Redirected reaching in virtual reality : modeling, control & applications
Abstract/Contents
- Abstract
- Virtual reality (VR) systems are inherently limited by their inability to replicate physical reality. Even as technology advances, VR experiences will always be subject to the constraints of the user's hardware setup and external environment. However, the immersive nature of VR systems allows them to create convincing illusions that take advantage of our bias towards believing what we see. Reach redirection is one such illusory technique that influences where users believe their hand is in space. This is done by gradually offsetting the virtual representation of the user's hand during reach. Researchers have used this to alter the perceived properties of real-world objects and enable more physically ergonomic layouts of virtual environments. While there has been considerable research studying the usefulness and perceptibility of redirection, very little focus has been placed on how it works from a sensorimotor perspective. In this thesis, I apply a sensorimotor lens to the study of redirected interactions -- particularly through computational modeling -- to enable more robust and diverse redirection techniques that better handle the complexities of real-world interactions. First, I illustrate how modeling movement duration improves interactions with dynamic encountered-type haptic devices during redirected reaching. Next, I introduce a more adaptable, user-aware approach to redirection using real-time model predictive control. Finally, I present a stochastic sensorimotor simulation of redirected reaching and demonstrate how it can be used to gain insights about the effects of visual attention. Throughout this thesis, I highlight how incorporating sensorimotor control principles can improve the study of redirected reaching and further extend users' experience in VR beyond the physical limitations of reality.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Gonzalez, Eric Jordan |
|---|---|
| Degree supervisor | Follmer, Sean |
| Thesis advisor | Follmer, Sean |
| Thesis advisor | Kennedy, Monroe |
| Thesis advisor | Okamura, Allison |
| Degree committee member | Kennedy, Monroe |
| Degree committee member | Okamura, Allison |
| Associated with | Stanford University, Department of Mechanical Engineering |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Eric J. Gonzalez. |
|---|---|
| Note | Submitted to the Department of Mechanical Engineering. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/xx742cz8990 |
Access conditions
- Copyright
- © 2022 by Eric Jordan Gonzalez
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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