Augmented-Genomics: Protecting privacy for clinical genomics with inferential interfaces

Eran Toch, Dan Linenberg, Netta Rager, Daya Sellman, Tal Florentin, Noam Shomron

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Recent advances in genetic technology enable large-scale genome sequencing, creating new avenues for research and clinical care. At the same time, these advances raise growing concerns about data protection and privacy. In this demonstration, we present Augmented-Genomics, a system that puts the individuals in control over their genetic information. To envision user-controllable privacy in the hospital, and in other complex clinical situations, we demonstrate several techniques accessible through a mobile application. The system infers the risk of exposing certain parts of the genome and provide a simple interface for users to set their desired level of exposure. Patients and caregivers (such as doctors) exchange visual keys that are used to decrypt genomic data while indirectly fostering discussion and negotiation over the patient’s privacy. After the patient provides the permission, the caregiver can access information about essential genes and mutations through a mobile interface or through an augmented reality glasses.

Original languageEnglish
Title of host publicationIUI 2018 - Companion of the 23rd International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450355711
DOIs
StatePublished - 5 Mar 2018
Event23rd International Conference on Intelligent User Interfaces, IUI 2018 - Tokyo, Japan
Duration: 7 Mar 201811 Mar 2018

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference23rd International Conference on Intelligent User Interfaces, IUI 2018
Country/TerritoryJapan
CityTokyo
Period7/03/1811/03/18

Funding

FundersFunder number
Edmond J. Safra Center for Ethics, Harvard University
Heart Research Institute

    Keywords

    • Genetic data
    • Mobile applications
    • Usable privacy

    Fingerprint

    Dive into the research topics of 'Augmented-Genomics: Protecting privacy for clinical genomics with inferential interfaces'. Together they form a unique fingerprint.

    Cite this