Self Dialogue

Self-dialogue is the internal exchange through which people use language to interpret experiences, evaluate choices, and guide their behavior, making it an important subject in psychology. It works through inner speech and imagined question-and-answer processes that can organize attention, support perspective-taking, and reframe thoughts in response to emotions or challenging situations. Constructive self-dialogue may help people regulate feelings, solve problems, set goals, and monitor performance, while harsh or repetitive self-talk can reinforce distressing interpretations. Psychologists study self-dialogue in research on cognition, motivation, metacognition, and mental health, and apply it in approaches such as reflective practice and cognitive-behavioral interventions.

Self Dialogue - Related Videos

Research

JoVE Journal - Neuroscience
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Quantifying Fish Swimming Behavior in Response to Acute Exposure of Aqueous Copper Using Computer Assisted Video and Digital Image Analysis

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Cited by 29 •

2016

Measuring the impacts of environmental contaminants on fish behavior is often subjective and challenging particularly when dealing with sublethal endpoints. We describe methods including video technology to quantify swimming behavior of early life stage white sturgeon (Acipenser transmontanus) during and after 96 hr acute exposures to various concentrations of copper.

Research

JoVE Journal - Chemistry

Highly Stable, Functional Hairy Nanoparticles and Biopolymers from Wood Fibers: Towards Sustainable Nanotechnology

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Cited by 24 •

2016

Synthesis schemes to prepare highly stable wood fiber-based hairy nanoparticles and functional cellulose-based biopolymers have been detailed.

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

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2025

This paper outlines the protocol for qualitatively and quantitatively validating a university service-learning instrument, following the parsimony criterion to create the most robust and optimal version possible. The Delphi qualitative validation method and Robust Unweighted Least Squares Exploratory Factor Analysis, as a quantitative item optimization method, are utilized for this purpose.

A Low-cost Method for Analyzing Seizure-like Activity and Movement in Drosophila

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Cited by 17 •

2014

Using a webcam and a combination of free and inexpensive software programs, locomotive patterns in Drosophila melanogaster can be analyzed to detect differences in the speed, distance, and time of various motor activities.

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

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Cited by 14 •

2014

The bottleneck for cellular 3D electron microscopy is feature extraction (segmentation) in highly complex 3D density maps. We have developed a set of criteria, which provides guidance regarding which segmentation approach (manual, semi-automated, or automated) is best suited for different data types, thus providing a starting point for effective segmentation.

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