Short answer

Reduce visual density and simplify navigation hierarchy to lower the frequency and duration of fixations, thereby decreasing user fatigue.

Field: User-Centred Design
Source: Journal of scientific research (2020)
Method: Literature review and meta-analysis of eye-tracking metrics
Evidence: Strong effect

As mental processing demands increase, the brain requires more time to encode visual information and more frequent sampling to maintain task focus, which is physically reflected in eye movement patterns. This user-centred design research insight is drawn from a 2020 study published in Journal of scientific research. Using Literature review and meta-analysis of eye-tracking metrics, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Reduce visual density and simplify navigation hierarchy to lower the frequency and duration of fixations, thereby decreasing user fatigue.

Study

User-Centred DesignHigh ImpactStrong effect

High fixation frequency and prolonged durations signal increased cognitive load during interface navigation

Journal of scientific research · 2020

Key Findings

01Increased fixation frequency correlates with higher mental searching effort and poor interface layout
02Longer fixation durations indicate difficulty in extracting or interpreting information from a specific element
03Saccadic activity (rapid eye movement between points) reflects the efficiency of the visual search strategy
04Pupil dilation serves as a consistent physiological indicator of immediate processing strain

Application

Design takeaway

Reduce visual density and simplify navigation hierarchy to lower the frequency and duration of fixations, thereby decreasing user fatigue.

How to apply

During A/B testing, compare the 'Average Fixation Duration' of two checkout flows; the version with shorter durations is more likely to be cognitively 'frictionless'.

Project actions

01Use eye-tracking heatmaps to see if users are getting stuck on decorative elements instead of call-to-action buttons
02Look for 'ping-pong' eye movements between two areas to see if the user is trying to compare complex data
03Remember that 'looking' doesn't always mean 'liking'—it often means 'confused by'

Method & Evidence

AimTo identify and validate specific eye-tracking metrics that reliably indicate cognitive load levels within human-computer interaction environments.

MethodLiterature review and meta-analysis of eye-tracking metrics

ProcedureResearchers analyzed various oculomotor behaviors (fixations, saccades, pupil dilation, and blink rates) across multiple HCI studies to correlate specific physical measurements with mental effort levels during digital tasks.

ContextUser interface design and usability testing frameworks

Variables

IVInterface complexity and task difficulty

DVEye-tracking metrics (fixation frequency, fixation duration, saccade amplitude, saccade duration, pupil dilation, blink rate)

CVParticipant characteristics (e.g., age, vision correction), display resolution, ambient lighting conditions, experimental task instructions, and familiarity with the interface.

Strengths & Limitations

Strengths

+Employs objective, quantifiable physiological measures (eye-tracking data) to infer cognitive load, reducing subjectivity inherent in self-report.
+The meta-analysis approach synthesizes findings from multiple studies, increasing the generalizability and robustness of the identified correlations between eye-tracking metrics and cognitive load.
+Investigates a range of oculomotor behaviors, providing a multi-faceted approach to understanding cognitive load rather than relying on a single metric.

Limitations

Cheaper eye-tracking software used by students may have lower accuracy than the professional hardware discussed in the paper.

Reliability & validity

The study's reliability is likely high due to the meta-analysis approach, which aggregates data from multiple sources, reducing the impact of random error in individual studies. Validity is strengthened by correlating objective oculomotor behaviors with established concepts of cognitive load. However, construct validity may be limited as eye-tracking metrics are indirect indicators of cognitive load, and external validity could be affected by the controlled nature of laboratory settings versus real-world usage scenarios.

Think critically

If a user has a long fixation duration on a beautiful image, is that high cognitive load (bad) or high engagement (good)? How can a designer tell the difference?

Design Principles

"Visual Processing Efficiency: The lower the fixation-to-task-completion ratio, the higher the interface usability."

When users encounter complex or poorly structured layouts, their cognitive resources become overextended, leading to frustration and error. By monitoring involuntary eye movements, designers can objectively identify 'friction points' that self-reporting or simple click-path data often miss.

What This Means for Your Design

Your eyes move more and stay still longer when your brain is working hard to understand a confusing website.

How to use in your project

1.Cite Joseph and Murugesh (2020) when justifying why you simplified a navigation menu in your Design Evolution section
2.Use the concept of 'Fixation Duration' to explain why you changed a complex icon into a simple text label

Add to My Project

Quick Cite

Paragraph starter

According to Joseph and Murugesh (2020), eye-tracking metrics such as fixation frequency and duration are reliable indicators of cognitive load, suggesting that simpler layouts reduce mental processing strain.

Source

Journal of scientific research

Potential Eye Tracking Metrics and Indicators to Measure Cognitive Load in Human-Computer Interaction Research

journal · 2020

View source

Questions About This Research

What does the research say about high fixation frequency and prolonged durations signal increased cognitive load during interface navigation?: Reduce visual density and simplify navigation hierarchy to lower the frequency and duration of fixations, thereby decreasing user fatigue. Evidence: Journal of scientific research (2020).
Why does "High fixation frequency and prolonged durations signal increased cognitive load during interface navigation" matter for design?: When users encounter complex or poorly structured layouts, their cognitive resources become overextended, leading to frustration and error. By monitoring involuntary eye movements, designers can objectively identify 'friction points' that self-reporting or simple click-path data often miss.
How can designers apply this research?: Reduce visual density and simplify navigation hierarchy to lower the frequency and duration of fixations, thereby decreasing user fatigue.
What were the main findings?: Increased fixation frequency correlates with higher mental searching effort and poor interface layout. Longer fixation durations indicate difficulty in extracting or interpreting information from a specific element. Saccadic activity (rapid eye movement between points) reflects the efficiency of the visual search strategy. Pupil dilation serves as a consistent physiological indicator of immediate processing strain
What research method was used?: Literature review and meta-analysis of eye-tracking metrics.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2020 journal from Journal of scientific research.
What should I do differently in my next project?: During A/B testing, compare the 'Average Fixation Duration' of two checkout flows; the version with shorter durations is more likely to be cognitively 'frictionless'.
What are the limitations?: Individual differences in reading speed and prior expertise can skew data; eye tracking cannot determine the 'emotion' behind the load—only the intensity.