eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction through AI-Mediated Content Consumption

要旨

As children increasingly consume media on devices, parents look for ways this usage can support learning and growth, especially in domains like social-emotional learning. We introduce eaSEL, a system that (a) integrates social-emotional learning (SEL) curricula into children’s video consumption by generating reflection activities and (b) facilitates parent-child discussions around digital media without requiring co-consumption of videos. We present a technical evaluation of our system’s ability to detect social-emotional moments within a transcript and to generate high-quality SEL-based activities for both children and parents. Through a user study with 𝑁 = 20 parent-child dyads, we find that after completing an eaSEL activity, children reflect more on the emotional content of videos. Furthermore, parents find that the tool promotes meaningful active engagement and could scaffold deeper conversations around content. Our work paves directions in how AI can support children’s social-emotional reflection of media and family connections in the digital age.

受賞
Honorable Mention
著者
Jocelyn J. Shen
Massachusetts Institute of Technology, Cambridge, Massachusetts, United States
Jennifer King Chen
Apple, Seattle, Washington, United States
Leah Findlater
Apple, Seattle, Washington, United States
Griffin Dietz Smith
Apple, Seattle, Washington, United States
DOI

10.1145/3706598.3713405

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713405

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technology-Facilitated Family Interaction

G402
6 件の発表
2025-04-30 20:10:00
2025-04-30 21:40:00
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