Visual Perception and Attention

视觉感知和注意力

• 批准号: RGPIN-2018-03741
• 负责人: Enns, James
• 金额: $ 11.51万
• 依托单位: University of British Columbia
• 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=764009
• 关键词: Visual; Perception; Attention

My lab studies the interface between human visual perception, social-emotional processing, and action kinematics. The methods are behavioral (psychophysics, eye tracking, limb movement, self-report, third-person observation, questionnaire) and are strongly informed by theories based on physiology (electrophysiology, imaging) and neuropsychology (brain injury, disease). Two representative lines of research are outlined briefly as examples of the projects ongoing in the UBC Vision Lab.An exciting recent discovery from our group is that when human observers are trying to predict the next moves of an actor, they are sensitive to the attentional control state of the actor. One consequence of this sensitivity is that observers are better able to predict the actor's next moves when the actor is choosing freely to move than when they are being directed by an external force. We call this the “choice advantage” in person perception (Pesquita et al., 2016 PNAS) and have shown that (a) it is visible in the very early kinematics of the actor, (b) it is outside the conscious awareness of the observer, (c) the kinematic signal is distributed over the torso and limbs of the actor, and (d) that sensitivity to the signal is correlated with the overall social aptitude of the observer. We conclude that humans are sensitive to an implicit kinematic process linked to empathy and that social perception involves the predictive modeling of others' attentional states. The proposed work now examines in greater detail how the kinematic signals received by individuals differs as a function of their ability to empathize with others. The proposed work also examines how sensitivity to an actor's attentional state influences the observer's ability to engage in collaborative tasks with the actor.A second important discovery of the past round of funding is that the so-called “autopilot” of the dorsal visual stream (i.e., the circuitry that enables us to press an elevator button while moving, to catch a ball with our hands, to pass a baton to a runner in a relay) seems to operate independently from the ventral visual stream circuitry that informs us about the emotional meaning of the objects we are reaching for (e.g., a spider crawling on a pen). Central to this discovery was the development of an experimental method that disentangled the contents of consciousness from the directions needed to make a visually guided pointing movement (Enns et al., 2017, Progress in Brain Research). The proposed research will extend this methodology to study of how the two visual systems (dorsal and ventral) are guided by dissociable selective mechanisms. In short, this work is an effort to break away from the bias in our field to invoke a monolithic attentional network; arguing instead that the mechanisms of selectivity are as different in the two visual streams as are the representations that are formed by each of them.

我的实验室研究人类视觉感知，社会情感处理和动作运动学之间的界面。这些方法是行为的（心理物理学，眼动追踪，肢体运动，自我报告，第三人称观察，问卷调查），并强烈地受到基于生理学（电生理学，成像）和神经心理学（脑损伤，疾病）的理论的影响。作为UBC视觉实验室正在进行的项目的例子，简要概述了两条代表性的研究路线。我们小组最近的一个令人兴奋的发现是，当人类观察者试图预测演员的下一步动作时，他们对演员的注意力控制状态很敏感。这种敏感性的一个结果是，观察者能够更好地预测演员的下一步行动时，演员是选择自由移动比当他们被外力引导。我们称之为个人感知中的“选择优势”（Pesquita et al.，2016 PNAS），并且已经表明（a）它在演员的非常早期的运动学中是可见的，（B）它在观察者的有意识意识意识之外，（c）运动学信号分布在演员的躯干和四肢上，以及（d）对信号的敏感性与观察者的整体社交能力相关。我们的结论是，人类是敏感的一个隐含的运动过程与同理心和社会知觉涉及到其他人的注意力状态的预测建模。现在，拟议的工作将更详细地研究个体接收到的运动学信号如何根据他们对他人的同情能力而有所不同。拟议的工作还研究了对演员注意力状态的敏感性如何影响观察者与演员进行协作任务的能力。上一轮资金的第二个重要发现是，背侧视觉流的所谓“自动驾驶仪”（即，使我们能够在移动时按下电梯按钮、用我们的手接球、在接力中将接力棒传递给赛跑者的电路）似乎独立于腹侧视觉流电路而操作，腹侧视觉流电路通知我们关于我们正在触及的对象的情感意义（例如，一只蜘蛛在钢笔上爬行）。这一发现的核心是发展了一种实验方法，该方法将意识的内容与进行视觉引导的指向运动所需的方向分离开来（恩斯等人，2017，脑研究进展）。拟议的研究将扩展这种方法来研究这两个视觉系统（背侧和腹侧）是如何指导分离的选择机制。简而言之，这项工作是为了摆脱我们这个领域的偏见，调用一个单一的注意力网络;相反，认为选择性的机制在两个视觉流中是不同的，因为它们每个人都形成了表征。