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2023 Fiscal Year Final Research Report

Computationally analyzing the hierarchical complexity of infants' social coordination on multi scales in natural daily life to investigate infants' cognitive development

Research Project

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Project/Area Number 22K20314
Research Category

Grant-in-Aid for Research Activity Start-up

Allocation TypeMulti-year Fund
Review Section 0110:Psychology and related fields
Research InstitutionThe University of Tokyo

Principal Investigator

LI JIARUI  東京大学, ニューロインテリジェンス国際研究機構, 特任研究員 (10966807)

Project Period (FY) 2022-08-31 – 2024-03-31
Keywordssocial interaction / multi-modality / multi-time scale
Outline of Final Research Achievements

This project aims to quantify the social cues of multi-modality on multi-scales in the natural interaction between infants and their caregivers. To achieve this target, a multi-time scale framework was proposed for the vocal-prosodic alignment, which was used to analyze the natural day-long audio recordings. The results reveal that infants' and mothers' vocal coordination patterns are different on each timescale with cultural differences. Furthermore, the alignment analysis was extended to the vocal-emotional level. Results reveal that 9-month-old English-spoken infants and their caregivers also align on the emotional level. Also, the interaction was investigated on the cardinal modality, which reveals that the circadian rhythms from both parties are closely related to the mental states of the mothers. These findings stress that 1) Infants received varied auditory cues from the environment on multi-time scales. 2) The alignment happened on multi-levels 3) and across multi-modality.

Free Research Field

Social psychology

Academic Significance and Societal Importance of the Research Achievements

This project uncovered insights into how babies learn social interactions. It offers fresh perspectives on improving AI technologies by taking into account human factors, like training over different time scales. It also suggests principles for better caregiving in real-life situations.

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Published: 2025-01-30  

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