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Behaviorism

Behaviorism

The field of behaviorism was pioneered by figures such as Ivan Pavlov, John B. Watson, and B.F. Skinner fundamentally shifted the focus of psychology to the observable and controllable aspects of human and animal behavior. This shift marked a critical evolution in the discipline, emphasizing scientific rigor and experimental methodology.
The core premise of behaviorism is its focus on observable behavior rather than internal thoughts or feelings. This approach argues that true scientific...

Behavioral Genetics and Its Designs

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...

Evolutionary Psychology

Evolutionary Psychology

Evolutionary psychology explores the origins of human behavior and mental processes by framing them within the context of natural selection, a theory famously propounded by Charles Darwin. This field asserts that many behaviors common across human societies — ranging from instinctive fear reactions to complex social interactions — arose as evolutionary adaptations. These adaptations enhanced the survival and reproductive success of our ancestors, thereby becoming embedded in the human psyche...

The Behavioral Perspective on Personality

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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...

Gestalt Psychology

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Gestalt psychology, founded by Max Wertheimer, Kurt Koffka, and Wolfgang Kohler, emphasizes the importance of understanding perception as an organized whole. Developed as a counter to Wilhelm Wundt's structuralism, this approach posits that our perceptions are more than just the sum of sensory parts; they are comprehensive wholes where the relationships between parts define the perception. The principle "The whole is greater than the sum of its parts" encapsulates this view, illustrating how...

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...

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Related Experiment Video

Updated: Jun 7, 2026

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Eye-tracking Technology and Data-mining Techniques used for a Behavioral Analysis of Adults engaged in Learning Processes

Published on: June 10, 2021

behaviorism: a framework for dynamic data visualization.

Angus Graeme Forbes¹, Tobias Höllerer, George Legrady

¹University of California, Santa Barbara, USA. angus.forbes@mat.ucsb.edu

IEEE Transactions on Visualization and Computer Graphics

|October 27, 2010

Summary

This summary is machine-generated.

Creating novel visualizations is challenging. The Behaviorism framework simplifies this by offering flexibility in visual, temporal, and ontological data handling for rapid prototyping and robust system development.

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Area of Science:

Computer Science
Information Visualization
Human-Computer Interaction

Background:

Existing information visualization software frameworks often present challenges for creating novel visualizations, especially those involving new metaphors, interaction techniques, or rendering algorithms.
Developing advanced visualizations for dynamic data requires flexible and robust software solutions.

Purpose of the Study:

To introduce Behaviorism, a new software framework designed to facilitate the creation of novel information visualizations.
To provide a flexible yet accessible tool for developers to prototype and build sophisticated visualization systems.

Main Methods:

The Behaviorism framework utilizes three interconnected graphs: a scene graph for 3D rendering, a data graph for heterogeneous data, and a timing graph for control over scheduling, interaction, and animation.
A unified system for adding behaviors to data, visual elements, and behaviors themselves is implemented via the timing graph.

Main Results:

The framework was evaluated through three diverse projects: an interactive ecological simulation, an information art installation, and a novel information visualization technique.
These projects demonstrated the framework's capability in handling dynamic data across different domains and visualization requirements.

Conclusions:

Behaviorism offers a flexible and efficient approach to developing novel information visualizations, particularly for dynamic and complex datasets.
The framework's design supports rapid prototyping and the development of robust, scalable visualization systems.