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Designing for Democratization: Introducing Novices to Artificial Intelligence Via Maker Kits

2018-07-05 19:31:37
Victor Dibia, Maryam Ashoori, Aaron Cox, Justin Weisz

Abstract

Existing research highlight the myriad of benefits realized when technology is sufficiently democratized and made accessible to non-technical or novice users. However, democratizing complex technologies such as artificial intelligence (AI) remains hard. In this work, we draw on theoretical underpinnings from the democratization of innovation, in exploring the design of maker kits that help introduce novice users to complex technologies. We report on our work designing TJBot: an open source cardboard robot that can be programmed using pre-built AI services. We highlight principles we adopted in this process (approachable design, simplicity, extensibility and accessibility), insights we learned from showing the kit at workshops (66 participants) and how users interacted with the project on GitHub over a 12-month period (Nov 2016 - Nov 2017). We find that the project succeeds in attracting novice users (40% of users who forked the project are new to GitHub) and a variety of demographics are interested in prototyping use cases such as home automation, task delegation, teaching and learning.

Abstract (translated)

现有的研究突出了当技术充分民主化并使非技术或新手用户可以访问时实现的无数好处。然而,人工智能(AI)等复杂技术的民主化仍然很难。在这项工作中,我们借鉴了创新民主化的理论基础,探索了制造商工具包的设计,有助于向新手用户介绍复杂的技术。我们报告了我们设计TJBot的工作:一个开源纸板机器人,可以使用预先构建的AI服务进行编程。我们强调了我们在此过程中采用的原则(平易近人的设计,简单性,可扩展性和可访问性),我们从研讨会(66名参与者)展示工具包中获得的见解以及用户如何在12个月内与GitHub上的项目进行互动(2016年11月) - 2017年11月)。我们发现该项目成功地吸引了新手用户(分配该项目的用户中有40%是GitHub的新用户),并且各种人口统计学对原型设计用例感兴趣,例如家庭自动化,任务授权,教学和学习。

URL

https://arxiv.org/abs/1805.10723

PDF

https://arxiv.org/pdf/1805.10723.pdf


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