Multisensory self-motion perception

多感官自我运动感知

• 批准号: RGPIN-2021-03453
• 负责人: Campos, Jennifer
• 金额: $ 2.91万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=764249
• 关键词: Multisensory; self; motion; perception

As we move through the world, our brain has the extraordinary task of seamlessly integrating information from across our various sensory systems including, vision, audition, our muscles and joints, and the acceleration detectors in our inner ear (vestibular). By optimally integrating these sensory inputs, this allows us to estimate self-movement parameters such as speed, distance, and heading direction with greater precision than any one sensory input alone. Traditionally, each of these sensory systems has been studied independently of one another, but my research program is aimed at quantifying how these multiple sensory inputs are integrated in the brain. Our research exploits the unique benefits of basic perceptual tasks and state-of-the-art simulation and Virtual Reality (VR) technologies to develop models of multisensory self-motion perception across the lifespan. The main objectives of the proposed research program are to: Objective 1: Evaluate how different sensory stimulus characteristics (e.g. duration, speed) affect the reliability of self-motion estimates and how this affects sensory weighting during self-motion perception. Objective 2: Assess whether perceptual learning occurs during self-motion and whether training with explicit feedback improves self-motion estimate precision. Objective 3: Examine the extent to which expectations influence multisensory self-motion perception and sensory weighting. Objective 4: Explore how typical age-related changes across sensory, cognitive, and motor systems affect multisensory integration during self-motion. Scientific Approach We will use the Challenging Environment Assessment Laboratory; a state-of-the-art simulation facility that includes VR systems and a large 6 degree-of-freedom motion platform. These facilities allow for the systematic manipulation of sensory inputs under controlled conditions. We will use well-established psychophysical and behavioral paradigms and modelling techniques to measure sensory estimate precision and sensory weights. We will use a battery of well-established baseline tests of sensory, motor, and cognitive functions to account for individual differences and to investigate any associations between domain-specific abilities and experimental task performance. Impact These studies will contribute significantly to the the scientific field of multisensory integration; particularly self-motion perception, locomotion, mobility, and aging. Long-term applied impacts of these studies may be relevant to design of virtual reality systems and simulators, and user interface and vehicle design considerations for an aging population.

当我们在世界上行走时，我们的大脑肩负着无缝集成来自我们各种感觉系统的信息的非凡任务，这些系统包括视觉、听力、肌肉和关节，以及我们内耳(前庭)的加速度探测器。通过优化集成这些感官输入，这使我们能够比单独使用任何一种感官输入更精确地估计自我运动参数，如速度、距离和航向。传统上，这些感觉系统中的每一个都是相互独立地进行研究的，但我的研究计划旨在量化这些多个感觉输入如何整合到大脑中。我们的研究利用基本感知任务的独特优势以及最先进的模拟和虚拟现实(VR)技术来开发跨生命周期的多感觉自我运动感知模型。研究计划的主要目标是：目标1：评估不同的感觉刺激特征(如持续时间、速度)如何影响自我运动估计的可靠性，以及这如何影响自我运动感知过程中的感觉权重。目的2：评估知觉学习是否发生在自我运动中，以及外显反馈训练是否提高了自我运动估计的精度。目标3：考察期望对多感觉自我运动知觉和感觉权重的影响程度。目的4：探讨感觉、认知和运动系统中典型的年龄相关变化如何影响自我运动过程中的多感觉整合。科学方法我们将使用具有挑战性的环境评估实验室；这是一个最先进的模拟设施，包括VR系统和一个大型6自由度运动平台。这些设施允许在受控条件下对感觉输入进行系统操作。我们将使用成熟的心理物理和行为范式以及建模技术来测量感官估计精度和感官权重。我们将使用一系列完善的感觉、运动和认知功能的基线测试来解释个体差异，并调查特定领域的能力和实验任务表现之间的任何联系。这些研究将对多感官整合的科学领域做出重大贡献，特别是自我运动感知、运动、运动和衰老。这些研究的长期应用影响可能与虚拟现实系统和模拟器的设计相关，以及针对老龄化人口的用户界面和车辆设计考虑。