Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Hindsight Biases01:12

Hindsight Biases

4.1K
Hindsight bias leads you to believe that the event you just experienced was predictable, even though it really wasn’t. In other words, you knew all along that things would turn out the way they did. Can you relate this to the phrase "Hindsight is 20/20" now? 
4.1K
Motivational Bias01:25

Motivational Bias

204
Cognitive bias results from limitations in thinking and information processing, leading to systematic errors in judgment. Conversely, motivational bias stems from personal desires or emotions, causing distortions in perception to align with self-interest. Motivational bias influences how individuals perceive and attribute causes to events, often shaped by personal needs, goals, and self-esteem preservation. This bias can distort judgment, leading to inaccurate assessments of success, failure,...
204
First Impression01:09

First Impression

77
First impressions play a crucial role in social perception, shaping how individuals assess others in professional, academic, and interpersonal contexts. Psychological research highlights the significance of cognitive biases, such as the primacy and recency effects, which influence how people interpret and recall information.The Primacy Effect and Cognitive AnchoringThe primacy effect describes the tendency for initial information to impact judgment disproportionately. When individuals encounter...
77
Beck's Cognitive Therapy01:25

Beck's Cognitive Therapy

199
Cognitive therapy is a psychological approach designed to address distortions in thinking, which can lead to negative emotions and unrealistic beliefs. These cognitive distortions often influence how individuals interpret and respond to situations, exacerbating emotional distress. Below are some prevalent cognitive distortions, their characteristics, and examples of how they manifest in thought processes.
Arbitrary Inference
Arbitrary inference involves making conclusions without sufficient...
199
Unrealistic Optimism Bias01:30

Unrealistic Optimism Bias

99
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
99
Cognitivism01:17

Cognitivism

2.5K
Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
Previously dominated by behaviorism, which prioritized observable behaviors and largely ignored mental processes, psychology transformed in the 1950s. Cognitive psychologists argue that understanding how we think and process...
2.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The Effects of Belief Elicitation in Visual Data Analysis: A Longitudinal Classroom Study.

IEEE transactions on visualization and computer graphics·2025
Same author

A Typology of Decision-Making Tasks for Visualization.

IEEE transactions on visualization and computer graphics·2025
Same author

Dashboard Vision: Using Eye-Tracking to Understand and Predict Dashboard Viewing Behaviors.

IEEE transactions on visualization and computer graphics·2025
Same author

DimBridge: Interactive Explanation of Visual Patterns in Dimensionality Reductions with Predicate Logic.

IEEE transactions on visualization and computer graphics·2024
Same author

Beware of Validation by Eye: Visual Validation of Linear Trends in Scatterplots.

IEEE transactions on visualization and computer graphics·2024
Same author

Knowledge Graphs in Practice: Characterizing their Users, Challenges, and Visualization Opportunities.

IEEE transactions on visualization and computer graphics·2023
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Nov 21, 2025

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
09:49

Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

Published on: April 16, 2014

26.6K

Impact of Cognitive Biases on Progressive Visualization.

Marianne Procopio, Ab Mosca, Carlos Scheidegger

    IEEE Transactions on Visualization and Computer Graphics
    |January 12, 2021
    PubMed
    Summary
    This summary is machine-generated.

    Progressive visualization aids large data analysis but may cause cognitive biases, affecting accuracy despite faster task completion. Further research is needed to mitigate these risks for effective data exploration.

    More Related Videos

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    702
    The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
    05:48

    The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

    Published on: June 12, 2020

    6.1K

    Related Experiment Videos

    Last Updated: Nov 21, 2025

    Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior
    09:49

    Methods to Explore the Influence of Top-down Visual Processes on Motor Behavior

    Published on: April 16, 2014

    26.6K
    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
    07:12

    Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

    Published on: April 11, 2025

    702
    The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
    05:48

    The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

    Published on: June 12, 2020

    6.1K

    Area of Science:

    • Computer Science
    • Human-Computer Interaction
    • Data Visualization

    Background:

    • Progressive visualization allows users to view intermediate results of long computations, enhancing interaction with large datasets.
    • While beneficial, progressive visualization carries risks such as misinterpreting uncertainty and perceiving non-existent patterns in early data.

    Purpose of the Study:

    • To comprehensively study the advantages and limitations of progressive visualization.
    • To quantify the impact of cognitive biases on progressive visualization effectiveness.

    Main Methods:

    • Conducted a comprehensive set of studies to evaluate progressive visualization.
    • Examined four types of cognitive biases: uncertainty, illusion, control, and anchoring bias, based on Micallef et al.'s report.

    Main Results:

    • Progressive visualization can significantly reduce task completion time.
    • Accuracy can be negatively impacted under certain conditions due to cognitive biases.
    • Findings align with previous research on the dual nature of progressive visualization.

    Conclusions:

    • Progressive visualization offers a promising approach for data analysis but requires cautious application.
    • Mitigating the effects of cognitive biases is crucial for the responsible and effective use of progressive visualization.