A Knowledge Sharing Framework for Better Interaction with Participants

Anuradha Madugalla,Tanjila Kanij, Chloe Brett, Daniel Feltham, Riley Keane, Lucia Pugh, Irmgard van der Spuy

2023 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)(2023)

引用 0|浏览0
暂无评分
摘要
Software Engineering (SE) researchers need to interact with diverse communities such as disabled users, older adults, and people from various cultures and professions. This interactions have always been challenging that and were exacerbated by the COVID-19 pandemic which led to the adoption of new methods such as Zoom-based interviews, collaborative tools-based workshops and so on. These issues can be overcome by collective knowledge sharing. This paper presents a knowledge sharing framework for the SE research community to support information sharing about research frameworks, tools, and guidelines to be used when interacting with particular participant groups. We developed this framework using JavaScript (JS) and CSS and hosted the knowledge data as YAML files in the GitHub repository. The framework facilitates adding new content to the tool while consuming what is already there. By using GitHub and establishing a CI/CD pipeline to Vercel (the hosting service) we supported automatic integration of content after it has been approved by a moderator. We developed this framework using the iterative development approach and sought feedback from the SE research community in each iteration.
更多
查看译文
关键词
software engineering community,participants,research support
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要