Publicaties
2024
Wetenschappelijke publicaties
van der Klis, A. (2024). Caregiver-infant interactions and child vocabulary: A large-scale, longitudinal study of dyadic and multimodal behaviours. [Doctoral thesis 1 (Research UU / Graduation UU), Universiteit Utrecht]. LOT. https://doi.org/10.33540/2121
2023
Wetenschappelijke publicaties
van der Klis, A., Adriaans, F., Han, M., & Kager, R. (2023). Using Open-Source Automatic Speech Recognition Tools for the Annotation of Dutch Infant-Directed Speech. Multimodal Technologies and Interaction, 7(7), Article 68. https://doi.org/10.3390/mti7070068
van der Klis, A., van Lieburg, R., Cheng, L. L.-S., & Levelt, C. C. (2023). Pauses matter: Rule-learning in Children. Language Development Research, 3(1), 44-64. https://doi.org/10.34842/2023.0466
https://dspace.library.uu.nl/bitstream/handle/1874/434059/ldr-466-klis.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/434059/ldr-466-klis.pdf?sequence=1
van der Klis, A., Adriaans, F., & Kager, R. (2023). Infants’ behaviours elicit different verbal, nonverbal, and multimodal responses from caregivers during early play. Infant Behavior and Development, 71, Article 101828. https://doi.org/10.1016/j.infbeh.2023.101828
2022
Wetenschappelijke publicaties
van der Klis, A., Kaya, H., Najafian, M., & Safavi, S. (2022). 3rd ICMI Workshop on Bridging Social Sciences and AI for Understanding Child Behaviour. In ICMI '22: International Conference on Multimodal Interaction (pp. 807-809). Association for Computing Machinery (ACM). https://doi.org/10.1145/3536221.3564031
https://dspace.library.uu.nl/bitstream/handle/1874/426821/3536221.3564031.pdf?sequence=1
https://dspace.library.uu.nl/bitstream/handle/1874/426821/3536221.3564031.pdf?sequence=1
2020
Wetenschappelijke publicaties
van der Klis, A., Adriaans, F. W., Han, M., & Kager, R. W. J. (2020). Automatic Recognition of Target Words in Infant-Directed Speech. In ICMI '20 Companion: Companion Publication of the 2020 International Conference on Multimodal Interaction (pp. 522). Association for Computing Machinery. https://doi.org/10.1145/3395035.3425184