Execu&ng Things Winnie Soon @ Aarhus University 19.Apr.2016
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Execu&ng Things
Winnie Soon @ Aarhus University 19.Apr.2016
Execu&on
“like poetry, the aesthe&c value of code lies in its execu+on, not simply its wriHen form”
(Cox, McLean and Ward, 2000, n.p)
Execu&on
The code is interac&ng with the user, itself, its environment, and the systems it has access to via many mul&-‐layered and mediated interfaces that are available to it. Many of the components are predetermined, but through the combina&ons of interac&ons combined with the dynamism and unpredictability of live ac&on, the result is far from fixed as a whole.
(Cox, McLean and Ward, 2004 p. 164)
Love LeHer Generator (1952)
Love LeHer Generator (1952)
“My – (adj)-‐(noun)-‐(adv)-‐(verb) your-‐(adj)-‐(noun)” “You are my-‐ (adj)-‐(noun)” “Yours-‐(adv) M.U.C”
If I wrote you a love leHer would you write back (and thousand of other ques&ons)
By Winnie Soon and Helen Pritchard -‐ 2016, Electronic Literature Collec&on, Volume 3 -‐ 2015, Ar&s&c Research, Kunsthal Aarhus @ Denmark -‐ 2013, Digital Futures, Victoria and Albert Museum @ London, UK -‐ 2012, Microwave Interna&onal New Media Arts Fes&val @ Hong Kong
If I wrote you a love leHer would you write back (and thousand of other ques&ons)
The network asks us ‘If I wrote you a love leHer would you write back?’ in this work. Computa&onal code draws thousands of ques&ons from online maHer into the exhibi&on space. The ques&ons are gathered in real-‐&me from the social media site TwiHer and encoded to speech. Listening is a form of decoding, and in this work the machine constantly undergoes the process of edi&ng, encoding and decoding texts. What happens when wriHen texts of the network are converted to speech? How does it feel to listen to the ques&ons of a machine, when these ques&ons are our familiar tweets?
Execu&ng queries
A simplified model of Thousand Ques&ons
Sohware: Thousand Ques&ons
TwiHer
Query: keywords = “?”, EN, no=x, recent
Tweets, who, &me, id….
Voice + Visual
What cons&tutes unpredictability through execu&ng live queries?
1. Random events
A thinking model of TwiHer random input
2. Noise and unpredictability
Informa&on Theory
3. Operators
Query
Put simply: query=?+hello+-‐world
Rela&onal operators
• == • > • < • != • >= • <=
4. Inexecutable query
Inexecutable query
Unpredictable manifesta&on
Sohware: Thousand Ques&ons
TwiHer
Query: keywords = “?”, EN, no=x, recent
Tweets, who, &me, id….
Voice + Visual
how do code and language differ how are they similar?
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