Edinburgh Research Explorer

Bitbarista: Exploring perceptions of data transactions in the internet of things

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Related Edinburgh Organisations

Open Access permissions

Open

Documents

  • Download as Adobe PDF

    Rights statement: © ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, 10.1145/3025453.3025878

    Accepted author manuscript, 3.79 MB, PDF document

Original languageEnglish
Title of host publicationCHI '17
Subtitle of host publicationProceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Place of PublicationNew York
PublisherACM
Pages2964-2975
Number of pages12
ISBN (Print)9781450346559
DOIs
Publication statusPublished - 11 May 2017
EventSIGCHI Conference 2017 - Denver, United States
Duration: 6 May 201711 May 2017

Publication series

NameCHI'17
PublisherACM

Conference

ConferenceSIGCHI Conference 2017
CountryUnited States
CityDenver
Period6/05/1711/05/17

Abstract

We are surrounded by a proliferation of connected devices performing increasingly complex data transactions. Traditional design methods tend to simplify or conceal this complexity to improve ease of use. However, the hidden nature of data is causing increasing discomfort. This paper presents BitBarista, a coffee machine designed to explore perceptions of data processes in the Internet of Things. BitBarista reveals social, environmental, qualitative and economic aspects of coffee supply chains. It allows people to choose a source of future coffee beans, situating their choices within the pool of decisions previously made. In doing so, it attempts to engage them in the transactions that are required to produce coffee. Initial studies of BitBarista with 42 participants reveal challenges of designing for connected systems, particularly in terms of perceptions of data gathering and sharing, as well as assumptions generated by current models of consumption. A discussion is followed by a series of suggestions for increasing positive attitudes towards data use in interactive systems.

Event

SIGCHI Conference 2017

6/05/1711/05/17

Denver, United States

Event: Conference

Download statistics

No data available

ID: 29947812