Open access
Date
2020Type
- Working Paper
ETH Bibliography
yes
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Abstract
Current Mixed Reality (MR) systems rely on a variety of sensors (e.g., cameras, eye tracking, GPS) to create immersive experiences. Data collected by these sensors are necessary to generate detailed models of a user and the environment that allow for different interactions with the virtual and the real world. Generally, these data contain sensitive information about the user, objects, and other people that make up the interaction. This is particularly the case for MR systems with eye tracking, because these devices are capable of inferring the identity and cognitive processes related to attention and arousal of a user. The goal of this position paper is to raise awareness on privacy issues that result from aggregating user data from multiple sensors in MR. Specifically, we focus on the challenges that arise from collecting eye tracking data and outline different ways gaze data may contribute to alleviate some of the privacy concerns from aggregating sensor data. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000409514Publication status
publishedPublisher
ETH ZurichSubject
Mixed Reality; Eye Tracking; Gaze-based Interaction; PrivacyOrganisational unit
03901 - Raubal, Martin / Raubal, Martin
Related publications and datasets
Is cited by: https://doi.org/10.3929/ethz-b-000513243
Notes
Paper should have been presented at CHI 2020 Workshop on Exploring Potentially Abusive Ethical, Social and Political Implications of Mixed Reality in HCI on April 25-30, 2020, Honolulu, HI, USA.
Workshops and conferencerence were cancelled due to Corona virus (COVID-19).More
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ETH Bibliography
yes
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