Aesthetics and Empowerment: Exploring AI-Driven Creativity
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 15192 LNCS, Page: 316-320
2025
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
AI-driven tools are increasingly used to augment human creativity, leading to new possibilities in arts and design. Researchers are actively seeking new ways to expand AI-driven creativity tools and exploring methods that combine AI with existing tools to empower creative processes, including empowerment in entertainment, health, education, and accessibility. This paper aims to investigate how AI transcends human limitations to inspire creativity and to uncover innovative approaches for leveraging AI to enhance creative processes while addressing potential risks. We anticipate stimulating discussions and collaborations on AI-driven creativity among researchers, practitioners, designers, artists, and industry professionals, with a specific focus on empowerment across various domains.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85210811169&origin=inward; http://dx.doi.org/10.1007/978-3-031-74353-5_26; https://link.springer.com/10.1007/978-3-031-74353-5_26; https://dx.doi.org/10.1007/978-3-031-74353-5_26; https://link.springer.com/chapter/10.1007/978-3-031-74353-5_26
Springer Science and Business Media LLC
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know