AI

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

1 Mins read

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.


Source link

Related posts
AI

Using transcription confidence scores to improve slot filling in Amazon Lex

6 Mins read
When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. For…
AI

Improving Retrieval Augmented Generation accuracy with GraphRAG

6 Mins read
Customers need better accuracy to take generative AI applications into production. In a world where decisions are increasingly data-driven, the integrity and…
AI

Microsoft Researchers Release AIOpsLab: An Open-Source Comprehensive AI Framework for AIOps Agents

3 Mins read
The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures to ensure…

 

 

Leave a Reply

Your email address will not be published. Required fields are marked *