Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(20)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(5)

Manufacturing(1)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(31)

Technology Modernization(8)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(38)

Insurtech(66)

Product Innovation(58)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(149)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(7)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(47)

Natural Language Processing(14)

expand Menu Filters

Designing for Web 3.0

3 minutes 46 seconds read

We’ve discussed blockchain, Metaverse, and  Mixed Reality in our previous blogs showcasing perspectives from different industries on how this virtual world is helping businesses to boost customer experience.

But in order to give an exceptional user experience, it is imperative to know what its target audience wants in terms of design. What will be the role of design in web 3.0 and what will be the challenges in creating a good design for these users?

Since the 1990s the internet world has evolved three times: web 1.0 (1990-2004), web 2.0(2004-Current), & Web 3.0 ( New ). 

Web 3.0 includes modern internet technologies such as blockchain, cryptocurrency, non-fungible tokens (NFTs), & Metaverse (AR, VR & Mixed Reality). 

Web Trends

The newer target customers – millennials and Generation Z (also known as Internet Generation) are living in Web 3.0. Their life revolves around technology. What they want is a smarter and more intelligent experience. In the world of Web 3.0, customer experience (CX) is based on user recommendations, automatic chatbots, and advanced search results leveraging machine learning, improved connectivity etc. 

Comparison between Web 2.0 and Web 3.0

Image Credit: Navdeep Yadav 

Renowned companies like JPMorgan Chase, HSBC, Gucci, Coca Cola are dabbling in the Metaverse.

“According to citi report, the Metaverse could be an $8-13 trillion dollar market by 2030.”

Metaverse Taxonomy

Metaverse taxonomy

Why should you care about ‘Web 3.0’ when designing?

Traction follows the money. That is why huge companies are interested in it. In order to give a web immersive experience to the current audience, we need to understand how designers can create web 3.0 experiences for the audience.

Web 3.0

Design is at the forefront of global transition with a newer set of customer expectations driving the market. The challenges in designing for the metaverse (VR, AR & MR) are numerous, as there is no clearly defined solution. Here are a few points to keep in mind while designing for Web 3.0 users:

Design for Blockchain: For the design industry, there is no clarity about how designers can adapt to web3.0 trends for giving a better user experience. However, some industry leaders suggest that to develop a web 3.0 site, one must first understand blockchain technology from a design perspective, such as the challenges this technology can present. Because the audience is not aware of the blockchain’s advantages & limitations. 

Designers can create web experiences by considering: visitors’ attention, simplifying complex elements, designing unique visual elements, maintaining a brand identity, and other things.

Design for VR: When a designer creates a VR experience for the users it is necessary to create a good immersive experience. Even though there is no final standard design guideline in the industry, what can be useful while designing is understanding people and the platform you design for, visualizing the interaction keeping user convenience at the center, considering head tracking, preventing motion sickness, and creating a guideline for the user.

Design for AR: While designing for AR, understanding the actual problem and ensuring that AR is the right channel to solve the problem, with clear business and user objectives is necessary. Another important thing is to understand the hardware capabilities. When you start designing the visual, don’t limit yourself to rectangles because in the AR experience users have a complete real-world environment.

Design for MR: Mixed Reality is a great change in the new internet world & designing for Mixed reality is a challenging job for designers. You can consider some UX principles while designing,

  • Provide your users with instinctual interactions through hand, eye, and voice inputs,
  • Learn how to interact with holograms at close range with a user’s hands or at long range with precise interactions,
  • Use voice commands as input in your immersive apps to control surrounding holograms and environments,
  • Add a new level of context and human understanding to a holographic experience by using information about what your users are looking at

Conclusion:

According to Gartner, 25% of people will spend at least one hour a day in the metaverse for work, shopping, education, social, and/or entertainment, by 2026. 

Today’s new-age customers feel more comfortable interacting and socializing with their peers in the virtual space and the new internet space is offering immersive experiences to people. This new trend has not been fully adopted by the whole world yet, but the pandemic has accelerated its adoption, and industries and users are looking at Web 3.0 as a new opportunity to transact and interact. To remain competitive, designers need to understand, learn, explore and observe more closely this evolving web world to create a better design for today’s users.

About the Author:

Praduman is a self-taught, passionate designer at Mantra Labs’ UI/UX team. His focus is on designing user-friendly interfaces using human-centered principles. Currently he is exploring how the metaverse affects human psychology. He loves to listen to podcasts and read current affairs.

Want to know more about the latest in Blockchain?

Read our blog: Solana: The next in Blockchain

Cancel

Knowledge thats worth delivered in your inbox

Smart Machines & Smarter Humans: AI in the Manufacturing Industry

We have all witnessed Industrial Revolutions reshape manufacturing, not just once, but multiple times throughout history. Yet perhaps “revolution” isn’t quite the right word. These were transitions, careful orchestrations of human adaptation, and technological advancement. From hand production to machine tools, from steam power to assembly lines, each transition proved something remarkable: as machines evolved, human capabilities expanded rather than diminished.

