Related Experiment Video
Updated: May 4, 2026
07:08
Estimate the Cognitive Load Using Electrocardiographic Measure: A Human-AI Collaborative Task
Published on: December 5, 2025
1.2K
The effect of cognitive load on decision making with graphically displayed uncertainty information
Pamela M Allen1, John A Edwards, Frank J Snyder
1School of Social and Behavioral Health Sciences, Oregon State University, Corvallis, OR, USA.
Risk Analysis : an Official Publication of the Society for Risk Analysis
|December 21, 2013
Summary
Cognitive load, remembering numbers, did not affect basic uncertainty data interpretation from graphs. However, it did impair optimizing decisions based on graphical uncertainty information.
Area of Science:
- Human-Computer Interaction
- Cognitive Psychology
- Data Visualization
Background:
- Effective communication of uncertainty is crucial for informed decision-making.
- Cognitive load can significantly impact information processing and decision quality.
- Graphical displays are commonly used to convey uncertainty, but their effectiveness under load is not fully understood.
Purpose of the Study:
- To evaluate how cognitive load affects the interpretation of uncertainty information presented in graphical displays.
- To assess the impact of cognitive load on deriving information and making optimal behavioral decisions from graphs.
- To compare the performance across different graphical display types under cognitive load.
Main Methods:
- An experiment was conducted with participants under cognitive load (remembering an eight-digit number).
- Five different graphical displays were used to communicate uncertainty information across eight scenarios with probabilistic outcomes.
- Participants' ability to derive information (mean, probability estimation) and make optimal behavioral decisions was assessed.
Main Results:
- Cognitive load did not significantly affect the accurate derivation of basic information (mean and probability estimation) from graphical displays.
- Cognitive load suppressed the ability to optimize behavioral choices based on the information presented in the graphs.
- The impact of cognitive load varied across different graphical display types, with some being more affected than others.
Conclusions:
- Basic interpretation of uncertainty data from graphs remains largely intact under limited cognitive resources.
- More complex, deliberative processing required for optimizing decisions based on uncertainty is negatively impacted by cognitive load.
- Designers of uncertainty visualization should consider the potential for cognitive load to impair higher-level decision-making processes.
More Related Videos
Related Concept Videos
01:20Lazarus's Cognitive Appraisal Theory
3.0K
Cognitive psychologist Richard Lazarus proposed the cognitive-mediational theory of emotions, which emphasizes how individuals' assessments of stressors significantly affect their experience of stress. According to Lazarus, the stress response is determined by a two-step appraisal process: primary appraisal and secondary appraisal. These cognitive appraisals help individuals evaluate the potential impact of a stressor and determine the adequacy of their coping resources.
Primary Appraisal:...
Primary Appraisal:...
3.0K
01:20Decision Making
1.2K
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
Automatic decision-making is fast, intuitive, and relies on gut feelings...
1.2K
01:29The Influence of Cognition on Affect
324
Cognition plays a pivotal role in shaping emotional experiences, as demonstrated by Schachter and Singer’s two-factor theory of emotion. According to this model, emotion arises from a combination of physiological arousal and cognitive interpretation. The body’s physiological response to stimuli is ambiguous and only gains emotional significance through cognitive labeling. For instance, an increased heart rate and adrenaline surge while standing near an attractive person may be...
324
01:09Decision Making: P-value Method
5.8K
The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
First, a specific claim about the population parameter is proposed. The claim is based on the research question and is stated in a simple form. Further, an opposing statement to the claim is also stated. These statements can act as null and alternative hypotheses: a null hypothesis would be a neutral statement while the alternative hypothesis can...
5.8K
01:14Decision Making: Traditional Method
4.4K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.4K
00:59Uncertainty: Overview
1.6K
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
1.6K