Mastering Mind and Movement. ACM UMAP 2024 Tutorial on Modeling Intelligent Psychomotor Systems (M3@ACM UMAP 2024)-Reference-Cited by-同舟云学术

Mastering Mind and Movement. ACM UMAP 2024 Tutorial on Modeling Intelligent Psychomotor Systems (M3@ACM UMAP 2024)

Published:2024-06-27 Issue: Volume: Page:9-12
ISSN:
Container-title:Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
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Author:

Portaz Miguel¹^ORCID,Garcia Pablo¹^ORCID,Majumdar Rwitajit²^ORCID,Santos Olga C.¹^ORCID

Affiliation:

1. Artificial Intelligence Department, UNED, Spain

2. Research and Educational Institute for Semiconductors and Informatics, Kumamoto University, Japan

Funder

HumanAID

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3631700.3658534

Reference10 articles.

1. Alberto Casas-Ortiz Jon Echeverria and Olga C Santos. 2023. Chapter 18: Intelligent systems for psychomotor learning: a systematic review and two cases of study. Handbook of Artificial Intelligence in Education; du Boulay B. Mitrovic A. Yacef K. Eds. Edward Edgar Publishing: Northampton MA USA (2023) 390–421. https://doi.org/10.4337/9781800375413.00030

2. MyShikko

3. Rwitajit Majumdar, Hiroaki Ogata, Jayakrishnan M. Warriem, and Prajish Prasad. 2023. LA-ReflecT: A Platform for Data-informed Reflections in Micro-learning tasks. In Proceedings of ICCE 2022 Embodied Cognition Workshop. 481–485. https://icce2022.apsce.net/uploads/P2_W07_065.pdf

4. LA-ReflecT: A Platform Facilitating Micro-learning and Its Multimodal Learning Analytics

5. Miguel Portaz Alberto Corbi Alberto Casas-Ortiz and Olga C Santos. 2024. Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills. User Modeling and User-Adapted Interaction. Forthcoming.