Skip to main content

Copilot - Calming Zen UX Spinner

 

Copilot - Transforming the Page Loading Spinner UX to infuse calm

Microsoft Philosophy:  We want to be thinking about how to use latency to reinforce learnings about the model’s limitations, in addition to ways to creatively infuse delight. How could we turn a moment of simply waiting into eager anticipation?


A Zen Page Loading UX

Certainly! I’m thrilled that you enjoyed the content. Let’s wrap up this journey with a compelling call-to-action:

A Zen Page Loading UX: Where Calm Meets Code

As a AI/ML enthusiast and avid user in her job, I’ve been diving deep into the world of AI-generated images using DALL·E integrated within Copilot. The results have left me spellbound—each image a masterpiece, meticulously crafted by Copilot’s creative algorithms. But there’s more to this journey than just the final output; it’s the serene bridge between anticipation and fulfillment that truly captivates me.

Copilot’s Magic and User-Perceived Latency

Copilot’s image creation process takes a tantalizing 10 to 20 seconds. Yes, there’s a brief pause, but the payoff is worth it. The images it conjures are nothing short of amazing and fascinating. As I wait, I find myself wondering: What’s happening behind the scenes? How does Copilot weave its magic?

The Calming Spinner: A Side-by-Side Comparison

Recently, I decided to compare Copilot’s page loading spinner with a traditional one. The difference was striking. The Zen Loading UX, as I affectionately call it, 15 seconds that invite you to pause, breathe, and appreciate the moment. It’s not just about loading content; it’s about creating an experience—a moment of calm before the storm of creativity. Copilot - Zen Page loading demo

Microsoft’s Visual Identity and AI Moments

Microsoft, too, understands the power of these moments. Their visual identity speaks volumes. When Copilot is at work during latency, it stands out. Vibrant accents and brand colors come alive, signaling that the model is active. Trust is built through transparency—you can lean into your judgment when evaluating the output. From a visual perspective, Microsoft wanted to use things like color and iconography to create and reinforce an understanding of the AI moments across Microsoft products. Using product brand colors and vibrant accents makes the product come alive when specifically interacting with AI features, clearly indicating that the model is active during moments of latency and differentiating it from the surrounding UI. The visual identity also clearly shows when Copilot is in use and/or has produced content, our aim being to build trust by allowing you to lean into your judgment insofar as critiquing the output

Copilot’s Design Philosophy on Zen Loading UX

While using copilot “Zen Loading UX,” - concept is embedded within the experience. Copilot’s philosophy aligns with crafting next-generation user experiences. It’s not just about functionality; it’s about enriching interactions. The Zen Loading UX seems to embody the ethos of —minimalistic, calming, and intentional. . Copilot’s design principles emphasize creating interfaces that are not only functional but also enrich the user’s interaction with technology, making it more intuitive and less intrusive"

The Journey Ahead: Mesmerizing, Relaxing, and Impactful

This is just the tip of the iceberg. Designers now have a canvas—a chance to enhance and expand upon this philosophy. Imagine capabilities that soothe, assist, and captivate—a harmonious blend of technology and mindfulness. We’re charting a course toward UX serenity, one pixel at a time.

So, the next time you encounter that Zen spinner, take a breath. Reflect. And know that behind the scenes, Copilot is weaving magic, turning anticipation into art.







Labels:

Popular posts from this blog

EU AI Act - Breakdown for data scientists

  Data Scientist Dilemma  Tools:Copilot and Dall.e for image generation, Gemini for content The EU AI Act: A Breakdown for Data Scientists The European Union's AI Act passed on Mar 13th 2024 is a landmark piece of legislation that promises to significantly impact the development and deployment of artificial intelligence (AI) models across the bloc. As a data scientist working with AI, understanding the Act's implications is crucial to ensure your work is compliant and ethically sound. What is the EU AI Act? The EU AI Act aims to establish a trustworthy AI ecosystem within the European Union. It classifies AI models based on their potential risk and sets out different requirements for each category. This blog post focuses on the key aspects relevant to data scientists. Risk Categories and Data Considerations The Act categorizes AI models into three risk levels: Unacceptable Risk, High Risk, and Minimal Risk. Unacceptable Risk:  These models pose a serious threat to fundame...
Read more

Different types of Bias in Models

  Fun AI generated Music Video on Model Bias Lyrics - by Gemini,  Voice and Music by Suno.ai Bias in a model refers to systematic errors or inaccuracies in predictions caused by factors such as skewed training data, algorithmic design, or assumptions made during model development. Bias in a model can lead to unfair or discriminatory outcomes, inaccurate predictions, and a lack of generalization to new or unseen data. Feedback Loop Bias: Description: Results from a feedback loop where the model's predictions influence user behavior, which in turn affects the data used to train the model, leading to biased predictions. Fintech Data Scientist Example (PayPal): If PayPal's fraud detection system incorrectly flags a legitimate transaction as fraudulent, resulting in the user being blocked from making further transactions, the user's subsequent behavior may be influenced by this experience, leading to biased data used to retrain the model. Social App Data Scientist Example (Me...
Read more

CFPB 1033 Open Banking and Comparison with PSD2

  CFPB  Open Banking +  Comparison with PSD2 Topics covered in this blog CFPB 1033 CFPB Open Banking CFPB Open Banking and AI Concerns Comparison with PSD2 Open Banking   Regulation CFPB 1033 On October 19, 2023, the  Consumer Financial Protection Bureau (CFPB)  released its long-awaited “Required Rulemaking on Personal Financial Data Rights” (Proposed Rule) for public comment. The CFPB proposed a rule that would bring large nonbank payment processors under its supervision, subjecting them to similar regulations as traditional banks. This rule primarily targets companies like: Apple Google Amazon Meta (formerly Facebook) Square PayPal Impact: Increased Scrutiny:  These fintechs would face stricter oversight regarding consumer protection, fair lending practices, and data privacy, similar to what banks experience. Focus on Large Players:  The rule is aimed at comp...
Read more