C03 | Immersive Virtual Environments
[completed]
Nina Flad, Max Planck Institute for Biological Cybernetics
Menja Scheer, Max Planck Institute for Biological Cybernetics
Alessandro Nesti, Max Planck Institute for Biological Cybernetics
Christiane Glatz, Max Planck Institute for Biological Cybernetics
Immersive virtual environments (IVEs) simulate real-world scenarios for purposes ranging from entertainment to safety-critical training (e.g., surgery, driving or flying). This project investigates how computationally demanding IVEs can be optimized to ensure realistic user performance, by focusing on how users seek out and process information for real-time operations. For this purpose, mobile gaze-tracking and EEG methods will be extended for use in IVEs. The context for research is aircraft simulation because it encompasses the rendering demands of a realistic world scene, intuitive visualization of in-vehicle instrumentation, and accurate synchronization of non-visual modalities (i.e., real motion).
Research Questions
How can users in IVEs be unobtrusively monitored without interrupting their activity?
How should visual information seeking and processing behavior be interpreted for the evaluation of visual computing?
How should visualizations be effectively combined with non-visual cues in a moving base simulator?
How are visualizations in IVE simulators relied on to support complex closed-loop control behavior?
Fig. 1: Immersive virtual environments provide visualisations in the form of a realistic world environment as well as abstract instruments. Both are important in supporting user interaction, especially in vehicle handling simulators (e.g., flight simulator). Gaze-tracking and electrophysiological recordings (e.g., EEG/ERP, heart-based measures) are respectively employed to evaluate how visual information is sought out and processed.
Publications
- M. Scheer, H. H. Bülthoff, and L. L. Chuang, “Auditory Task Irrelevance: A Basis for Inattentional Deafness,” Human Factors, vol. 60, Art. no. 3, 2018, doi: 10.1177/0018720818760919.
- T. Kosch, M. Funk, A. Schmidt, and L. L. Chuang, “Identifying Cognitive Assistance with Mobile Electroencephalography: A Case Study with In-Situ Projections for Manual Assembly.,” Proceedings of the ACM on Human-Computer Interaction (ACMHCI), vol. 2, pp. 11:1–11:20, 2018, doi: 10.1145/3229093.
- S. S. Borojeni, S. C. J. Boll, W. Heuten, H. H. Bülthoff, and L. L. Chuang, “Feel the Movement: Real Motion Influences Responses to Take-Over Requests in Highly Automated Vehicles,” in Proceedings of the CHI Conference on Human Factors in Computing Systems, R. L. Mandryk, M. Hancock, M. Perry, and A. L. Cox, Eds., ACM, 2018, pp. 246:1–246:13. doi: 10.1145/3173574.3173820.
- C. Glatz and L. L. Chuang, “The Time Course of Auditory Looming Cues in Redirecting Visuo-Spatial Attention,” Nature - Scientific Reports, vol. 9, pp. 743:1–743:10, 2018, doi: 10.1038/s41598-018-36033-8.
- A. Nesti, G. Rognini, B. Herbelin, H. H. Bülthoff, L. L. Chuang, and O. Blanke, “Modulation of Vection Latencies in the Full-Body Illusion,” PLoS ONE, vol. 13, Art. no. 12, 2018, doi: 10.1371/journal.pone.0209189.
- K. de Winkel, A. Nesti, H. Ayaz, and H. H. Bülthoff, “Neural Correlates of Decision Making on Whole Body Yaw Rotation: an fNIRS Study,” Neuroscience Letters, vol. 654, pp. 56–62, 2017, doi: 10.1016/j.neulet.2017.04.053.
- V. Schwind, P. Knierim, L. L. Chuang, and N. Henze, ““Where’s Pinky?”: The Effects of a Reduced Number of Fingers in Virtual Reality,” in Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), B. A. M. Schouten, P. Markopoulos, Z. O. Toups, P. A. Cairns, and T. Bekker, Eds., ACM, 2017, pp. 507–515. doi: 10.1145/3116595.3116596.
