Abstract
The aim of Redirected Walking (RDW) is to redirect a person along their path of travel in a Virtual Environment (VE) in order to increase the virtual space that can be explored in a given tracked area. Among other techniques, the user is redirected on a curved real-world path while visually walking straight in the VE (curvature gain). In this paper, we describe two experiments we conducted to test and extend RDW techniques. In Experiment 1, we measured the effect of walking speed on the detection threshold for curvature of the walking path. In a head-mounted display (HMD) VE, we found a decreased sensitivity for curvature for the slowest walking speed. When participants walked at 0.75 m/s, their detection threshold was approximately 0.1m-1 (radius of approximately 10m). In contrast, for faster walking speeds (≥1.0m/s), we found a significantly lower detection threshold of approximately 0.036m -1 (radius of approximately 27m). In Experiment 2, we implemented many well known redirection techniques into one dynamic RDW application. We integrated a large virtual city model and investigated RDW for free exploration. Further, we implemented a dynamic RDW controller which made use of the results from Experiment 1 by dynamically adjusting the applied curvature gain depending on the actual walking velocity of the user. In addition, we investigated the possible role of avatars to slow the users down or make them rotate their heads while exploring. Both the dynamic curvature gain controller and the avatar controller were evaluated in Experiment 2. We measured the average distance that was walked before reaching the boundaries of the tracked area. The mean walked distance was significantly larger in the condition where the dynamic gain controller was applied. This distance increased from approximately 15m for static gains to approximately 22m for dynamic gains. This did not come at the cost of an increase in simulator sickness. Applying the avatar controller did reveal an effect on walking distance or simulator sickness.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - IEEE Virtual Reality |
| Pages | 151-158 |
| Number of pages | 8 |
| DOIs | |
| Publication status | Published - 2011 May 25 |
| Event | 18th IEEE Virtual Reality Conference, VR 2011 - Singapore, Singapore Duration: 2011 Mar 19 → 2011 Mar 23 |
Other
| Other | 18th IEEE Virtual Reality Conference, VR 2011 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 11/3/19 → 11/3/23 |
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Keywords
- Computer Graphics [I.3.7]: Three-Dimensional Graphics and RealismVirtual Reality
ASJC Scopus subject areas
- Engineering(all)
Cite this
Velocity-dependent dynamic curvature gain for redirected walking. / Neth, Christian T.; Souman, Jan L.; Engel, David; Kloos, Uwe; Bulthoff, Heinrich; Mohler, Betty J.
Proceedings - IEEE Virtual Reality. 2011. p. 151-158 5759454.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Velocity-dependent dynamic curvature gain for redirected walking
AU - Neth, Christian T.
AU - Souman, Jan L.
AU - Engel, David
AU - Kloos, Uwe
AU - Bulthoff, Heinrich
AU - Mohler, Betty J.
PY - 2011/5/25
Y1 - 2011/5/25
N2 - The aim of Redirected Walking (RDW) is to redirect a person along their path of travel in a Virtual Environment (VE) in order to increase the virtual space that can be explored in a given tracked area. Among other techniques, the user is redirected on a curved real-world path while visually walking straight in the VE (curvature gain). In this paper, we describe two experiments we conducted to test and extend RDW techniques. In Experiment 1, we measured the effect of walking speed on the detection threshold for curvature of the walking path. In a head-mounted display (HMD) VE, we found a decreased sensitivity for curvature for the slowest walking speed. When participants walked at 0.75 m/s, their detection threshold was approximately 0.1m-1 (radius of approximately 10m). In contrast, for faster walking speeds (≥1.0m/s), we found a significantly lower detection threshold of approximately 0.036m -1 (radius of approximately 27m). In Experiment 2, we implemented many well known redirection techniques into one dynamic RDW application. We integrated a large virtual city model and investigated RDW for free exploration. Further, we implemented a dynamic RDW controller which made use of the results from Experiment 1 by dynamically adjusting the applied curvature gain depending on the actual walking velocity of the user. In addition, we investigated the possible role of avatars to slow the users down or make them rotate their heads while exploring. Both the dynamic curvature gain controller and the avatar controller were evaluated in Experiment 2. We measured the average distance that was walked before reaching the boundaries of the tracked area. The mean walked distance was significantly larger in the condition where the dynamic gain controller was applied. This distance increased from approximately 15m for static gains to approximately 22m for dynamic gains. This did not come at the cost of an increase in simulator sickness. Applying the avatar controller did reveal an effect on walking distance or simulator sickness.
AB - The aim of Redirected Walking (RDW) is to redirect a person along their path of travel in a Virtual Environment (VE) in order to increase the virtual space that can be explored in a given tracked area. Among other techniques, the user is redirected on a curved real-world path while visually walking straight in the VE (curvature gain). In this paper, we describe two experiments we conducted to test and extend RDW techniques. In Experiment 1, we measured the effect of walking speed on the detection threshold for curvature of the walking path. In a head-mounted display (HMD) VE, we found a decreased sensitivity for curvature for the slowest walking speed. When participants walked at 0.75 m/s, their detection threshold was approximately 0.1m-1 (radius of approximately 10m). In contrast, for faster walking speeds (≥1.0m/s), we found a significantly lower detection threshold of approximately 0.036m -1 (radius of approximately 27m). In Experiment 2, we implemented many well known redirection techniques into one dynamic RDW application. We integrated a large virtual city model and investigated RDW for free exploration. Further, we implemented a dynamic RDW controller which made use of the results from Experiment 1 by dynamically adjusting the applied curvature gain depending on the actual walking velocity of the user. In addition, we investigated the possible role of avatars to slow the users down or make them rotate their heads while exploring. Both the dynamic curvature gain controller and the avatar controller were evaluated in Experiment 2. We measured the average distance that was walked before reaching the boundaries of the tracked area. The mean walked distance was significantly larger in the condition where the dynamic gain controller was applied. This distance increased from approximately 15m for static gains to approximately 22m for dynamic gains. This did not come at the cost of an increase in simulator sickness. Applying the avatar controller did reveal an effect on walking distance or simulator sickness.
KW - Computer Graphics [I.3.7]: Three-Dimensional Graphics and RealismVirtual Reality
UR - http://www.scopus.com/inward/record.url?scp=79956260861&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79956260861&partnerID=8YFLogxK
U2 - 10.1109/VR.2011.5759454
DO - 10.1109/VR.2011.5759454
M3 - Conference contribution
AN - SCOPUS:79956260861
SN - 9781457700361
SP - 151
EP - 158
BT - Proceedings - IEEE Virtual Reality
ER -