An automatic sustained attention prediction (ASAP) method for infants and toddlers using wearable device signals
| dc.contributor.author | Zhang, Yisi | |
| dc.contributor.author | Martinez-Cedillo, A. Priscilla | |
| dc.contributor.author | Mason, Harry T. | |
| dc.contributor.author | Vuong, Quoc C. | |
| dc.contributor.author | Garcia-de-Soria, M. Carmen | |
| dc.contributor.author | Mullineaux, David | |
| dc.contributor.author | Knight, Marina I. | |
| dc.contributor.author | Geangu, Elena | |
| dc.contributor.institution | University of Aberdeen.Psychology | en |
| dc.date.accessioned | 2025-05-12T10:11:19Z | |
| dc.date.available | 2025-05-12T10:11:19Z | |
| dc.date.issued | 2025-04-17 | |
| dc.description | We would like to express our gratitude to all families who dedicated their time to participate in this research. Without their continued interest in our research and desire to help, these findings would have not been possible. The authors would also like to thank Brigita Ceponyte, Emily Clayton, Nicoleta Gavrila, Aastha Mishra, Lauren Charters, Fiona Frame, and Laura Tissiman for their invaluable support and help throughout the project. | en |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 17 | |
| dc.format.extent | 6687847 | |
| dc.identifier | 303750400 | |
| dc.identifier | 48f0ffdd-44ff-4bf1-a33c-afbd96a758f4 | |
| dc.identifier | 105003120084 | |
| dc.identifier.citation | Zhang, Y, Martinez-Cedillo, A P, Mason, H T, Vuong, Q C, Garcia-de-Soria, M C, Mullineaux, D, Knight, M I & Geangu, E 2025, 'An automatic sustained attention prediction (ASAP) method for infants and toddlers using wearable device signals', Scientific Reports, vol. 15, 13298. https://doi.org/10.1038/s41598-025-96794-x | en |
| dc.identifier.doi | 10.1038/s41598-025-96794-x | |
| dc.identifier.issn | 2045-2322 | |
| dc.identifier.other | RIS: urn:90F18E42D9AB7595A43866C387C72353 | |
| dc.identifier.other | RIS: Zhang2025 | |
| dc.identifier.other | ORCID: /0009-0005-1816-1974/work/183909254 | |
| dc.identifier.uri | https://hdl.handle.net/2164/25429 | |
| dc.identifier.vol | 15 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Scientific Reports | en |
| dc.subject | sustained attention | en |
| dc.subject | Infant development | en |
| dc.subject | computational model | en |
| dc.subject | Electrocardiogram | en |
| dc.subject | Wearable sensors | en |
| dc.subject | naturalistic studies | en |
| dc.subject | visual salience | en |
| dc.subject | BF Psychology | en |
| dc.subject | Supplementary Data | en |
| dc.subject | DAS | en |
| dc.subject | Link | en |
| dc.subject.lcc | BF | en |
| dc.title | An automatic sustained attention prediction (ASAP) method for infants and toddlers using wearable device signals | en |
| dc.type | Journal article | en |
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