- J. Allsop, R. Gray, H. H. Bülthoff, and L. L. Chuang, “Eye Movement Planning on Single-Sensor-Single-Indicator Displays is Vulnerable to User Anxiety and Cognitive Load,” Journal of Eye Movement Research, vol. 10, Art. no. 5, 2017, doi: 10.16910/jemr.10.5.8.
- L. L. Chuang, C. Glatz, and S. S. Krupenia, “Using EEG to Understand why Behavior to Auditory In-vehicle Notifications Differs Across Test Environments,” in Proceedings of the International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI), S. Boll, B. Pfleging, B. Donmez, I. Politis, and D. R. Large, Eds., ACM, 2017, pp. 123–133. doi: 10.1145/3122986.3123017.
- A. Nesti, K. de Winkel, and H. H. Bülthoff, “Accumulation of Inertial Sensory Information in the Perception of Whole Body Yaw Rotation,” PloS ONE, vol. 12, Art. no. 1, 2017, doi: 10.1371/journal.pone.0170497.
- D. Weiskopf, M. Burch, L. L. Chuang, B. Fischer, and A. Schmidt, Eye Tracking and Visualization: Foundations, Techniques, and Applications. Berlin, Heidelberg: Springer, 2016. [Online]. Available: https://www.springer.com/de/book/9783319470238
- M. Scheer, H. H. Bülthoff, and L. L. Chuang, “Steering Demands Diminish the Early-P3, Late-P3 and RON Components of the Event-Related Potential of Task-Irrelevant Environmental Sounds,” in Frontiers in Human Neuroscience, F. in Human Neuroscience, Ed., 2016, pp. 73:1–73:15. doi: 10.3389/fnhum.2016.00073.
- L. Lischke, S. Mayer, K. Wolf, N. Henze, H. Reiterer, and A. Schmidt, “Screen arrangements and interaction areas for large display work places,” in PerDis ’16 Proceedings of the 5th ACM International Symposium on Pervasive Displays, ACM, Ed., ACM, 2016, pp. 228–234. doi: 10.1145/2914920.2915027.
- N. Flad, J. C. Ditz, A. Schmidt, H. H. Bülthoff, and L. L. Chuang, “Data-Driven Approaches to Unrestricted Gaze-Tracking Benefit from Saccade Filtering,” in Proceedings of the Second Workshop on Eye Tracking and Visualization (ETVIS), M. Burch, L. L. Chuang, and A. T. Duchowski, Eds., IEEE, 2016, pp. 1–5. [Online]. Available: https://ieeexplore.ieee.org/document/7851156
- N. Flad, T. Fomina, H. H. Bülthoff, and L. L. Chuang, “Unsupervised Clustering of EOG as a Viable Substitute for Optical Eye Tracking,” in Eye Tracking and Visualization: Foundations, Techniques, and Applications, M. Burch, L. L. Chuang, B. D. Fisher, A. Schmidt, and D. Weiskopf, Eds., in Mathematics and Visualization. , Springer International Publishing, 2015, pp. 151–167. doi: 10.1007/978-3-319-47024-5_9.
- L. L. Chuang and H. H. Bülthoff, “Towards a Better Understanding of Gaze Behavior in the Automobile,” in Position papers of the workshops at AutomotiveUI′15. Sep. 2015. [Online]. Available: https://www.auto-ui.org/15/p/workshops/2/8_Towards%20a%20Better%20Understanding%20of%20Gaze%20Behavior%20in%20the%20Automobile_Chuang.pdf
- L. L. Chuang, “Error Visualization and Information-Seeking Behavior for Air-Vehicle Control,” in Foundations of Augmented Cognition. AC 2015. Lecture Notes in Computer Science, vol. 9183, D. Schmorrow and C. M. Fidopiastis, Eds., Springer, 2015, pp. 3–11. doi: 10.1007/978-3-319-20816-9_1.
Project Group A
Models and Measures
Completed
Project Group B
Adaptive Algorithms
Completed
Project Group C
Interaction
Completed
Project Group D
Applications
Completed
FOR SCIENTISTS
Projects
People
Publications
Graduate School
Equal Opportunity
FOR PUPILS
PRESS AND MEDIA
SOCIAL MEDIA
© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.