research.google
Open in
urlscan Pro
2404:6800:4003:c11::79
Public Scan
URL:
https://research.google/blog/users-love-simple-and-familiar-designs-why-websites-need-to-make-a-great-first-impression/
Submission: On April 30 via manual from SG — Scanned from SG
Submission: On April 30 via manual from SG — Scanned from SG
Form analysis
0 forms found in the DOMText Content
Jump to Content Research Research * Who we are Back to Who we are menu -------------------------------------------------------------------------------- DEFINING THE TECHNOLOGY OF TODAY AND TOMORROW. * PHILOSOPHY We strive to create an environment conducive to many different types of research across many different time scales and levels of risk. Learn more about our Philosophy Learn more Philosophy * PEOPLE Our researchers drive advancements in computer science through both fundamental and applied research. Learn more about our People Learn more People * TEAMS Our research teams have the opportunity to impact technology used by billions of people every day. Learn more about our Teams Learn more Teams * Research areas Back to Research areas menu -------------------------------------------------------------------------------- * AI/ML FOUNDATIONS & CAPABILITIES * Machine Intelligence * Machine Perception * Machine Translation * Natural Language Processing * Speech Processing AI/ML Foundations & Capabilities Back to AI/ML Foundations & Capabilities menu -------------------------------------------------------------------------------- * Machine Intelligence * Machine Perception * Machine Translation * Natural Language Processing * Speech Processing * ALGORITHMS & OPTIMIZATION * Algorithms & Theory * Data Management * Data Mining & Modeling * Information Retrieval & the Web Algorithms & Optimization Back to Algorithms & Optimization menu -------------------------------------------------------------------------------- * Algorithms & Theory * Data Management * Data Mining & Modeling * Information Retrieval & the Web * COMPUTING PARADIGMS * Distributed Systems & Parallel Computing * Hardware & Architecture * Mobile Systems * Networking * Quantum Computing * Robotics * Security, Privacy, & Abuse Prevention * Software Engineering * Software Systems Computing Paradigms Back to Computing Paradigms menu -------------------------------------------------------------------------------- * Distributed Systems & Parallel Computing * Hardware & Architecture * Mobile Systems * Networking * Quantum Computing * Robotics * Security, Privacy, & Abuse Prevention * Software Engineering * Software Systems * RESPONSIBLE HUMAN-CENTRIC TECHNOLOGY * Human-Computer Interaction & Visualization * Responsible AI Responsible Human-Centric Technology Back to Responsible Human-Centric Technology menu -------------------------------------------------------------------------------- * Human-Computer Interaction & Visualization * Responsible AI * SCIENCE & SOCIETAL IMPACT * Climate & Sustainability * Economics & Electronic Commerce * Education Innovation * General Science * Health & Bioscience Science & Societal Impact Back to Science & Societal Impact menu -------------------------------------------------------------------------------- * Climate & Sustainability * Economics & Electronic Commerce * Education Innovation * General Science * Health & Bioscience Explore research areas * Our work Back to Our work menu -------------------------------------------------------------------------------- * PROJECTS We regularly open-source projects with the broader research community and apply our developments to Google products. Learn more about our Projects Learn more Projects * PUBLICATIONS Publishing our work allows us to share ideas and work collaboratively to advance the field of computer science. Learn more about our Publications Learn more Publications * RESOURCES We make products, tools, and datasets available to everyone with the goal of building a more collaborative ecosystem. Learn more about our Resources Learn more Resources * Programs & events Back to Programs & events menu -------------------------------------------------------------------------------- SHAPING THE FUTURE, TOGETHER. Collaborate with us * STUDENT PROGRAMS Supporting the next generation of researchers through a wide range of programming. Learn more about our Student programs Learn more Student programs * FACULTY PROGRAMS Participating in the academic research community through meaningful engagement with university faculty. Learn more about our Faculty programs Learn more Faculty programs * CONFERENCES & EVENTS Connecting with the broader research community through events is essential for creating progress in every aspect of our work. Learn more about our Conferences & events Learn more Conferences & events Collaborate with us * Careers * Blog Search 1. Blog 2. Users love simple and familiar designs – Why websites need to make a great first impression USERS LOVE SIMPLE AND FAMILIAR DESIGNS – WHY WEBSITES NEED TO MAKE A GREAT FIRST IMPRESSION August 29, 2012 Posted by Javier Bargas-Avila, Senior User Experience Researcher at YouTube UX Research Posted by Javier Bargas-Avila, Senior User Experience Researcher at YouTube UX Research I’m sure you’ve experienced this at some point: You click on a link to a website, and after a quick glance you already know you’re not interested, so you click ‘back’ and head elsewhere. How did you make that snap judgment? Did you really read and process enough information to know that this website wasn’t what you were looking for? Or was it something more immediate? We form first impressions of the people and things we encounter in our daily lives in an extraordinarily short timeframe. We know the first impression a website’s design creates is crucial in capturing users’ interest. In less than 50 milliseconds, users build an initial “gut feeling” that helps them decide whether they’ll stay or leave. This first impression depends on many factors: structure, colors, spacing, symmetry, amount of text, fonts, and more. In our study we investigated how users' first impressions of websites are influenced by two design factors: 1. Visual complexity -- how complex the visual design of a website looks 2. Prototypicality -- how representative a design looks for a certain category of websites We presented screenshots of existing websites that varied in both of these factors -- visual complexity and prototypicality -- and asked users to rate their beauty. The results show that both visual complexity and prototypicality play crucial roles in the process of forming an aesthetic judgment. It happens within incredibly short timeframes between 17 and 50 milliseconds. By comparison, the average blink of an eye takes 100 to 400 milliseconds. And these two factors are interrelated: if the visual complexity of a website is high, users perceive it as less beautiful, even if the design is familiar. And if the design is unfamiliar -- i.e., the site has low prototypicality -- users judge it as uglier, even if it’s simple. In other words, users strongly prefer website designs that look both simple (low complexity) and familiar (high prototypicality). That means if you’re designing a website, you’ll want to consider both factors. Designs that contradict what users typically expect of a website may hurt users’ first impression and damage their expectations. Recent research shows that negative product expectations lead to lower satisfaction in product interaction -- a downward spiral you’ll want to avoid. Go for simple and familiar if you want to appeal to your users’ sense of beauty. Labels: * Human-Computer Interaction and Visualization OTHER POSTS OF INTEREST * April 17, 2024 Robust speech recognition in AR through infinite virtual rooms with acoustic modeling * Human-Computer Interaction and Visualization · * Machine Perception · * Speech Processing * March 20, 2024 Computer-aided diagnosis for lung cancer screening * Health & Bioscience · * Human-Computer Interaction and Visualization · * Machine Intelligence * March 19, 2024 ScreenAI: A visual language model for UI and visually-situated language understanding * Human-Computer Interaction and Visualization · * Machine Intelligence Follow us * * * * * About Google * Google Products * Privacy * Terms * Help * Submit feedback