Xiaoyi Tian , Amit Kumar , Carly E Solomon , Kaceja D Calder , Gloria Ashiya Katuka , Yukyeong Song , Mehmet Celepkolu , Lydia Pezzullo , Joanne Barrett , Kristy Elizabeth Boyer , Maya Israel
{"title":"AMBY: A development environment for youth to create conversational agents","authors":"Xiaoyi Tian , Amit Kumar , Carly E Solomon , Kaceja D Calder , Gloria Ashiya Katuka , Yukyeong Song , Mehmet Celepkolu , Lydia Pezzullo , Joanne Barrett , Kristy Elizabeth Boyer , Maya Israel","doi":"10.1016/j.ijcci.2023.100618","DOIUrl":null,"url":null,"abstract":"<div><p>Conversational AIs such as Alexa and ChatGPT are increasingly ubiquitous in young people’s lives, but these young users are often not afforded the opportunity to learn about the inner workings of these technologies. One of the most powerful ways to foster this learning is to empower youth to create AI that is personally and socially meaningful to them. We have built a novel development environment, AMBY–“AI Made By You”–for youth to create conversational agents. AMBY was iteratively designed with and for youth aged 12–13 through contextual inquiry and usability studies. AMBY is designed to foster AI learning with features that enable users to generate training datasets and visualize conversational flow. We report on results from a two-week summer camp deployment, and contribute design implications for conversational AI authoring tools that empower AI learning for youth.</p></div>","PeriodicalId":38431,"journal":{"name":"International Journal of Child-Computer Interaction","volume":"38 ","pages":"Article 100618"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Child-Computer Interaction","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212868923000557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
Conversational AIs such as Alexa and ChatGPT are increasingly ubiquitous in young people’s lives, but these young users are often not afforded the opportunity to learn about the inner workings of these technologies. One of the most powerful ways to foster this learning is to empower youth to create AI that is personally and socially meaningful to them. We have built a novel development environment, AMBY–“AI Made By You”–for youth to create conversational agents. AMBY was iteratively designed with and for youth aged 12–13 through contextual inquiry and usability studies. AMBY is designed to foster AI learning with features that enable users to generate training datasets and visualize conversational flow. We report on results from a two-week summer camp deployment, and contribute design implications for conversational AI authoring tools that empower AI learning for youth.
像Alexa和ChatGPT这样的对话式人工智能在年轻人的生活中越来越普遍,但这些年轻用户往往没有机会了解这些技术的内部工作原理。促进这种学习的最有力方法之一就是让年轻人有能力创造对他们个人和社会都有意义的人工智能。我们为年轻人打造了一个全新的开发环境——AMBY——“AI Made By You”。AMBY是通过语境调查和可用性研究,为12-13岁的青少年反复设计的。AMBY旨在通过使用户能够生成训练数据集和可视化会话流程的功能来促进人工智能学习。我们报告了为期两周的夏令营部署的结果,并为对话式人工智能创作工具提供了设计启示,这些工具使年轻人能够学习人工智能。