Yoonjoo Lee
KAIST, Daejeon, Korea, Republic of
Children acquire an understanding of the world by asking "why'' and "how'' questions. Conversational agents (CAs) like smart speakers or voice assistants can be promising respondents to children's questions as they are more readily available than parents or teachers. However, CAs' answers to "why'' and "how'' questions are not designed for children, as they can be difficult to understand and provide little interactivity to engage the child. In this work, we propose design guidelines for creating interactive dialogues that promote children's engagement and help them understand explanations. Applying these guidelines, we propose DAPIE, a system that answers children's questions through interactive dialogue by employing an AI-based pipeline that automatically transforms existing long-form answers from online sources into such dialogues. A user study (N=16) showed that, with DAPIE, children performed better in an immediate understanding assessment while also reporting higher enjoyment than when explanations were presented sentence-by-sentence.
https://doi.org/10.1145/3544548.3581369
The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)