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":"https://doi.org/10.1109/vl/hcc53370.2022.9833129","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":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134120957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Understanding Similar Code through Comparative Comprehension","authors":"Justin Middleton, Kathryn T. Stolee","doi":"10.1109/vl/hcc53370.2022.9833117","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833117","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114964520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alessio Mascolini, Francesco Ponzio, E. Macii, E. Ficarra, Santa Di Cataldo
{"title":"High Resolution Explanation Maps for CNNs using Segmentation Networks","authors":"Alessio Mascolini, Francesco Ponzio, E. Macii, E. Ficarra, Santa Di Cataldo","doi":"10.1109/vl/hcc53370.2022.9833004","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833004","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115719706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Rimika Chaudhury, Philip J. Guo, Parmit K. Chilana
{"title":"\"There’s no way to keep up!\": Diverse Motivations and Challenges Faced by Informal Learners of ML","authors":"Rimika Chaudhury, Philip J. Guo, Parmit K. Chilana","doi":"10.1109/vl/hcc53370.2022.9833100","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833100","url":null,"abstract":"—In recent years, more people from different backgrounds are trying to informally learn Machine Learning (ML) using a plethora of online resources, yet we know little about their motivations and learning strategies. We carried out interviews with 22 informal learners of ML from diverse job roles and backgrounds, including Computer Science, Medicine, Finance, and others, to understand their approaches, preferences, and challenges in locating and interacting with different resources to manage their learning. We analyzed our findings using the framework of self-directed learning and found that these informal learners struggled in all stages of self-direction, including identifying learning goals and selecting resources, and that their challenges were most acute in the last stage of gauging progress and evaluating outcomes. We identify several opportunities for future research to better understand and support informal learners of ML (and other complex technical skills). In particular, there is a need to foster more self-monitoring and self-reflection techniques that can help informal learners become more self-aware and effective in directing their learning.","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123172534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How Do Teaching Assistants Teach? Characterizing the Interactions Between Students and TAs in a Computer Science Course","authors":"Yana Malysheva, John Allen, Caitlin L. Kelleher","doi":"10.1109/vl/hcc53370.2022.9832962","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9832962","url":null,"abstract":"—Teaching assistants (TAs) play a crucial role in Computer Science courses. When a student is stuck or confused, they often rely on a TA to help them understand a concept or debug their program. At the same time, TAs in Computer Science courses are often very new at teaching, and somewhat new at programming. They may lack the knowledge and resources necessary to help students learn effectively. This work seeks to better understand the nature of TA-student interactions and identify potential opportunities for improvement. We conducted an observational study of one-on-one TA-Student interactions during office hours of a Computer Science course, and analyzed these interactions through the lens of known practices of effective one-on-one tutors. We found that TA-Student interactions focus on code over concepts, and this focus may be detrimental to TAs’ use of good tutoring practices.","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125777431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Joint Session with Diagrams","authors":"","doi":"10.1109/vl/hcc53370.2022.9833119","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833119","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126326054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Which Technologies are Most Frequently Used by Data Scientists?","authors":"Paula Pereira, J. Paulo, Jácome Cunha","doi":"10.1109/vl/hcc53370.2022.9833122","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833122","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128120655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assurance of Machine Learning/TinyML in Safety-Critical Domains","authors":"Zain Iqbal","doi":"10.1109/vl/hcc53370.2022.9833112","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833112","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125678157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ML Blocks: A Block-Based, Graphical User Interface for Creating TinyML Models","authors":"Randi Williams, Michal Moskal, Peli De Halleux","doi":"10.1109/vl/hcc53370.2022.9833149","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833149","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127842608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Code Comprehension and Help Seeking","authors":"","doi":"10.1109/vl/hcc53370.2022.9833137","DOIUrl":"https://doi.org/10.1109/vl/hcc53370.2022.9833137","url":null,"abstract":"","PeriodicalId":351709,"journal":{"name":"2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131853885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}