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dc.contributor.advisorPattie Maes.en_US
dc.contributor.authorAmores Fernandez, Judith.en_US
dc.contributor.otherProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.date.accessioned2021-01-06T20:18:28Z
dc.date.available2021-01-06T20:18:28Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/129318
dc.descriptionThesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, September, 2020en_US
dc.descriptionCataloged from student-submitted PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 157-180).en_US
dc.description.abstractHuman-computer interaction has traditionally focused on interfaces that provide explicit visual, auditory, or haptic feedback. This thesis proposes a new type of user interface that uses scent as an implicit, less conscious output that influences the person's cognition and pairs it with implicit physiological information as the input to the system. Unlike other modalities such as sound or light, olfactory stimuli presented during sleep are less likely to awaken the user, and, during the daytime they can be subtle enough not to distract the user from their primary activity. Therefore, scent offers a unique opportunity to create novel interfaces and applications that extend from wake to sleep states. This thesis provides a framework that conceptualizes how these type of liminal interfaces fit within the broader field of HCI.en_US
dc.description.abstractIt posits that a continuum of possible human-computer interactions exists as the combination of 1) Implicit and Explicit inputs from the human to the computer, 2) Explicit or Implicit outputs from the machine to the human and 3) the level of consciousness of the user (such as during sleep). The dissertation exemplifies this framework with closed-loop olfactory interfaces that provide scent-feedback based on real-time user information during wakefulness and sleep. This research necessitated the development of new wearables, concepts, software, and designs that considerably improve on state of the art olfactometers. Current scent technologies used in sleep laboratories are not portable and require the use of nasal masks, large olfactometers, and a minimum of 22 wire attachments to track physiological information. As a result, they are not suitable for mobile, daytime applications, nor for home usage by non-expert users.en_US
dc.description.abstractIn contrast, the prototypes created for this thesis allow for wearable scent delivery and have been used by non-expert users in home settings during day and night. These devices have been validated through a series of user studies that show the usability of the prototypes and their significant effect on relaxation, sleep, and memory consolidation. This thesis presents the qualitative and quantitative results obtained in these studies using subjective reports and physiological monitoring.en_US
dc.description.statementofresponsibilityby Judith Amores Fernandez.en_US
dc.format.extent180 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectProgram in Media Arts and Sciencesen_US
dc.titleOlfactory interfaces : toward implicit human-computer interaction across the consciousness continuumen_US
dc.title.alternativeToward implicit human-computer interaction across the consciousness continuumen_US
dc.typeThesisen_US
dc.description.degreePh. D.en_US
dc.contributor.departmentProgram in Media Arts and Sciences (Massachusetts Institute of Technology)en_US
dc.identifier.oclc1227782732en_US
dc.description.collectionPh.D. Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciencesen_US
dspace.imported2021-01-06T20:18:27Zen_US
mit.thesis.degreeDoctoralen_US
mit.thesis.departmentMediaen_US


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