How Suitable Is Your Naturalistic Dataset for Theory-based User Modeling?
Year of publication
2022
Authors
Putkonen, Aini; Nioche, Aurélien; Tanskanen, Ville; Klami, Arto; Oulasvirta, Antti
Organizations and authors
Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Journal
UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Parent publication name
UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
Publisher
Pages
179-190
ISBN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
Yes
Open access of publication channel
Partially open publication channel
Self-archived
Yes
Article processing fee (EUR)
1060
Year of payment for the open publication fee
2022
Other information
Fields of science
Computer and information sciences
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1145/3503252.3531322
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes