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Related Concept Videos

Processes of Self-Presentation01:29

Processes of Self-Presentation

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Effective self-presentation is a central component of social interaction and identity construction. It relies on the dynamic processes of defining the situation and engaging in self-disclosure. These mechanisms help individuals navigate social context expectations and manage how others perceive them, fostering mutual understanding and relationship development.Defining the SituationSocial situations are shaped by collectively understood frames—a set of widely understood rules or...
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Self-verification is a fundamental psychological drive wherein individuals seek affirmation of their self-concept from others, striving for consistency between their internal self-view and external perceptions. This drive operates even when the self-concept is negative, influencing interpersonal behavior and feedback preferences in complex and often counterintuitive ways. Unlike the self-enhancement motive, which seeks positive evaluations, self-verification prioritizes coherence and...
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The self is a central aspect of human identity, encompassing an individual’s beliefs, emotions, perceptions, and experiences. It is a cognitive and psychological construct that enables individuals to interpret their traits and behaviors, influencing how they perceive themselves and interact with the world. While personality consists of stable and enduring characteristics, the self is shaped by self-perception and social experiences. This distinction highlights the dynamic nature of the...
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The self-concept encompasses individuals' beliefs about themselves, structured through cognitive frameworks known as self-schemas. These schemas function as mental representations of specific traits or behaviors, influencing how self-relevant information is perceived, processed, and remembered. For example, individuals who are schematic for body weight are more likely to interpret routine experiences—such as dining out or shopping—through the lens of that trait. Conversely, those...
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Related Experiment Video

Updated: Nov 4, 2025

Creating Virtual-hand and Virtual-face Illusions to Investigate Self-representation
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Manipulation for self-Identification, and self-Identification for better manipulation.

Kaiyu Hang1, Walter G Bircher2, Andrew S Morgan2

  • 1Department of Mechanical Engineering and Material Science, Yale University, New Haven, CT, USA. kaiyu.hang@yale.edu.

Science Robotics
|May 27, 2021
PubMed
Summary
This summary is machine-generated.

Robots can now learn object manipulation skills by themselves using minimal sensors. This new method, virtual linkage-based representations (VLRs), enables precise robotic in-hand manipulation without prior knowledge.

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Area of Science:

  • Robotics
  • Control Theory
  • Machine Learning

Background:

  • Precise robotic in-hand manipulation requires accurate models of hand-object interactions.
  • Existing methods often rely on pre-known parameters or extensive sensing, limiting adaptability.

Purpose of the Study:

  • To develop a method for robots to autonomously identify hand-object model parameters with minimal sensing.
  • To enable precise in-hand manipulation through self-identified models.

Main Methods:

  • Derivation of algorithms based on virtual linkage-based representations (VLRs).
  • Utilizing exploratory manipulation and probabilistic reasoning for self-identification.
  • Implementation on a Yale Model O hand using only an in-hand camera.

Main Results:

  • Successful self-identification of VLRs, even with novel finger designs.
  • Demonstrated effective control for precise in-hand manipulation tasks.
  • Passive adaptability of the underactuated hand facilitated the self-identification process.

Conclusions:

  • The proposed VLR framework enables robots to self-identify manipulation mechanics.
  • This approach facilitates precise in-hand manipulation control using minimal sensing.
  • The system shows promise for adaptable and robust robotic manipulation.