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Augmenting Cognitive Processes and Behavior of Intelligent Virtual Agents by Modeling Synthetic Perception

  • Populating virtual worlds with intelligent agents can drastically improve a user's sense of presence. Applying these worlds to virtual training, simulations, or (serious) games, often requires multiple agents to be simulated in real time. The process of generating believable agent behavior starts with providing a plausible perception and attention process that is both efficient and controllable. We describe a conceptual framework for synthetic perception that specifically considers the mentioned requirements: plausibility, real-time performance, and controllability. A sample implementation will focus on sensing, attention, and memory to demonstrate the framework's capabilities in a real-time game engine scenario. A combination of dynamic geometric sensing and false coloring with static saliency information is provided to exemplify the collection of environmental stimuli. The subsequent attention process handles both bottom-up processing and task-oriented, top-down factors. Behavioral results can be influenced by controlling memory and attention The example case is demonstrated and discussed alongside future extensions.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):Proceedings of the on Thematic Workshops of ACM Multimedia 2017. Mountain View, California, USA, October 23 - 27, 2017
First Page:117
Last Page:125
ISBN:978-1-4503-5416-5
DOI:https://doi.org/10.1145/3126686.3126752
Publisher:ACM
Date of first publication:2017/10/23
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2017/08/31