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From Biodata to Somadata
dc.contributor.author | Alfaras, Miquel | |
dc.contributor.author | Tsaknaki, Vasiliki | |
dc.contributor.author | Sanches, Pedro | |
dc.contributor.author | Windlin, Charles | |
dc.contributor.author | Umair, Muhammad | |
dc.contributor.author | Sas, Corina | |
dc.contributor.author | Höök, Kristina | |
dc.date.accessioned | 2020-09-14T07:39:04Z | |
dc.date.available | 2020-09-14T07:39:04Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Miquel Alfaras, Vasiliki Tsaknaki, Pedro Sanches, Charles Windlin, Muhammad Umair, Corina Sas, and Kristina Höök. 2020. From Biodata to Somadata. In CHI Conference on Human Factors in Computing Systems (CHI '20), April 25–30, 2020, Honolulu, HI, USA. ACM, New York, NY, USA 14 Pages. https://doi.org/10.1145/3313831.3376684 | ca_CA |
dc.identifier.isbn | 978-1-4503-6708-0 | |
dc.identifier.uri | http://hdl.handle.net/10234/189665 | |
dc.description.abstract | Biosensing technologies are increasingly available as off-the-shelf products, yet for many designers, artists and non-engineers, these technologies remain difficult to design with. Through a soma design stance, we devised a novel approach for exploring qualities in biodata. Our explorative process culminated in the design of three artefacts, coupling biosignals to tangible actuation formats. By making biodata perceivable as sound, in tangible form or directly on the skin, it became possible to link qualities of the measurements to our own somatics – our felt experience of our bodily bioprocesses – as they dynamically unfold, spurring somatically-grounded design discoveries of novel possible interactions. We show that making biodata attainable for a felt experience – or as we frame it: turning biodata into somadata – enables not only first-person encounters, but also supports collaborative design processes as the somadata can be shared and experienced dynamically, right at the moment when we explore design ideas. | ca_CA |
dc.format.extent | 14 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Association for Computing Machinery (ACM) | ca_CA |
dc.relation.isPartOf | CHI '20: CHI Conference on Human Factors in Computing Systems, Honolulu, HI, USA, April 2020 | ca_CA |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | * |
dc.subject | biosensing | ca_CA |
dc.subject | soma design | ca_CA |
dc.subject | first-person perspective | ca_CA |
dc.subject | affective technology | ca_CA |
dc.subject | interaction design | ca_CA |
dc.title | From Biodata to Somadata | ca_CA |
dc.type | info:eu-repo/semantics/conferenceObject | ca_CA |
dc.identifier.doi | https://doi.org/10.1145/3313831.3376684 | |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
dc.relation.publisherVersion | https://dl.acm.org/doi/abs/10.1145/3313831.3376684 | ca_CA |
dc.contributor.funder | This work has been supported by AffecTech: Personal Technologies for Affective Health, Innovative Training Network funded by the H2020 People Programme under Marie Skłodowska Curie grant agreement No 722022, the Swedish Foundation for Strategic Research project RIT15-0046, and the Swedish Research council project 2016-04709. | ca_CA |
dc.type.version | info:eu-repo/semantics/publishedVersion | ca_CA |