- AutorIn
- M.Sc. Carsten Rudolph Technische Universität Chemnitz
- Titel
- TechnoSapiens: Augmenting Humans with Technology in Diminished Reality
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:ch1-qucosa2-1012935
- Erstveröffentlichung
- 2026
- Datum der Einreichung
- 21.10.2025
- Datum der Verteidigung
- 10.12.2025
- DOI
- https://doi.org/10.60687/2026-0003
- Abstract (EN)
- Following recent social trends and technological advancements we can expect a future, where more humans willingly merge their bodies with different forms of technology. Anticipating this trend, fundamental research on design, functionality and perception is required. Virtual simulations promise to be a viable tool to aid in such research, as they can simulate infeasible or impossible to manufacture devices and thus circumvent current technological limitations. Mixed Reality provides a well-established framework for realizing such applications, as it eliminates the requirement of simulating complex nuances of real-world environments. Instead, the simulation can be superimposed onto the user's surroundings. However, for a convincing blending of virtual bionic devices and the user's body a prior partial removal or concealing of the real-life body part is required -- a process called Diminished Reality. In interactive scenarios, this problem poses a significant challenge in the field of computer graphics. This dissertation first introduces TechnoSapiens, an interactive system that can replace the user's arm with a virtual bionic prosthesis in an Augmented Reality environment in real-time using DR approaches. The system is then extended to provide multi-sensory feedback to the user, including visual and haptic stimuli. Furthermore, the system can be distributed to a co-located, cooperative multi-user environment. In a series of evaluation and user studies, the effectiveness of the system for the purpose of simulating believable and convincing body augmentations is demonstrated. Applied to a cooperative multi-user environment, we show that the combination of DR and AR challenges the current understanding of established concepts related to perception in Virtual and Mixed Reality.
- Freie Schlagwörter (EN)
- Mixed Reality, Computer Graphics, Diminished Reality, Social Perception, Human Computer Interaction
- Klassifikation (DDC)
- 006.8
- Normschlagwörter (GND)
- Mixed Reality, Computergrafik, Soziale Wahrnehmung
- GutachterIn
- Prof. Dr. Guido Brunnett
- Prof. Dr. Wolfgang Broll
- Prof. Dr. Bertolt Meyer
- BetreuerIn Hochschule / Universität
- Prof. Dr. Guido Brunnett
- Den akademischen Grad verleihende / prüfende Institution
- Technische Universität Chemnitz, Chemnitz
- Version / Begutachtungsstatus
- angenommene Version / Postprint / Autorenversion
- URN Qucosa
- urn:nbn:de:bsz:ch1-qucosa2-1012935
- Veröffentlichungsdatum Qucosa
- 07.01.2026
- Dokumenttyp
- Dissertation
- Sprache des Dokumentes
- Englisch
- Lizenz / Rechtehinweis
CC BY 4.0- Inhaltsverzeichnis
List of Figures List of Tables Acronyms 1. Introduction 1.1. Contributions 2. Preliminaries and Related Work 2.1. Virtual, Augmented and Mixed Reality 2.2. The Diminished Reality Pipeline 2.2.1. Region of Interest Detection 2.2.2. Hidden View Generation 2.3. Psychological Concepts of User Experience in Virtual and Mixed Reality 2.3.1. Embodiment 2.4. Direct Hand Interaction 2.4.1. Hand Tracking 2.4.2. Hand Pose Retargeting 2.4.3. Physics-based Hand Interaction 2.5. Haptic and Tactile Feedback 2.6. Collaboration in Mixed Reality 2.7. Similar Applications 2.7.1. Body Augmentation in Mixed Reality 2.7.2. Prosthesis Simulation in Mixed Reality 3. Interactive Prosthesis Simulation in Diminished Reality 3.1. Implementation 3.1.1. Technology Overview 3.1.2. Diminished Reality 3.1.3. Hand Pose Retargeting 3.1.4. Visualization 3.1.5. Portable TechnoSapiens in Augmented Virtuality 3.2. Study 3.2.1. Prosthesis Design 3.2.2. Experiment 3.3. Evaluation 3.3.1. Sample 3.3.2. Measures 3.3.3. Results 3.4. Discussion 4. Providing a Multi-Sensory Experience of Touch 4.1. Implementation 4.1.1. Physics-based Prosthesis Simulation 4.1.2. Data Glove 4.2. Study 4.2.1. Study Design 4.3. Evaluation 4.3.1. Sample 4.3.2. Measures 4.3.3. Data Analysis 4.3.4. Results 4.4. Discussion 5. A Co-Located Multi-User Diminished Reality 5.1. Perceived Embodiment of the Other 5.2. Implementation 5.2.1. Hardware 5.2.2. Pose Tracking 5.2.3. Diminished Reality 5.3. Study 5.3.1. Application 5.4. Evaluation 5.4.1. Sample 5.4.2. Measures 5.4.3. Results 5.5. Discussion 6. Discussion Glossary Bibliography Apendices