Take the First Industrial Revolution, where the shift from manual production to machinery didn’t replace craftsmen, it transformed them into skilled machine operators. The steam engine didn’t eliminate jobs; it created entirely new categories of work. When chemical manufacturing processes emerged, they didn’t displace workers; they birthed manufacturing job roles. With each advancement, the workforce didn’t shrink—it evolved, adapted, and ultimately thrived.

Today, we’re witnessing another manufacturing transformation on factory floors worldwide. But unlike the mechanical transformations of the past, this one is digital, driven by artificial intelligence(AI) working alongside human expertise. Just as our predecessors didn’t simply survive the mechanical revolution but mastered it, today’s workforce isn’t being replaced by AI in manufacturing,  they’re becoming AI conductors, orchestrating a symphony of smart machines, industrial IoT (IIoT), and intelligent automation that amplify human productivity in ways the steam engine’s inventors could never have imagined.

Let’s explore how this new breed of human-AI collaboration is reshaping manufacturing, making work not just smarter, but fundamentally more human. 

Tools and Techniques Enhancing Workforce Productivity

1. Augmented Reality: Bringing Instructions to Life

AI-powered augmented reality (AR) is revolutionizing assembly lines, equipment, and maintenance on factory floors. Imagine a technician troubleshooting complex machinery while wearing AR glasses that overlay real-time instructions. Microsoft HoloLens merges physical environments with AI-driven digital overlays, providing immersive step-by-step guidance. Meanwhile, PTC Vuforia’s AR solutions offer comprehensive real-time guidance and expert support by visualizing machine components and manufacturing processes. Ford’s AI-driven AR applications of HoloLens have cut design errors and improved assembly efficiency, making smart manufacturing more precise and faster.

2. Vision-Based Quality Control: Flawless Production Lines

Identifying minute defects on fast-moving production lines is nearly impossible for the human eye, but AI-driven computer vision systems are revolutionizing quality control in manufacturing. Landing AI customizes AI defect detection models to identify irregularities unique to a factory’s production environment, while Cognex’s high-speed image recognition solutions achieve up to 99.9% defect detection accuracy. With these AI-powered quality control tools, manufacturers have reduced inspection time by 70%, improving the overall product quality without halting production lines.

3. Digital Twins: Simulating the Factory in Real Time

Digital twins—virtual replicas of physical assets are transforming real-time monitoring and operational efficiency. Siemens MindSphere provides a cloud-based AI platform that connects factory equipment for real-time data analytics and actionable insights. GE Digital’s Predix enables predictive maintenance by simulating different scenarios to identify potential failures before they happen. By leveraging AI-driven digital twins, industries have reported a 20% reduction in downtime, with the global digital twin market projected to grow at a CAGR of 61.3% by 2028

4. Human-Machine Interfaces: Intuitive Control Panels

Traditional control panels are being replaced by intuitive AI-powered human-machine interfaces (HMIs) which simplify machine operations and predictive maintenance. Rockwell Automation’s FactoryTalk uses AI analytics to provide real-time performance analytics, allowing operators to anticipate machine malfunctions and optimize operations. Schneider Electric’s EcoStruxure incorporates predictive analytics to simplify maintenance schedules and improve decision-making.

5. Generative AI: Crafting Smarter Factory Layouts

Generative AI is transforming factory layout planning by turning it into a data-driven process. Autodesk Fusion 360 Generative Design evaluates thousands of layout configurations to determine the best possible arrangement based on production constraints. This allows manufacturers to visualize and select the most efficient setup, which has led to a 40% improvement in space utilization and a 25% reduction in material waste. By simulating layouts, manufacturers can boost productivity, efficiency and worker safety.

6. Wearable AI Devices: Hands-Free Assistance

Wearable AI devices are becoming essential tools for enhancing worker safety and efficiency on the factory floor. DAQRI smart helmets provide workers with real-time information and alerts, while RealWear HMT-1 offers voice-controlled access to data and maintenance instructions. These AI-integrated wearable devices are transforming the way workers interact with machinery, boosting productivity by 20% and reducing machine downtime by 25%.

7. Conversational AI: Simplifying Operations with Voice Commands

Conversational AI is simplifying factory operations with natural language processing (NLP), allowing workers to request updates, check machine status, and adjust schedules using voice commands. IBM Watson Assistant and AWS AI services make these interactions seamless by providing real-time insights. Factories have seen a reduction in response time for operational queries thanks to these tools, with IBM Watson helping streamline machine monitoring and decision-making processes.

Conclusion: The Future of Manufacturing Is Here

Every industrial revolution has sparked the same fear, machines will take over. But history tells a different story. With every technological leap, humans haven’t been replaced; they’ve adapted, evolved, and found new ways to work smarter. AI is no different. It’s not here to take over; it’s here to assist, making factories faster, safer, and more productive than ever.

From AR-powered guidance to AI-driven quality control, the factory floor is no longer just about machinery, it’s about collaboration between human expertise and intelligent systems. And at Mantra Labs, we’re diving deep into this transformation, helping businesses unlock the true potential of AI in manufacturing.

Want to see how AI-powered Augmented Reality is revolutionizing the manufacturing industry? Stay tuned for our next blog, where we’ll explore how AI in AR is reshaping assembly, troubleshooting, and worker training—one digital overlay at a time.

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot