Open access
Datum
2020Typ
- Working Paper
ETH Bibliographie
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. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000409514Publikationsstatus
publishedVerlag
ETH ZurichThema
Mixed Reality; Eye Tracking; Gaze-based Interaction; PrivacyOrganisationseinheit
03901 - Raubal, Martin / Raubal, Martin
Zugehörige Publikationen und Daten
Is cited by: https://doi.org/10.3929/ethz-b-000513243
Anmerkungen
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).ETH Bibliographie
yes
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