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dc.contributor.authorChwalek, Patrick
dc.contributor.authorRamsay, David
dc.contributor.authorParadiso, Joseph A
dc.date.accessioned2022-11-02T18:02:08Z
dc.date.available2022-11-02T18:02:08Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/146090
dc.description.abstract<jats:p>We present Captivates, an open-source smartglasses system designed for long-term, in-the-wild psychophysiological monitoring at scale. Captivates integrate many underutilized physiological sensors in a streamlined package, including temple and nose temperature measurement, blink detection, head motion tracking, activity classification, 3D localization, and head pose estimation. Captivates were designed with an emphasis on: (1) manufacturing and scalability, so we can easily support large scale user studies for ourselves and offer the platform as a generalized tool for ambulatory psychophysiology research; (2) robustness and battery life, so long-term studies result in trustworthy data individual's entire day in natural environments without supervision or recharge; and (3) aesthetics and comfort, so people can wear them in their normal daily contexts without self-consciousness or changes in behavior.</jats:p> <jats:p>Captivates are intended to enable large scale data collection without altering user behavior. We validate that our sensors capture useful data robustly for a small set of beta testers. We also show that our additional effort on aesthetics was imperative to meet our goals; namely, earlier versions of our prototype make people uncomfortable to interact naturally in public, and our additional design and miniaturization effort has made a significant impact in preserving natural behavior.</jats:p> <jats:p>There is tremendous promise in translating psychophysiological laboratory techniques into real-world insight. Captivates serve as an open-source bridge to this end. Paired with an accurate underlying model, Captivates will be able to quantify the long-term psychological impact of our design decisions and provide real-time feedback for technologists interested in actuating a cognitively adaptive, user-aligned future.</jats:p>en_US
dc.language.isoen
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionof10.1145/3478079en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleCaptivates: A Smart Eyeglass Platform for Across-Context Physiological Measurementen_US
dc.typeArticleen_US
dc.identifier.citationChwalek, Patrick, Ramsay, David and Paradiso, Joseph A. 2021. "Captivates: A Smart Eyeglass Platform for Across-Context Physiological Measurement." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 5 (3).
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.relation.journalProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologiesen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-11-02T17:38:21Z
dspace.orderedauthorsChwalek, P; Ramsay, D; Paradiso, JAen_US
dspace.date.submission2022-11-02T17:38:29Z
mit.journal.volume5en_US
mit.journal.issue3en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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