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Related Concept Videos

Inductive Reasoning00:59

Inductive Reasoning

Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Reasoning01:30

Reasoning

Reasoning is the action of thinking about something in a logical, sensible way. It is integral to problem-solving, decision-making, and critical thinking. Reasoning can be inductive or deductive. Reasoning involves transforming information into conclusions, which is essential for problem-solving, decision-making, and critical thinking.
Inductive reasoning involves deriving generalizations from specific observations. This type of reasoning helps form beliefs about the world. For example,...
Reason and Intuition01:37

Reason and Intuition

The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the brain can only use...
Deductive Reasoning01:16

Deductive Reasoning

Deductive reasoning, or deduction, is the type of logic used in hypothesis-based science. In deductive reasoning, the pattern of thinking moves in the opposite direction as compared to inductive reasoning, which means that it uses a general principle or law to predict specific results. From those general principles, a scientist can deduce and predict the specific results that would be valid as long as the general principles are valid.
For example, a researcher can deduce specific predictions...
Natural and Artificial Concepts01:24

Natural and Artificial Concepts

In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint Vincent in...

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Related Experiment Video

Updated: May 7, 2026

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

Using interactive visual reasoning to support sense-making: implications for design.

Neesha Kodagoda1, Simon Attfield, B L William Wong

  • 1School of Science and Technology, Middlesex University.

IEEE Transactions on Visualization and Computer Graphics
|September 21, 2013
PubMed
Summary
This summary is machine-generated.

This study develops design guidelines for identifying key influencers in professional communities using the INVISQUE system. Findings inform better tools for evidence exploration and sense-making in complex data environments.

Related Experiment Videos

Last Updated: May 7, 2026

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

Area of Science:

  • Information Science
  • Human-Computer Interaction
  • Cognitive Science

Background:

  • Investigative and analytical tasks require effective systems for evidence exploration and inference assembly.
  • Identifying key 'influencers' within a community of practice is a complex analytical challenge.

Purpose of the Study:

  • To develop design guidelines for systems supporting evidence exploration and influencer identification.
  • To understand the cognitive and interaction needs of users performing these tasks.

Main Methods:

  • Conducted a user study using the INVISQUE system with data from the ACM Digital Library.
  • Focused on user-created representations and reasoning processes during evidence exploration.
  • Applied sense-making and cognitive work theories as analytical frameworks.

Main Results:

  • User study data revealed how high-level influencer identification translates into specific user interactions.
  • Identified user needs for specific representations and functionalities in data exploration tools.
  • Understanding of cognitive processes involved in identifying key players within a domain.

Conclusions:

  • The study provides insights into designing effective visual search and query environments.
  • Findings inform the development of abstract representation and functionality needs for analytical systems.
  • Outcomes offer implications for designing systems that support complex analytical reasoning and evidence assembly.