Speculative Machines Exploring Contemporary Data Futures

Gareth McMurchy; Nick Taylor; Martin Skelly

Speculative Machines Exploring Contemporary Data Futures

Gareth McMurchy (Lead / Corresponding author), Nick Taylor, Martin Skelly

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Abstract

This pictorial describes two projects that present alternative perspectives on the use – and misuse - of data in contemporary society. The first project, Do Not Fold, Spindle, Or Mutilate, takes a critical stance on the data that is collected while browsing the web through third-party tracking cookies. The second project, Terminal, speculates on a possible future in which data storage drives with vast capacities are readily available, reducing the reliance on cloud storage. By presenting these two viewpoints that challenge our preconceptions of data as a material in design process, it is hoped that designers can be inspired to create additional speculative interpretations on near-future data objects.

Original language	English
Publication status	Published - 28 Apr 2023
Event	ACM CHI Conference on Human Factors in Computing Systems - Congress Center Hamburg (CCH), Hamburg , Germany Duration: 23 Apr 2023 → 28 Apr 2023 https://chi2023.acm.org/

Conference

Conference	ACM CHI Conference on Human Factors in Computing Systems
Country/Territory	Germany
City	Hamburg
Period	23/04/23 → 28/04/23
Internet address	https://chi2023.acm.org/

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title = "Speculative Machines Exploring Contemporary Data Futures",

abstract = "This pictorial describes two projects that present alternative perspectives on the use – and misuse - of data in contemporary society. The first project, Do Not Fold, Spindle, Or Mutilate, takes a critical stance on the data that is collected while browsing the web through third-party tracking cookies. The second project, Terminal, speculates on a possible future in which data storage drives with vast capacities are readily available, reducing the reliance on cloud storage. By presenting these two viewpoints that challenge our preconceptions of data as a material in design process, it is hoped that designers can be inspired to create additional speculative interpretations on near-future data objects. ",

author = "Gareth McMurchy and Nick Taylor and Martin Skelly",

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T1 - Speculative Machines Exploring Contemporary Data Futures

AU - McMurchy, Gareth

AU - Taylor, Nick

AU - Skelly, Martin

PY - 2023/4/28

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N2 - This pictorial describes two projects that present alternative perspectives on the use – and misuse - of data in contemporary society. The first project, Do Not Fold, Spindle, Or Mutilate, takes a critical stance on the data that is collected while browsing the web through third-party tracking cookies. The second project, Terminal, speculates on a possible future in which data storage drives with vast capacities are readily available, reducing the reliance on cloud storage. By presenting these two viewpoints that challenge our preconceptions of data as a material in design process, it is hoped that designers can be inspired to create additional speculative interpretations on near-future data objects.

AB - This pictorial describes two projects that present alternative perspectives on the use – and misuse - of data in contemporary society. The first project, Do Not Fold, Spindle, Or Mutilate, takes a critical stance on the data that is collected while browsing the web through third-party tracking cookies. The second project, Terminal, speculates on a possible future in which data storage drives with vast capacities are readily available, reducing the reliance on cloud storage. By presenting these two viewpoints that challenge our preconceptions of data as a material in design process, it is hoped that designers can be inspired to create additional speculative interpretations on near-future data objects.

UR - https://materialfordesign.net/data/chi-2023-workshop/

UR - https://materialfordesign.net/wp-content/uploads/2023/05/08_CHI2023_MfD.pdf

M3 - Paper

T2 - ACM CHI Conference on Human Factors in Computing Systems

Y2 - 23 April 2023 through 28 April 2023

ER -

Speculative Machines Exploring Contemporary Data Futures

Abstract

Conference

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