Exploring Machine Autonomy and Provenance Data in Coffee Consumption
Exploring Machine Autonomy and Provenance Data in Coffee Consumption
复制标题
探索咖啡消费中的机器自主性和来源数据
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Chris Elsden
中科院分区：
文献类型：
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作者：
Ella Tallyn;Larissa Pschetz;Rory Gianni;Chris Speed;Chris Elsden
分布式分类账和智能合同等技术正在推动新的自主系统的出现，并提供增强的系统来追踪商品的来源。越来越多的人机界面工作正在探索这些系统的新挑战，但很少有人关注它们对日常活动的影响。本文介绍了一项在3个办公环境中进行的为期1个月的研究，旨在探索自主咖啡机对日常咖啡消费活动的影响。Bitbarista通过自主流程调节咖啡消费，在购买时提供产地数据，同时试图减少咖啡贸易中的中间人。通过与Bitbarista及其周围互动的报道，我们探索了它对日常生活以及更广泛的社会结构和价值观的影响。最后，我们对社区共享自治系统的设计提出了建议。
Technologies such as distributed ledgers and smart contracts are enabling the emergence of new autonomous systems, and providing enhanced systems to track the provenance of goods. A growing body of work in HCI is exploring the novel challenges of these systems, but there has been little attention paid to their impact on everyday activities. This paper presents a study carried out in 3 office environments for a 1-month period, which explored the impact of an autonomous coffee machine on the everyday activity of coffee consumption. The Bitbarista mediates coffee consumption through autonomous processes, presenting provenance data at the time of purchase while attempting to reduce intermediaries in the coffee trade. Through the report of interactions with and around the Bitbarista, we explore its implications for everyday life, and wider social structures and values. We conclude by offering recommendations for the design of community shared autonomous systems.
作为增强记忆系统的旧物互联网
影响因子：
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作者：
Barthel R
通讯作者：
Barthel R