Interaction Patterns Exercises
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Ease-in-out curve
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Sequential structure
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Avoid vague commands
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Match between the system and the real world
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Date pickers
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Easing timing function
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Toggle switch
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Activated state
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Pattern libraries
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Ask for one permission at a time
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Microinteraction
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Design patterns
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On and off states
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Show relevant settings
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Avoid contrasting patterns
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Passive shapes
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Active shapes
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Personalize feeds with recommendations
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Use acknowledgments
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Complex repetition of elements
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Strive for consistency
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When to autosave
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Subtlety with shape
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Similarity with shape
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Simple repetition
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Tablet usage
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Customer actions
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The spread of deceptive patterns
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Chips vs buttons
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Using the autoplay attribute
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The hedonic treadmill
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Personalization at scale through AI
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Engage with users regularly
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Provide smooth interaction with companion apps
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Hover link state
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Reward schedules
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Look at what people actually do
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What are deceptive patterns?
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Ask about specific past experience
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Encourage users to collect items
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Automation vs. AI-powered experiences
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Gamification creates personalized experiences
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Predictive interfaces and anticipatory design
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Gamification creates a habit
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Types of rewards
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Include both intrinsic and extrinsic motivators
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The limitations of behaviorism
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Ask personalized questions
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Suggestion chips
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