ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events

要旨

Children typically learn to identify and express their emotions by sharing stories and feelings with others, particularly family members. However, it is challenging for parents or siblings to have effective emotion communication with children since children are still developing their communication skills. We present ChaCha, a chatbot that encourages and guides children to share personal events and associated emotions. ChaCha combines a state machine and large language models (LLMs) to keep the dialogue on track while carrying on free-form conversations. Through an exploratory study with 20 children (aged 8-12), we examine how ChaCha prompts children to share personal events and guides them to describe associated emotions. Participants perceived ChaCha as a close friend and shared their stories on various topics, such as family trips and personal achievements. Based on the findings, we discuss opportunities for leveraging LLMs to design child-friendly chatbots to support children in sharing emotions.

著者
Woosuk Seo
University of Michigan, Ann Arbor, Michigan, United States
Chanmo Yang
Wonkwang University Hospital, Wonkwang University, Iksan, Jeonbuk, Korea, Republic of
Young-Ho Kim
NAVER AI Lab, Seongnam, Gyeonggi, Korea, Republic of
論文URL

https://doi.org/10.1145/3613904.3642152

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Supporting Children and Teens Socialization

321
5 件の発表
2024-05-13 20:00:00
2024-05-13 21:20:00