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Perceptually-inspired computing

机译:感知 - 灵感的计算

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摘要

Human sensory systems allow individuals to see, hear, touch, and interact with the surrounding physical environment. Understanding human perception and its limit enables us to better exploit the psychophysics of human perceptual systems to design more efficient, adaptive algorithms and develop perceptually-inspired computational models., In this talk, I will survey some of recent efforts on perceptually-inspired computing with applications to crowd simulation and multimodal interaction. In particular, I will present data-driven personality modeling based on the results of user studies, example-guided physics-based sound synthesis using auditory perception, as well as perceptually-inspired simplification for multimodal interaction. These perceptually guided principles can be used to accelerating multi-modal interaction and visual computing, thereby creating more natural human-computer interaction and providing more immersive experiences. I will also present their use in interactive applications for entertainment, such as video games, computer animation, and shared social experience. I will conclude by discussing possible future research directions.
机译:人类感官系统允许个人看到,听到,触摸和与周围的物理环境相互作用。了解人类的感知及其限制使我们能够更好地利用人类感知系统的心理物理学,以设计更高效,自适应算法和开发感知的自发性计算模型。在这次谈话中,我将调查最近的一些努力在感知上灵感的计算应用于人群模拟和多模式交互。特别地,我将基于用户研究的结果,使用听觉感知的示例引导的物理学合成的基于用户研究的结果,以及对多式联合相互作用的显着启发的简化的基于用户研究的结果。这些感知的引导原理可用于加速多模态相互作用和视觉计算,从而产生更自然的人机互动并提供更加沉浸的体验。我还将在娱乐申请中展示他们的娱乐申请,例如视频游戏,计算机动画和共享社会体验。我将通过讨论可能的未来的研究方向来结束。

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