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/Series
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
Keywords
[object Object],[object Object],[object Object],[object Object],[object Object]
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