ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Persona... скачать в хорошем качестве

ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Persona...

ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Persona... Woosuk Seo, Chanmo Yang, Young-Ho Kim CHI 2024: The ACM CHI Conference on Human Factors in Computing Systems Session: Supporting Children and Teens Socialization 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. Web:: https://programs.sigchi.org/chi/2024/... Pre-recorded video presentations for Papers at CHI 2024