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dc.contributor.authorNagele, ANen_US
dc.contributor.authorHough, Jen_US
dc.contributor.authorDinnen, Zen_US
dc.contributor.authorCHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI ’22 Extended Abstracts), April 29-May 5, 2022, New Orleans, LA, USAen_US
dc.date.accessioned2022-06-07T09:07:29Z
dc.date.available2022-02-18en_US
dc.date.issued2022-04-04en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/78727
dc.description.abstractSelf-reported quality and duration of sleep in Western populations is declining. The interest in wearable sleep-trackers that are promis- ing better sleep is growing. By wearing a device day and night the sleeper is continuously connected to a more-than-human net- work. The mass-adoption of sleep-tracking devices has an impact on the personal, social and cultural meaning of sleep. This study looks at the discourse forming around wearable sleep-trackers. This extended abstract presents how non-human subjectivities are accounted for in this discourse. Through a posthuman discourse analysis of textual and visual artefacts from interviews, academic research and popular media, six distinct roles for these non-human social agents were identified: ‘Teacher’, ‘Informant’, ‘Companion’, ‘Therapist’, ‘Coach’ and ‘Mediator’. This characterisation is a first step to understanding sleep-trackers as social agents, reorganising personal and contextual relationships with the sleeping self.en_US
dc.rightsThis is a pre-copyedited, author-produced version accepted for publication in CHI Conference on Human Factors in Computing Systems Analysis following peer review. The version of record is available https://dl.acm.org/doi/10.1145/3491101.3519677
dc.subjectagencyen_US
dc.subjectdiscourse analysisen_US
dc.subjectpersonal informaticsen_US
dc.subjectposthumanismen_US
dc.subjectsleep-trackingen_US
dc.subjectsubjectivityen_US
dc.subjectwearable technologyen_US
dc.titleThe Subjectivities of Wearable Sleep-Trackers - A Discourse Analysisen_US
dc.typeConference Proceeding
dc.rights.holder© 2022, Association of Computing Machinery. Inc
dc.identifier.doi10.1145/3491101.3519677en_US
pubs.notesNot knownen_US
pubs.publication-statusAccepteden_US
dcterms.dateAccepted2022-02-18en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderEPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology::Engineering and Physical Sciences Research Councilen_US


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