Behavioral analysis: Microinteractions and expressions

Conceptualization / PrototypingallAdvancedAsynchronous

TL;DR

Use of recordings or AI to analyze facial expressions, pauses, or click patterns in sensitive or complex interactions.

Detailed description

Microinteraction and Expression Analysis is a technique that uses recordings or artificial intelligence to analyze facial expressions, pauses, or click patterns in sensitive or complex interactions. It is useful for detecting hidden or unspoken emotions.

Main objective

Analyze facial expressions, pauses, or click patterns to detect hidden or unspoken emotions.

Use cases

Financial servicesE-learningHealthcareHigh-friction processes

When to use it

In sensitive or complex interactions where emotions are key to the experience.

Effort level

High

Recommended number of users

10-20 users with tracking technology

Advantages

✓Detects hidden or unspoken emotions
✓Useful for emotional or frustrating experiences

Disadvantages

✗Requires specialized tools or AI
✗Sensitive to privacy and consent

When to use

•In emotional experiences (e.g., health, finance)
•When seeking to detect subtle signals

Metrics

Number of microinteractions analyzed
Emotion detection accuracy level
Number of interaction patterns
Correlation level with usability results

Execution mode

unmoderated, asynchronous

How results are presented

Mixed report with microinteraction graphs, expression analysis, and synthesis of detected emotions. May include AI dashboards and recordings.

Practical example

Analyze expressions during credit application process to detect points of anxiety or confusion.

Free tool by UXR — UX Research Consulting in Chile