Robert Trisnadi



Andrea Bönsch, Robert Trisnadi, Jonathan Wendt, Tom Vierjahn, Torsten Wolfgang Kuhlen
Proceedings of 23rd ACM Symposium on Virtual Reality Software and Technology (VRST) 2017

Controlling user-agent-interactions by means of an external operator includes selecting the virtual interaction partners fast and faultlessly. However, especially in immersive scenes with a large number of potential partners, this task is non-trivial.

Thus, we present a score-based recommendation system supporting an operator in the selection task. Agents are recommended as potential partners based on two parameters: the user’s distance to the agents and the user’s gazing direction. An additional graphical user interface (GUI) provides elements for configuring the system and for applying actions to those agents which the operator has confirmed as interaction partners.

» Show BibTeX

Title = {Score-Based Recommendation for Efficiently Selecting Individual
Virtual Agents in Multi-Agent Systems},
Author = {Andrea Bönsch and Robert Trisnadi and Jonathan Wendt and Tom Vierjahn, and Torsten
W. Kuhlen},
Booktitle = {Proceedings of 23rd ACM
Symposium on Virtual Reality Software and Technology},
Year = {2017},
Pages = {tba},

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