CoDAS, a Method for Envisioning Larger-Scaled Computational Artifacts Connecting Communities

Carlos Henrique De Aguiar, Gilly Leshed, Alexander Bernard, J. McKenzie, Camille Andrews, K. Green
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引用次数: 3

Abstract

Information Technologies are increasingly embedded into artifacts of the physical world—furniture, rooms, buildings, and urban infrastructure—making communities around-the-globe more connected and, arguably, more intelligent. However, such larger-scaled, social computing artifacts arrive with critical concerns of cost, material choice, design requirements, fabrication means, robust and safe use, power, and resistance to vandalism and the elements. Given the complexity of realizing larger-scaled, computational artifacts, conventional design methods prove inadequate and potentially costly and dangerous if researchers move too quickly to full-scale prototyping. In this paper, we present CoDAS, a hybrid methodological approach that combines elements of well-known HCI methods to effectively develop larger-scale social computing artifacts.
CoDAS,一种设想连接社区的大规模计算工件的方法
信息技术越来越多地嵌入到物理世界的人工制品中——家具、房间、建筑物和城市基础设施——使全球各地的社区联系更加紧密,也可以说更加智能。然而,这种规模更大的社会计算工件带来了成本、材料选择、设计要求、制造手段、健壮和安全的使用、功率以及对破坏和元素的抵抗力等关键问题。考虑到实现大规模计算工件的复杂性,如果研究人员过快地进行全尺寸原型设计,传统的设计方法被证明是不充分的,并且可能成本高昂且危险。在本文中,我们提出了CoDAS,这是一种混合方法方法,它结合了众所周知的HCI方法的元素,以有效地开发更大规模的社会计算工件。
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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