Enhancing Security and Privacy in Head-Mounted Augmented Reality Systems Using Eye Gaze

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dc.contributor.authorCorbett, Matthewen
dc.contributor.committeechairJi, Boen
dc.contributor.committeememberLou, Wenjingen
dc.contributor.committeememberShang, Jiachengen
dc.contributor.committeememberDavid-John, Brendan Matthewen
dc.contributor.committeememberRaymond, David Richarden
dc.contributor.departmentComputer Science and#38; Applicationsen
dc.date.accessioned2024-04-24T16:47:23Zen
dc.date.available2024-04-24T16:47:23Zen
dc.date.issued2024-04-22en
dc.description.abstractAugmented Reality (AR) devices are set apart from other mobile devices by the immersive experience they offer. Specifically, head-mounted AR devices can accurately sense and understand their environment through an increasingly powerful array of sensors such as cameras, depth sensors, eye gaze trackers, microphones, and inertial sensors. The ability of these devices to collect this information presents both challenges and opportunities to improve existing security and privacy techniques in this domain. Specifically, eye gaze tracking is a ready-made capability to analyze user intent, emotions, and vulnerability, and as an input mechanism. However, modern AR devices lack systems to address their unique security and privacy issues. Problems such as lacking local pairing mechanisms usable while immersed in AR environments, bystander privacy protections, and the increased vulnerability to shoulder surfing while wearing AR devices all lack viable solutions. In this dissertation, I explore how readily available eye gaze sensor data can be used to improve existing methods for assuring information security and protecting the privacy of those near the device. My research has presented three new systems, BystandAR, ShouldAR, and GazePair that each leverage user eye gaze to improve security and privacy expectations in or with Augmented Reality. As these devices grow in power and number, such solutions are necessary to prevent perception failures that hindered earlier devices. The work in this dissertation is presented in the hope that these solutions can improve and expedite the adoption of these powerful and useful devices.en
dc.description.abstractgeneralAugmented Reality (AR) devices are set apart from other mobile devices by the immersive experience they offer. The ability of these devices to collect information presents challenges and opportunities to improve existing security and privacy techniques in this domain. In this dissertation, I explore how readily available eye gaze sensor data can be used to improve existing methods for assuring security and protecting the privacy of those near the device. My research has presented three new systems, BystandAR, ShouldAR, and GazePair that each leverage user eye gaze to improve security and privacy expectations in or with Augmented Reality. As these devices grow in power and number, such solutions are necessary to prevent perception failures that hindered earlier devices. The work in this dissertation is presented in the hope that these solutions can improve and expedite the adoption of these powerful and useful devices.en
dc.description.degreeDoctor of Philosophyen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:39734en
dc.identifier.urihttps://hdl.handle.net/10919/118653en
dc.language.isoenen
dc.publisherVirginia Techen
dc.rightsCreative Commons Attribution-NonCommercial 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/en
dc.subjectprivacyen
dc.subjectsecurityen
dc.subjectaugmented realityen
dc.subjecteye gaze trackingen
dc.titleEnhancing Security and Privacy in Head-Mounted Augmented Reality Systems Using Eye Gazeen
dc.typeDissertationen
thesis.degree.disciplineComputer Science & Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.nameDoctor of Philosophyen

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