Stepping Back to Progress Forwards: Setting Standards for Meta-Evaluation of Computational Creativity

author: Anna Jordanous, King's College London
published: Aug. 8, 2014,   recorded: June 2014,   views: 1739
Categories

Slides

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.
  Delicious Bibliography

Description

There has been increasing attention paid to the question of how to evaluate the creativity of computational creativity systems. A number of different evaluation methods, strategies and approaches have been proposed recently, causing a shift in focus: which methodology should be used to evaluate creative systems? What are the pros and cons of using each method? In short: how can we evaluate the different creativity evaluation methodologies? To answer this question, five meta-evaluation criteria have been devised from cross-disciplinary research into good evaluative practice. These five criteria are: correctness; usefulness; faithfulness as a model of creativity; usability of the methodology; generality. In this paper, the criteria are used to compare and contrast the performance of five various evaluation methods. Together, these meta- evaluation criteria help us explore the advantages and disadvantages of each creativity evaluation methodology, helping us develop the tools we have available to us as computational creativity researchers.

See Also:

Download slides icon Download slides: iccc2014_jordanous_stepping_back_01.pdf (7.6 MB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: