Franks, Billy Joe http://orcid.org/0000-0002-6031-7785
Dinkelmann, Benjamin http://orcid.org/0000-0003-0166-8099
Kloft, Marius http://orcid.org/0000-0001-6829-3725
Fellenz, Sophie http://orcid.org/0000-0002-5385-3926
Chapter History
First Online: 17 September 2023
Ethical Implications
: This work focuses on applications in the entertainment industry. Specifically, the focus is improving the entertainment achieved when playing StepMania, a video game involving physical and mental exertion. The prediction of difficulty is closely related to reducing the churn in games, that is, the rate at which players stop playing a game for various reasons. While not the focus of this work, this does mean there is a chance that this work can be used to make rhythm-based video games more addictive.Beyond the user experiment performed in Table InternalRef removed, this work does not involve the use of personal data. For Table InternalRef removed, we merely collected for pairs of songs played by a particular player which of the two was more difficult. This data is entirely anonymous, and for each rated pair, it is no longer possible to determine which player was the participant rating the pair.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.