Using ego motion feedback to improve the immersion in virtual reality environments
- For any kind of assistant systems, the ability to interact with the human operator and taking into account his or her assumptions and expectations, is the basis for a reasonable behavior. As a consequence the human behavior have to be studied in order to generate driver models that are learned from human driving data. In this work we focus on the improvement of the immersion in driving simulation environment by developing and implementing a cheap and efficient method for head tracking. We also explain why head tracking feedback is crucial for the quality of collected behavioural data, especially for simulators with close screen distances.
Author: | Sebastian Noth, Ioannis Iossifidis, Eva Schrowangen |
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URL: | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5756934 / |
Parent Title (English): | ISR 2010 (41st International Symposium on Robotics) and ROBOTIK 2010 (6th German Conference on Robotics) |
Document Type: | Conference Proceeding |
Language: | English |
Year of Completion: | 2010 |
Release Date: | 2019/04/29 |
First Page: | 1172 |
Last Page: | 1177 |
Institutes: | Fachbereich 1 - Institut Informatik |
DDC class: | 000 Allgemeines, Informatik, Informationswissenschaft / 000 Allgemeines, Wissenschaft |
Licence (German): | ![]() |