Human Computer Interaction Articles & Videos

  • Good Abandonment on Search Results Pages

    Now that people can easily find answers to their questions directly on results pages, content creators must rethink their role in providing information to their users.

  • Dark Mode vs. Light Mode: Which Is Better?

    In people with normal vision (or corrected-to-normal vision), visual performance tends to be better with light mode, whereas some people with cataract and related disorders may perform better with dark mode. On the flip side, long-term reading in light mode may be associated with myopia.

  • Information Scent: How Users Decide Where to Go Next

    When deciding which links to click on the web, users choose those with the highest information scent — which is a mix of cues that they get from the link label, the context in which the link is shown, and their prior experiences.

  • User-Experience Quiz: 2019 UX Year in Review

    Test your usability knowledge by taking our quiz. All questions and answers are based on articles that we published last year.

  • How to Measure Learnability of a User Interface

    To measure learnability, determine your metric, gather your data, and plot the averages on a line curve. Analyze the learning curve by looking at its slope and its plateau.

  • The Attention Economy

    Digital products are competing for users’ limited attention. The modern economy increasingly revolves around the human attention span and how products capture that attention.

  • Accot-Zhai Steering Law: Implications for UI Design

    Dropdowns, hierarchical menus, sliders, or scroll bars involve steering a pointer or a cursor through a tunnel; optimal design for these GUI elements should consider the Steering Law.

  • Creepiness–Convenience Tradeoff

    As people consider whether to use the new "creepy" technologies, they do a type of cost-benefit analysis weighing the loss of privacy against the benefits they will receive in return.

  • Tesla’s Touchscreen UI: A Case Study of Car-Dashboard User Interface

    Vehicle controls should be easily accessible and require minimum attention from drivers, while driving-related information should be displayed clearly and understandably.

  • Modes in User Interfaces: When They Help and When They Hurt Users

    In a modal interface, the same user action can have different results depending on the state of the system. Poorly signaled modes can easily trigger user errors with disastrous consequences.

  • Unbridged Knowledge Gaps Hurt UX

    Many websites fail to provide the right information for research-based tasks, requiring unnecessary effort for users to piece together various information sources manually.

  • Mental Models for Intelligent Assistants

    Users of Siri, Alexa, and Google Assistant conceptualize them in one of 3 ways: an interface, a personal assistant, or a brain. Frequent users are less likely to push the interaction limits of these AI systems than new users.

  • User-Experience Quiz: 2018 UX Year in Review

    Test your UX knowledge by taking our quiz. All questions and answers are based on articles that we published last year.

  • Can Users Understand Recommendations and Personalization Driven by Machine Learning?

    In a study of people interacting with systems using machine-learning algorithms for recommendations and personalization, users had weak mental models and difficulties making the UI do what they want.

  • The User Experience of Chatbots

    Far from being ‘intelligent’, today’s chatbots guide users through simple linear flows, and our user research shows that they have a hard time whenever users deviate from such flows.

  • Natural Mappings and Stimulus-Response Compatibility in User Interface Design

    Designs that quickly convey relationships between the user input and the result often use natural mappings or have a high stimulus–response compatibility.

  • The Paradox of Intelligent Assistants: Poor Usability, High Adoption

    Frequent users of Siri, Alexa, and Google Assistant report attempting low-complexity tasks such as simple fact retrievals, weather forecast, navigation, playing music, setting timers.

  • Signal–to–Noise Ratio

    Relevant information is “signal,” while irrelevant information is “noise”. A high signal–to–noise ratio is a key outcome for any UX professional’s work, in terms of both content and page design.

  • Visibility of System Status (Usability Heuristic #1)

    Communicating the current state allows users to feel in control of the system, take appropriate actions to reach their goal, and ultimately trust the brand.

  • Working Memory and External Memory

    Human working memory holds information relevant to the current task; a physical or virtual external memory can help in tasks with a high working-memory burden.