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Metaphone: Machine aesthetics meets interaction design
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Mobile Life at KTH)
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Mobile Life at KTH)ORCID iD: 0000-0003-1974-1100
KTH, School of Computer Science and Communication (CSC), Media Technology and Interaction Design, MID. (Mobile Life at KTH)ORCID iD: 0000-0002-0002-4825
KTH, School of Information and Communication Technology (ICT), Electronic Systems. (Mobile Life at KTH)
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2014 (English)In: CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 2014, 1-10 p.Conference paper, Published paper (Refereed)
Abstract [en]

Through our art project, Metaphone, we explored a particular form of aesthetics referred to in the arts tradition as machine aesthetics. The Metaphone machine collects the participant's bio-data, Galvanic Skin Response (GSR) and Heart Rate (HR), creating a process of movement, painting and sound. The machine behaves in machine-like, aesthetically evocative ways: A shaft on two large wheels rotates on the floor, carrying paint that is dripped onto a large sheet of aquarelle paper on the floor according to bio-sensor data. A soundscape rhythmically follows the bio-sensor data, but also has its own machine-like sounds. Six commentators were invited to interact with the machine. They reported a strangely relaxing atmosphere induced by the machine. Based on these experiences we discuss how different art styles can help to describe aesthetics in interaction design generally, and how machine aesthetics in particular can be used to create interesting, sustained, stylistically coherent interactions.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2014. 1-10 p.
Keyword [en]
Affective Computing, Bodily Interaction, Interaction Design, Interactive Arts, Machine Aesthetics, Media Arts
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:kth:diva-146798DOI: 10.1145/2556288.2557152Scopus ID: 2-s2.0-84900433599ISBN: 978-145032473-1 (print)OAI: oai:DiVA.org:kth-146798DiVA: diva2:725396
Conference
32nd Annual ACM Conference on Human Factors in Computing Systems, CHI 2014; Toronto, ON; Canada; 26 April 2014 through 1 May 2014
Note

QC 20140616

Available from: 2014-06-16 Created: 2014-06-16 Last updated: 2015-01-20Bibliographically approved

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Lundström, AndersHöök, Kristina

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Šimbelis, VygandasLundström, AndersHöök, KristinaSolsona, JordiLewandowski, Vincent
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