ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Smith, Griffin Dietz, Prasad, Siddhartha, Davidson, Matt J., Findlater, Leah, Shapiro, R. Benjamin
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866909192549302272
author Smith, Griffin Dietz
Prasad, Siddhartha
Davidson, Matt J.
Findlater, Leah
Shapiro, R. Benjamin
author_facet Smith, Griffin Dietz
Prasad, Siddhartha
Davidson, Matt J.
Findlater, Leah
Shapiro, R. Benjamin
contents Much of early literacy education happens at home with caretakers reading books to young children. Prior research demonstrates how having dialogue with children during co-reading can develop critical reading readiness skills, but most adult readers are unsure if and how to lead effective conversations. We present ContextQ, a tablet-based reading application to unobtrusively present auto-generated dialogic questions to caretakers to support this dialogic reading practice. An ablation study demonstrates how our method of encoding educator expertise into the question generation pipeline can produce high-quality output; and through a user study with 12 parent-child dyads (child age: 4-6), we demonstrate that this system can serve as a guide for parents in leading contextually meaningful dialogue, leading to significantly more conversational turns from both the parent and the child and deeper conversations with connections to the child's everyday life.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03889
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading
Smith, Griffin Dietz
Prasad, Siddhartha
Davidson, Matt J.
Findlater, Leah
Shapiro, R. Benjamin
Human-Computer Interaction
Much of early literacy education happens at home with caretakers reading books to young children. Prior research demonstrates how having dialogue with children during co-reading can develop critical reading readiness skills, but most adult readers are unsure if and how to lead effective conversations. We present ContextQ, a tablet-based reading application to unobtrusively present auto-generated dialogic questions to caretakers to support this dialogic reading practice. An ablation study demonstrates how our method of encoding educator expertise into the question generation pipeline can produce high-quality output; and through a user study with 12 parent-child dyads (child age: 4-6), we demonstrate that this system can serve as a guide for parents in leading contextually meaningful dialogue, leading to significantly more conversational turns from both the parent and the child and deeper conversations with connections to the child's everyday life.
title ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading
topic Human-Computer Interaction
url https://arxiv.org/abs/2405.03889