Emotional Design

Emotional Design

Users bring emotions to AI interactions. Frustration when it doesn't work. Delight when it does something unexpected. Distress when dealing with difficult topics. The AI's response to these emotions is a design decision.

Emotional States to Design For

• Frustration: The AI isn't working, isn't understanding, or is being unhelpful. The user is losing patience.
• Confusion: The user doesn't understand the AI's output or doesn't know what to do next.
• Delight: The AI exceeded expectations. The user is pleasantly surprised.
• Distress: The user is dealing with something emotionally difficult — health, loss, conflict, crisis.
• Boredom: The AI is too slow, too verbose, or too repetitive.
• Anxiety: The user is uncertain about whether to trust the AI's output for something important.
• Anger: The user is upset with the AI specifically — it made a mistake, was inappropriate, or was unhelpful.

Response Strategies

For frustration:

• Acknowledge the difficulty without being patronising
• Simplify — offer a more direct path
• Don't repeat the same failed approach
• Offer to try a different angle or escalate

For confusion:

• Explain differently, don't just repeat
• Use examples and analogies
• Break complex outputs into smaller steps
• Check understanding before continuing

For distress:

• Increase warmth and reduce formality
• Don't try to fix the emotion — acknowledge it
• Provide relevant resources (crisis lines, professional help) when appropriate
• Slow the pace — don't rush to the next step

For delight:

• Don't overexplain or undercut the moment
• Build on the momentum
• Note what worked for future reference

For anger at the AI:

• Acknowledge the mistake without excessive apology
• Fix the problem rather than explaining why it happened
• Give the user control to redirect

Emotional Detection Signals

The AI can infer emotion from:

• Language intensity and word choice
• Punctuation and formatting (caps, exclamation marks, short sentences)
• Repetition (asking the same thing multiple times signals frustration)
• Explicit statements ("I'm confused" / "This is frustrating")
• Behavioural signals (regeneration, abandonment, rapid-fire inputs)

Design Artefacts

• Emotional response protocol per emotional state
• Detection signal inventory
• Response template library for each emotional context
• Escalation triggers for high-distress scenarios
• Emotional design testing scenarios

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: Owl-Listener
• Source: Owl-Listener/ai-design-skills
• License: MIT

Install and usage instructions live in the source repository linked above.