122 topics found for:

“pattern”

Scanning Pattern

Common reading patterns users follow when scanning web content, such as the F-pattern, where users read across the top and then scan down the left side. Important for designing layouts that align with natural reading behaviors, improving content engagement and usability.

Roach Motel

A dark pattern where it's easy to get into a situation but hard to get out of it, such as signing up for a service but finding it difficult to cancel. Awareness of this tactic is crucial to design fair user experiences with straightforward entry and exit points.

Gutenberg Diagram

A design principle that suggests a pattern for how people read a webpage, dividing it into four quadrants and emphasizing the importance of the top-left and bottom-right areas. Essential for creating effective layouts that align with natural reading patterns.

Nagging

A dark pattern where repetitive notifications or prompts are used to wear down user resistance. Recognizing the annoyance of this tactic is important to maintain respectful user interactions and avoid interruptions.

Obstruction

A dark pattern where a process is made more difficult than it needs to be to discourage certain behavior. Recognizing the harm of this practice is important to design straightforward user processes.

Obfuscated Options

A dark pattern where options to opt out or cancel services are deliberately hidden or made difficult to find. It's essential to avoid hiding options and provide clear, accessible choices for users to manage their preferences.

Disguised Ads

A dark pattern where advertisements are disguised as other types of content or navigation to trick users into clicking on them. Awareness of this tactic is crucial to maintain transparency and prevent misleading users with disguised content.

Thin Data

Quantitative data that provides broad, numerical insights but often lacks the contextual depth that thick data provides. Useful for capturing high-level trends and patterns, but should be complemented with thick data to gain a deeper understanding of user behavior and motivations.