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The goal of this project is to explore how much we can learn about physical objects a user is looking at by observing gaze depth. We envision a symbiotic scenario, where current technology (e.g. depth cameras) is extended with "human sensing data". Here, a depth camera is able to create a rough understanding of a static environment and gaze depth is merged into the model by leveraging unique propetries of human vision.
Augmented and virtual reality (AR/VR) head-mounted display (HMD) applications inherently rely on three dimensional information. In contrast to gaze interaction on a two dimensional screen, gaze interaction in AR and VR therefore also requires to estimate a user's gaze in 3D (3D Gaze).
While first applications, such as foveated rendering, hint at the compelling potential of combining HMDs and gaze, a systematic analysis is missing. To fill this gap, we present the first design space for gaze interaction on HMDs.
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| Weblink: | /in/mi/hci/projects/attention-of-many-observers-visualized-by-eye-movements/ |
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| ISBN: | 9781450371339 |
| Datei: | /fileadmin/website_uni_ulm/iui.inst.100/institut/mitarbeiterbereiche/hirzle/Publications/ETRA_2020_-_A_Survey_of_Digital_Eye_Strain_in_Gaze-Based_Interactive_Systems.pdf |
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| Weblink: | /in/mi/mi-forschung/uulm-hci/projects/vrspinning/ |
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