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.
|Number of pages||6|
|Publication status||Published - Apr 2020|
|Event||CHI 2020 : Workshop 37 on Exploring Potentially Abusive Ethical, Social and Political Implications of Mixed Reality in HCI - Honolulu, United States|
Duration: 25 Apr 2020 → 30 Apr 2020
|Period||25/04/20 → 30/04/20|
|Other||This workshop is aimed at starting an active exploration of abusive, ethical, social and political scenarios of MR research inside the HCI community. With an HCI lens, workshop participants will engage in critical reviews of emerging MR technologies and applications and develop a joint research agenda to address them.|
Is there a risk of abuse in the future proliferation of mixed reality headsets?
What ethical issues will arise, when the digital world is permanently in the eye sight of the users?
In recent years, Mixed Reality (MR) headsets have increasingly made advances in terms of capability, affordability and end-user adoption, slowly becoming everyday technology. HCI research typically explores positive aspects of these technologies, focusing on interaction, presence and immersive experiences. However, such technological advances and paradigm shifts often fail to consider the ``dark patterns'', with potential abusive scenarios, made possible by new technologies (cf. smartphone addiction, social media anxiety disorder). While these topics are getting recent attention in related fields and with the general population, this workshop is aimed at starting an active exploration of abusive, ethical, social and political scenarios of MR research inside the HCI community. With an HCI lens, workshop participants will engage in critical reviews of emerging MR technologies and applications and develop a joint research agenda to address them.
Göbel, F., Kurzhals, K., Raubal, M., & Schinazi, V. R. (2020). Gaze-Aware Mixed-Reality: Addressing Privacy Issues with Eye Tracking. Paper presented at CHI 2020 , Honolulu, United States. https://doi.org/10.3929/ethz-b-000409514