Effects of display lag on vection and presence in the Oculus Rift HMD

Just Another Media Cluster?

MedienWirtschaft ◽

10.15358/1613-0669-2019-2-22 ◽

2019 ◽

Vol 16 (2) ◽

pp. 22-31

Author(s):

Christian Zabel ◽

Gernot Heisenberg

Keyword(s):

Virtual Reality ◽

Augmented Reality ◽

Oculus Rift ◽

Pokémon Go

Getrieben durch populäre Produkte und Anwendungen wie Oculus Rift, Pokémon Go oder der Samsung Gear stößt Virtual Reality, Augmented Reality und auch Mixed Reality auf zunehmend großes Interesse. Obwohl die zugrunde liegenden Technologien bereits seit den 1990er Jahren eingesetzt werden, ist eine breitere Adoption erst seit relativ kurzer Zeit zu beobachten. In der Folge ist ein sich schnell entwickelndes Ökosystem für VR und AR entstanden (Berg & Vance, 2017). Aus einer (medien-) politischen Perspektive interessiert dabei, welche Standortfaktoren die Ansiedlung und Agglomeration dieser Firmen begünstigen. Da die Wertschöpfungsaktivitäten sowohl hinsichtlich der Zielmärkte als auch der Leistungserstellung (z. B. starker Einsatz von IT und Hardware in der Produkterstellung) von denen klassischer Medienprodukte deutlich abweichen, kann insbesondere gefragt werden, ob die VR-, MR- und AR-Unternehmen mit Blick auf die Ansiedlungspolitik als Teil der Medienbranche aufzufassen sind und somit auf die für Medienunternehmen besonders relevanten Faktoren in ähnlichem Maße reagieren. Der vorliegende Aufsatz ist das Ergebnis eines Forschungsprojekts im Auftrag des Mediennetzwerks NRW, einer Tochterfirma der Film- und Medienstiftung NRW.

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Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

Sensors ◽

10.3390/s21010026 ◽

2020 ◽

Vol 21 (1) ◽

pp. 26

Author(s):

David González-Ortega ◽

Francisco Javier Díaz-Pernas ◽

Mario Martínez-Zarzuela ◽

Míriam Antón-Rodríguez

Keyword(s):

Virtual Reality ◽

Comparative Analysis ◽

Driving Simulator ◽

Estimation Method ◽

Estimation Methods ◽

Gaze Estimation ◽

Driving Simulators ◽

Oculus Rift ◽

Gaze Patterns ◽

And Performance

Driver’s gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers’ gaze patterns to their features and performance. In this paper, we present two gaze region estimation modules integrated in a driving simulator. One uses the 3D Kinect device and another uses the virtual reality Oculus Rift device. The modules are able to detect the region, out of seven in which the driving scene was divided, where a driver is gazing at in every route processed frame. Four methods were implemented and compared for gaze estimation, which learn the relation between gaze displacement and head movement. Two are simpler and based on points that try to capture this relation and two are based on classifiers such as MLP and SVM. Experiments were carried out with 12 users that drove on the same scenario twice, each one with a different visualization display, first with a big screen and later with Oculus Rift. On the whole, Oculus Rift outperformed Kinect as the best hardware for gaze estimation. The Oculus-based gaze region estimation method with the highest performance achieved an accuracy of 97.94%. The information provided by the Oculus Rift module enriches the driving simulator data and makes it possible a multimodal driving performance analysis apart from the immersion and realism obtained with the virtual reality experience provided by Oculus.

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Utilization of the Oculus Rift HMD in Mobile Robot Teleoperation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.555.199 ◽

2014 ◽

Vol 555 ◽

pp. 199-208 ◽

Cited By ~ 19

Author(s):

Tomáš Kot ◽

Petr Novák

Keyword(s):

User Interface ◽

Remote Control ◽

Mobile Robots ◽

Graphical User Interface ◽

Additional Data ◽

Mobile Robotics ◽

3D Display ◽

Oculus Rift ◽

Head Mounted Display ◽

In The Beginning

This paper mentions some problems related to utilization of a head-mounted display (HMD) for remote control of mobile robots by a human operator and also presents a possible solution. Considered is specifically the new HMD device called Oculus Rift, which is a very interesting device because of its great parameters and low price. The device is described in the beginning, together with some of the specific principles of the Oculus 3D display. Then follows the design of a new graphical user interface for teleoperation, with main focus on visualization of stereoscopic images from robot cameras. Demonstrated is also a way how to display additional data and information to the operator. The overall aim is to create a comfortable and highly effective interface suitable both for exploration and manipulation tasks in mobile robotics.

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Who is in the Room? Notification for Intrusions While in Virtual Reality

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641118 ◽

2020 ◽

Vol 64 (1) ◽

pp. 521-525

Author(s):

Aaron Crowson ◽

Zachary H. Pugh ◽

Michael Wilkinson ◽

Christopher B. Mayhorn

Keyword(s):

Virtual Reality ◽

Visual Field ◽

Physical World ◽

Visual Modality ◽

Auditory Modality ◽

Oculus Rift ◽

Head Mounted Display ◽

Sensory Modalities ◽

Orientation Type

The development of head-mounted display virtual reality systems (e.g., Oculus Rift, HTC Vive) has resulted in an increasing need to represent the physical world while immersed in the virtual. Current research has focused on representing static objects in the physical room, but there has been little research into notifying VR users of changes in the environment. This study investigates how different sensory modalities affect noticeability and comprehension of notifications designed to alert head-mounted display users when a person enters his/her area of use. In addition, this study investigates how the use of an orientation type notification aids in perception of alerts that manifest outside a virtual reality users’ visual field. Results of a survey indicated that participants perceived the auditory modality as more effective regardless of notification type. An experiment corroborated these findings for the person notifications; however, the visual modality was in practice more effective for orientation notifications.

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