the generated images using a well-defined structure and giving the user more control. To establish their efficacy, the concepts are applied to a series of prototype systems. Our results show that the approaches are effective to some degree. We propose alterations to further improve their implementation in future systems.
KW - Interactive Evolutionary Computation
KW - User fatigue
KW - Virtual Reality
UR - http://link.springer.com/10.1007/978-3-030-16667-0_10
UR - http://www.scopus.com/inward/record.url?scp=85064891133&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-16667-0_10
DO - 10.1007/978-3-030-16667-0_10
M3 - Conference contribution
SN - 978-3-030-16666-3
VL - 11453
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 142
EP - 155
BT - Computational Intelligence in Music, Sound, Art and Design - 8th International Conference, EvoMUSART 2019, Held as Part of EvoStar 2019, Proceedings
A2 - Castro Pena, María Luz
A2 - Ekárt, Anikó
A2 - Liapis, Antonios
PB - Springer
ER -