This content will become publicly available on June 21, 2027

Title: Designing Conversational Agents for Young Children: Comparing Disembodied, Embodied, and Customizable Agents
Conversational agents (CAs) have become increasingly prominent in education, yet most research focuses on disembodied chatbots for higher education. Because visual representation is central for early childhood, we developed a web application with an LLM-based CA to examine how embodiment and visual appearance relate to children’s dialogic interactions. In an online study with 33 children ages 4–8, participants were randomly assigned to interact with a text-based CA, an embodied CA with a random avatar, or an embodied CA whose appearance children could customize. Children showed high verbal engagement regardless of CA type. Across interactions, children largely remained on topic, though playfulness, disengagement, and social connectedness varied. Interactions with custom avatar CAs more often included playful and disengaged behaviors, while customization patterns suggested that children created avatars resembling themselves or explored fantastical identities. This study provides initial insights into design mechanisms for child-centered pedagogical CAs.  more » « less
Award ID(s):
2115382
PAR ID:
10702027
Author(s) / Creator(s):
; ;
Publisher / Repository:
ACM
Date Published:
ISBN:
9798400722837
Page Range / eLocation ID:
989 to 995
Format(s):
Medium: X
Location:
Brighton United Kingdom
Sponsoring Org:
National Science Foundation
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