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相关概念视频

Social Scripts02:10

Social Scripts

People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter), the opening...
Stereotype Content Model02:16

Stereotype Content Model

The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence categorization, a person will feel...
The Behavioral Perspective on Personality01:19

The Behavioral Perspective on Personality

Behaviorists view personality as primarily shaped by environmental reinforcements and consequences. According to this perspective, behavior is influenced by external stimuli, and individuals adjust their actions based on rewards and punishments. Over time, learning histories — accumulated patterns of reinforcement — play a significant role in shaping personality. Behaviors that lead to positive outcomes are reinforced, while those resulting in negative outcomes are diminished. Radical...
Causes of Social Behavior I: Actions and Characteristics of Individuals01:30

Causes of Social Behavior I: Actions and Characteristics of Individuals

The actions and characteristics of others heavily influence the causes of social behaviors. Emotional expressions serve as powerful social signals, shaping behaviors and interactions in significant ways. Whether through direct observation or subconscious processing, individuals constantly adjust their responses based on the emotions and attributes of those around them.Emotional Cues and Social ResponsesFacial expressions, tone of voice, and body language provide crucial emotional cues that...
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
Implicit Personality Theories01:23

Implicit Personality Theories

Implicit personality theory explains how individuals make assumptions about the relationships between personality traits, behaviors, and character types. When people learn that someone possesses a particular trait, they tend to infer the presence of other related characteristics, forming a cohesive impression. This cognitive shortcut plays a crucial role in social interactions and interpersonal judgments.Central Traits and Their InfluenceSolomon Asch's seminal 1946 study highlighted the power...

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相关实验视频

Updated: May 10, 2026

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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艾克斯日:个性驱动的虚拟人类行为世代

Haoyang Li, Zan Wang, Wei Liang

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    此摘要是机器生成的。

    本研究引入了一种新的方法,用于在虚拟现实 (VR) 和增强现实 (AR) 中创建现实的虚拟人类行为,使用人格特征和环境背景. 该框架产生长期的日常活动,增强用户参与沉浸式应用程序.

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    科学领域:

    • 计算机科学 计算机科学
    • 人工智能的人工智能
    • 人与计算机的交互

    背景情况:

    • 现实的虚拟人类行为对于沉浸式虚拟现实 (VR) 和增强现实 (AR) 体验至关重要.
    • 当前的方法在虚拟代理行为生成中往往缺乏长期连贯性和上下文意识.

    研究的目的:

    • 为虚拟代理制造长期,个性化和上下文意识的行为开发一种新的框架.
    • 通过更现实的虚拟人类互动,增强用户对VR/AR应用程序的参与度.

    主要方法:

    • 一个层次行为生成框架,模拟需求,任务和活动级别.
    • 整合行为计划器和世界状态模块,用于动态行为采样.
    • 使用大型语言模型 (LLM) 来自动回归生成日常活动.

    主要成果:

    • 在各种场景中证明了框架的有效性和适应性.
    • 成功生成令人信服和现实的长期虚拟人类行为.
    • 通过广泛的实验验证方法.

    结论:

    • 拟议的框架为个性化和上下文意识的虚拟人类互动建立了一个新的范式.
    • 这项研究为推进虚拟代理和沉浸式技术领域做出了重大贡献.
    • 该方法通过创建更可信和响应的虚拟伴侣来增强用户参与度.