Amit Kumar, Xiaoyi Tian, M. Celepkolu, Maya Israel, K. Boyer
{"title":"Early Design of a Conversational AI Development Platform for Middle Schoolers","authors":"Amit Kumar, Xiaoyi Tian, M. Celepkolu, Maya Israel, K. Boyer","doi":"10.1109/vl/hcc53370.2022.9833129","DOIUrl":null,"url":null,"abstract":"—More young people are interacting with smart con- versational agents such as Alexa and Google Assistant. These platforms are extensible, providing, in principle, a compelling opportunity for young users to create and tinker with their own conversational agents. However, to date the interfaces for conversational app development are adult-focused. This paper presents the early design process for AMBY (AI Made by You), which we are building to empower young learners to create their own conversational agents. We first conducted a contextual inquiry with 14 middle school students (aged 11-13) in an AI summer camp, followed by two other usability studies. The system design has been refined after each study. Key features of AMBY include a visual dialogue management panel, testing panel with a diverse avatar, and a voice input modality. AMBY is designed to serve as a pedagogically-robust resource for K-12 AI education and as an engaging and creative way for middle schoolers to explore AI.","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/vl/hcc53370.2022.9833129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
—More young people are interacting with smart con- versational agents such as Alexa and Google Assistant. These platforms are extensible, providing, in principle, a compelling opportunity for young users to create and tinker with their own conversational agents. However, to date the interfaces for conversational app development are adult-focused. This paper presents the early design process for AMBY (AI Made by You), which we are building to empower young learners to create their own conversational agents. We first conducted a contextual inquiry with 14 middle school students (aged 11-13) in an AI summer camp, followed by two other usability studies. The system design has been refined after each study. Key features of AMBY include a visual dialogue management panel, testing panel with a diverse avatar, and a voice input modality. AMBY is designed to serve as a pedagogically-robust resource for K-12 AI education and as an engaging and creative way for middle schoolers to explore AI.
-越来越多的年轻人与智能对话代理互动,如Alexa和谷歌助手。这些平台是可扩展的,原则上为年轻用户提供了创建和修补他们自己的会话代理的绝佳机会。然而,到目前为止,会话应用程序开发的界面主要是针对成年人的。本文介绍了AMBY (AI Made by You)的早期设计过程,我们正在构建AMBY,使年轻学习者能够创建自己的会话代理。我们首先在人工智能夏令营中对14名中学生(11-13岁)进行了上下文调查,然后进行了另外两项可用性研究。每次研究之后,系统的设计都得到了完善。AMBY的主要功能包括一个视觉对话管理面板,带有不同角色的测试面板,以及语音输入模式。AMBY旨在为K-12人工智能教育提供强大的教学资源,并为中学生探索人工智能提供一种吸引人的创造性方式。