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dc.contributor.authorAmores Fernandez, Judith
dc.contributor.authorMaes, Patricia
dc.date.accessioned2020-02-24T15:40:08Z
dc.date.available2020-02-24T15:40:08Z
dc.date.issued2017-05
dc.identifier.isbn9781450346559
dc.identifier.urihttps://hdl.handle.net/1721.1/123846
dc.description.abstractThe sense of smell is perhaps the most pervasive of all senses, but it is also one of the least understood and least exploited in HCI. We present Essence, the first olfactory computational necklace that can be remotely controlled through a smartphone and can vary the intensity and frequency of the released scent based on biometric or contextual data. This paper discusses the role of smell in designing pervasive systems that affect one's mood and cognitive performance while being asleep or awake. We present a set of applications for this type of technology as well as the implementation of the olfactory display and the supporting software. We also discuss the results of an initial test of the prototype that show the robustness and usability of Essence while wearing it for long periods of time in multiple environments. Keyword: Olfactory Interfaces; Wearable Computers; Behavior Change; Unconscious; Pervasive; Prototyping/Implementation; Fabrication; Fashion/Clothing; Health - Wellbeing; Smellen_US
dc.publisherACM Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/3025453.3026004en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Maes via Elizabeth Soergelen_US
dc.titleEssence: Olfactory Interfaces for Unconscious Influence of Mood and Cognitive Performanceen_US
dc.title.alternativeOlfactory Interfaces for Unconscious Influence of Mood and Cognitive Performanceen_US
dc.typeArticleen_US
dc.identifier.citationAmores, Judith and Pattie Maes. "Essence: Olfactory Interfaces for Unconscious Influence of Mood and Cognitive Performance." CHI Conferences on Human Factors in Computing Systems, May 2017, Denver, Colorado, USA, Association for Computing Machinery, May 2017en_US
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratoryen_US
dc.relation.journalProceedings of the 2017 CHI Conferences on Human Factors in Computing Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.date.submission2020-02-18T20:24:03Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusComplete


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