dc.contributor.author | Chwalek, Patrick | |
dc.contributor.author | Ramsay, David | |
dc.contributor.author | Paradiso, Joseph A | |
dc.date.accessioned | 2022-11-02T18:02:08Z | |
dc.date.available | 2022-11-02T18:02:08Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://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.iso | en | |
dc.publisher | Association for Computing Machinery (ACM) | en_US |
dc.relation.isversionof | 10.1145/3478079 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | ACM | en_US |
dc.title | Captivates: A Smart Eyeglass Platform for Across-Context Physiological Measurement | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Chwalek, 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.department | Program in Media Arts and Sciences (Massachusetts Institute of Technology) | en_US |
dc.relation.journal | Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2022-11-02T17:38:21Z | |
dspace.orderedauthors | Chwalek, P; Ramsay, D; Paradiso, JA | en_US |
dspace.date.submission | 2022-11-02T17:38:29Z | |
mit.journal.volume | 5 | en_US |
mit.journal.issue | 3 | en_US |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |