Semi-Automating (or not) a Socio-Technical Method for Socio-Technical Systems

2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) Pub Date : 2018-10-01 DOI:10.1109/VLHCC.2018.8506514

Christopher J. Mendez, Zoe Steine-Hanson, A. Oleson, Amber Horvath, Charles Hill, C. Hilderbrand, A. Sarma, M. Burnett

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引用次数: 7

Abstract

How can we support software professionals who want to build human-adaptive sociotechnical systems? Building such systems requires skills some developers may lack, such as applying human-centric concepts to the software they develop and/or mentally modeling other people. Effective socio-technical methods exist to help, but most are manual and cognitively burdensome. In this paper, we investigate ways semi-automating a socio-technical method might help, using as our lens GenderMag, a method that requires people to mentally model people with genders different from their own. Toward this end, we created the GenderMag Recorder's Assistant, a semi-automated visual tool, and conducted a small field study and a 92-participant controlled study. Results of our investigation revealed ways the tool helped with cognitive load and ways it did not; unforeseen advantages of the tool in increasing participants' engagement with the method; and a few unforeseen advantages of the manual approach as well.

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半自动化(或非自动化)是社会技术系统的社会技术方法

我们如何支持那些想要构建人类适应性社会技术系统的软件专业人员?构建这样的系统需要一些开发人员可能缺乏的技能，例如将以人为中心的概念应用于他们开发的软件和/或在心里为其他人建模。存在有效的社会技术方法可以提供帮助，但大多数方法都是手动的，而且认知负担过重。在本文中，我们研究了半自动化社会技术方法可能提供的帮助，使用我们的镜头GenderMag，一种要求人们在心理上模拟与自己性别不同的人的方法。为此，我们创建了“性别杂志记录助手”(GenderMag Recorder’s Assistant)，这是一种半自动视觉工具，并进行了一项小型实地研究和一项92名参与者的对照研究。我们的调查结果揭示了该工具在哪些方面有助于减轻认知负荷，哪些方面没有;该工具在增加参与者对该方法的参与方面的不可预见的优势;手工方法也有一些意想不到的优点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC)

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