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  Using an Egocentric Human Simulation Paradigm to quantify referential and semantic ambiguity in early word learning

Caplan, S., Peng, M. Z., Zhang, Y., & Yu, C. (2023). Using an Egocentric Human Simulation Paradigm to quantify referential and semantic ambiguity in early word learning. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023) (pp. 1043-1049).

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Caplan_etal_2023_CogSci.pdf (Publisher version), 5MB
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Caplan_etal_2023_CogSci.pdf
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Copyright Date:
2023
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©2023 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY).

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 Creators:
Caplan, Spencer1, Author
Peng, Misty Z.1, Author
Zhang, Yayun2, Author           
Yu, Chen1, Author
Affiliations:
1University of Texas at Austin, Austin, TX, USA, ou_persistent22              
2Language Development Department, MPI for Psycholinguistics, Max Planck Society, ou_2340691              

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 Abstract: In order to understand early word learning we need to better understand and quantify properties of the input that young children receive. We extended the human simulation paradigm (HSP) using egocentric videos taken from infant head-mounted cameras. The videos were further annotated with gaze information indicating in-the-moment visual attention from the infant. Our new HSP prompted participants for two types of responses, thus differentiating referential from semantic ambiguity in the learning input. Consistent with findings on visual attention in word learning, we find a strongly bimodal distribution over HSP accuracy. Even in this open-ended task, most videos only lead to a small handful of common responses. What's more, referential ambiguity was the key bottleneck to performance: participants can nearly always recover the exact word that was said if they identify the correct referent. Finally, analysis shows that adult learners relied on particular, multimodal behavioral cues to infer those target referents.

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Language(s): eng - English
 Dates: 2023
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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Title: the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023)
Place of Event: Sydney, Australia
Start-/End Date: 2023-07-26 - 2023-07-29

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Title: Proceedings of the 45th Annual Meeting of the Cognitive Science Society (CogSci 2023)
Source Genre: Proceedings
 Creator(s):
Goldwater, M.1, Editor
Anggoro, F. K., Editor
Hayes, B. K., Editor
Ong, D. C., Editor
Affiliations:
1 M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong, ou_persistent22            
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1043 - 1049 Identifier: -