Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Virtual, Augmented and Mixed Reality |
| Untertitel | 13th International Conference, VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings |
| Herausgeber/-innen | Jessie Y. Chen, Gino Fragomeni |
| Herausgeber (Verlag) | Springer Science and Business Media Deutschland GmbH |
| Seiten | 18-31 |
| Seitenumfang | 14 |
| ISBN (Print) | 9783030775988 |
| Publikationsstatus | Veröffentlicht - 2021 |
| Veranstaltung | 13th International Conference on Virtual, Augmented and Mixed Reality: VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021 - Virtual, Online Dauer: 24 Juli 2021 → 29 Juli 2021 |
Publikationsreihe
| Name | Lecture Notes in Computer Science |
|---|---|
| Band | 12770 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
Shared spaces are regulation free, mixed traffic environments supporting social interactions between pedestrian, cyclist and vehicles. Even when these spaces are designed to foster safety supported by reduced traffic speeds, unforeseen collisions and priority conflicts are always an open question. While AR can be used to realise virtual pedestrian lanes and traffic signals, the change in pedestrian motion dynamics using such approaches needs to be understood. This work highlights an exploratory study to evaluate how speed and path of pedestrians are impacted when using an augmented reality based virtual traffic light interface to control collisions in pedestrian motion. To achieve this objective we analyse the motion information from controlled experiments, replicating pedestrian motion on a lane supported by a stop and go interface and including scenarios such as confronting a crossing pedestrian. Our statistical and quantitative analysis gives some early insights on pedestrian control using body worn AR systems
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- BibTex
- RIS
Virtual, Augmented and Mixed Reality: 13th International Conference, VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Proceedings. Hrsg. / Jessie Y. Chen; Gino Fragomeni. Springer Science and Business Media Deutschland GmbH, 2021. S. 18-31 (Lecture Notes in Computer Science; Band 12770 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Exploratory Study on the Use of Augmentation for Behavioural Control in Shared Spaces
AU - Kamalasanan, Vinu
AU - Schewe, Frederik
AU - Sester, Monika
AU - Vollrath, Mark
PY - 2021
Y1 - 2021
N2 - Shared spaces are regulation free, mixed traffic environments supporting social interactions between pedestrian, cyclist and vehicles. Even when these spaces are designed to foster safety supported by reduced traffic speeds, unforeseen collisions and priority conflicts are always an open question. While AR can be used to realise virtual pedestrian lanes and traffic signals, the change in pedestrian motion dynamics using such approaches needs to be understood. This work highlights an exploratory study to evaluate how speed and path of pedestrians are impacted when using an augmented reality based virtual traffic light interface to control collisions in pedestrian motion. To achieve this objective we analyse the motion information from controlled experiments, replicating pedestrian motion on a lane supported by a stop and go interface and including scenarios such as confronting a crossing pedestrian. Our statistical and quantitative analysis gives some early insights on pedestrian control using body worn AR systems
AB - Shared spaces are regulation free, mixed traffic environments supporting social interactions between pedestrian, cyclist and vehicles. Even when these spaces are designed to foster safety supported by reduced traffic speeds, unforeseen collisions and priority conflicts are always an open question. While AR can be used to realise virtual pedestrian lanes and traffic signals, the change in pedestrian motion dynamics using such approaches needs to be understood. This work highlights an exploratory study to evaluate how speed and path of pedestrians are impacted when using an augmented reality based virtual traffic light interface to control collisions in pedestrian motion. To achieve this objective we analyse the motion information from controlled experiments, replicating pedestrian motion on a lane supported by a stop and go interface and including scenarios such as confronting a crossing pedestrian. Our statistical and quantitative analysis gives some early insights on pedestrian control using body worn AR systems
KW - Augmented control
KW - Pedestrian safety
KW - Shared spaces
UR - http://www.scopus.com/inward/record.url?scp=85112139830&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-77599-5_2
DO - 10.1007/978-3-030-77599-5_2
M3 - Conference contribution
AN - SCOPUS:85112139830
SN - 9783030775988
T3 - Lecture Notes in Computer Science
SP - 18
EP - 31
BT - Virtual, Augmented and Mixed Reality
A2 - Chen, Jessie Y.
A2 - Fragomeni, Gino
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2021, Held as Part of the 23rd HCI International Conference, HCII 2021
Y2 - 24 July 2021 through 29 July 2021
ER -