Exploring Machine Autonomy and Provenance Data in Coffee Consumption

Tallyn, Ella, Pschetz, Larissa, Gianni, Rory, Speed, Chris and Elsden, Chris (2018) Exploring Machine Autonomy and Provenance Data in Coffee Consumption. Proceedings of the ACM on Human-Computer Interaction, 2 (CSCW). p. 170. ISSN 2573-0142

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Official URL: https://doi.org/10.1145/3274439

Abstract

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.

Item Type: Article
Uncontrolled Keywords: Blockchain, Distributed ledger technologies, Distributed autonomous systems, Heteromation, Provenance, Supply chains
Subjects: G400 Computer Science
L900 Others in Social studies
Department: Faculties > Arts, Design and Social Sciences > Design
Depositing User: Elena Carlaw
Date Deposited: 13 Jun 2019 11:17
Last Modified: 11 Oct 2019 09:18
URI: http://nrl.northumbria.ac.uk/id/eprint/39668

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