Zhang, YisiMartinez-Cedillo, A. PriscillaMason, Harry T.Vuong, Quoc C.Garcia-de-Soria, M. CarmenMullineaux, DavidKnight, Marina I.Geangu, Elena2025-05-122025-05-122025-04-17Zhang, 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-x2045-2322RIS: urn:90F18E42D9AB7595A43866C387C72353RIS: Zhang2025ORCID: /0009-0005-1816-1974/work/183909254https://hdl.handle.net/2164/25429We 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.176687847engsustained attentionInfant developmentcomputational modelElectrocardiogramWearable sensorsnaturalistic studiesvisual salienceBF PsychologySupplementary DataDASLinkBFAn automatic sustained attention prediction (ASAP) method for infants and toddlers using wearable device signalsJournal article10.1038/s41598-025-96794-x15