The influence of a self-avatar on space and body perception in immersive virtual reality


Book Description

Technologische Fortschritte in der Computergrafik, dem dreidimensionalen Scannen und in Motion-Tracking-Technologien haben zu einem erhöhten Einsatz von Selbst-Avataren in immersiven virtuellen Realitäten (VR) beigetragen. Selbst-Avatare werden zum Beispiel in den Bereichen Visualisierung und Simulation, aber auch in klinischen Anwendungen oder für Unterhaltungszwecke eingesetzt. Deshalb ist es wichtig neue Erkenntnisse über die Wahrnehmung des eigenen Körpers, des Selbst-Avatars und der räumlichen Wahrnehmung des Benutzers zu gewinnen, sowie den Einfluss des Selbst-Avatars auf die räumliche Wahrnehmung in der virtuellen Welt zu untersuchen. Mit Hilfe von moderner VR-Technologie habe ich untersucht wie Veränderungen des Selbst-Avatars die Wahrnehmung des eigenen Körpers und des Raumes verändern. Die Ergebnisse zeigen, dass Selbst-Avatare nicht genau die gleichen Dimensionen wie der Körper des Benutzers haben müssen, damit sich der Benutzer mit seinem Selbst-Avatar identifizieren kann.




The Role of Visual Cues in Body Size Estimation


Book Description

Our body is central to what we define as our self. The mental representation of our physical appearance, often called body image, can have a great influence on our psychological health. Given the increase in body mass index worldwide and the societal pressure to conform to body ideals, it is important to gain a better understanding of the nature of body representations and factors that play a role in body size estimation tasks. This doctoral thesis takes a multifaceted approach for investigating the role of different visual cues in the estimation of own body size and shape by using a variety of experimental methods and novel state-of-the-art computer graphics methods. Two visual cues were considered: visual perspective and identity cues in the visual appearance of a body (shape, and color-information), as well as their interactions with own body size and gender. High ecological validity was achieved by testing body size estimation in natural settings, when looking into a mirror, and by generating biometrically plausible virtual bodies based on 3D body scans and statistical body models, and simulating real-world scenarios in immersive virtual reality.




Measuring, modelling and minimizing perceived motion incongruence for vehicle motion simulation


Book Description

Humans always wanted to go faster and higher than their own legs could carry them. This led them to invent numerous types of vehicles to move fast over land, water and air. As training how to handle such vehicles and testing new developments can be dangerous and costly, vehicle motion simulators were invented. Motion-based simulators in particular, combine visual and physical motion cues to provide occupants with a feeling of being in the real vehicle. While visual cues are generally not limited in amplitude, physical cues certainly are, due to the limited simulator motion space. A motion cueing algorithm (MCA) is used to map the vehicle motions onto the simulator motion space. This mapping inherently creates mismatches between the visual and physical motion cues. Due to imperfections in the human perceptual system, not all visual/physical cueing mismatches are perceived. However, if a mismatch is perceived, it can impair the simulation realism and even cause simulator sickness. For MCA design, a good understanding of when mismatches are perceived, and ways to prevent these from occurring, are therefore essential. In this thesis a data-driven approach, using continuous subjective measures of the time-varying Perceived Motion Incongruence (PMI), is adopted. PMI in this case refers to the effect that perceived mismatches between visual and physical motion cues have on the resulting simulator realism. The main goal of this thesis was to develop an MCA-independent off-line prediction method for time-varying PMI during vehicle motion simulation, with the aim of improving motion cueing quality. To this end, a complete roadmap, describing how to measure and model PMI and how to apply such models to predict and minimize PMI in motion simulations is presented. Results from several human-in-the-loop experiments are used to demonstrate the potential of this novel approach.




Research Anthology on Virtual Environments and Building the Metaverse


Book Description

With the advent of virtual environments and communities, the metaverse has been rapidly expanding in recent years as businesses and industries have begun to see the value and opportunities this technology provides. In order to ensure this technology is utilized to its full potential, further study on the best practices, challenges, and future directions is required. The Research Anthology on Virtual Environments and Building the Metaverse considers the latest research regarding the metaverse and discusses potential issues and benefits of the technology. The book also examines strategies and tactics businesses and companies can use when implementing the metaverse into their operations. Covering key topics such as immersion, augmented reality, and virtual worlds, this major reference work is ideal for computer scientists, business owners, managers, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.




Where are you? Self- and body part localization using virtual reality setups


Book Description

This volume presents a line of original experimental studies on the bodily self, investigating where people locate themselves in their bodies and how accurate they are at localizing their body parts. So far, it was not well known whether people locate themselves in one or more specific regions of their bodies. On the other hand, some systematic distortions in indicating bodily locations were already documented. In the present studies, participants were therefore asked to indicate their self-locations, as well as the locations of several of their body parts, using a self-directed, first-person perspective pointing paradigm in various virtual reality (VR) setups (different head-mounted displays and a large-screen immersive display). Overall, participants were found to locate themselves mainly in the (upper) face and the (upper) torso. However, striking differences in self-localization were found when testing in different VR setups. Upon further investigation, these differences were found to be foremost due to inaccuracies in body part localization. When taking these inaccuracies into account, differences between setups—and also with self-localization outside of VR—largely disappear. Another striking finding was that providing participants—in between pointing phases—with information about their bodies in the form of a real-time animated self-avatar, did not make them more accurate at locating their own body parts. While manipulating their viewpoint to chest-height of their self-avatar did shift the afterwards indicated locations of their own body parts upwards, towards where they were seen on the avatar. Potential explanations for the various new findings, also from tasks outside of VR, are discussed. Taken together, this volume suggests a differential involvement of multi-sensory information processing in experienced self-location within the body and the ability to locate body parts. Self-localization seems to be less flexible, possibly because it is strongly grounded in the 'bodily senses', while body part localization appears more adaptable to the manipulation of sensory stimuli, at least in the visual modality.










HCI International 2017 – Posters' Extended Abstracts


Book Description

The two-volume set CCIS 713 and CCIS 714 contains the extended abstracts of the posters presented during the 19th International Conference on Human-Computer Interaction, HCI International 2017, held in Vancouver, BC, Canada, in July 2017. HCII 2017 received a total of 4340 submissions, of which 1228 papers were accepted for publication after a careful reviewing process. The 177 papers presented in these two volumes were organized in topical sections as follows: Part I: Design and evaluation methods, tools and practices; novel interaction techniques and devices; psychophisiological measuring and monitoring; perception, cognition and emotion in HCI; data analysis and data mining in social media and communication; ergonomics and models in work and training support. Part II: Interaction in virtual and augmented reality; learning, games and gamification; health, well-being and comfort; smart environments; mobile interaction; visual design and visualization; social issues and security in HCI.




Research Handbook on Artificial Intelligence and Communication


Book Description

This forward-looking Research Handbook makes an insightful contribution to the emerging field of studies on communication of, by and with AI. Bringing together state-of-the-art research from over 50 leading international scholars across various fields, it provides a comprehensive overview of the complex intersections between AI and communication.