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10 Most Important Interaction Design Principles

7 minutes, 7 seconds read

The process of interaction design involves studying the behavior and structure of interactive systems and implementing them for developing useful digital products. In other words, interaction design is the relationship between user and product and the services they use.

The purpose of interaction design is to create a great user experience. That’s why most of the UI disciplines require understanding and hands-on experience of interaction design principles. After all, it’s about designing for the entire interconnected system: the device, interface, context, environment, and people. Interaction designers strive to create meaningful relationships between people and the products and services they use. It may include computers, mobile devices, gadgets, appliances, and more.

It is important to understand ux design best practices while developing complex web and mobile applications. These are the key elements that product designers should not neglect while creating an interface for the user. 

The 10 most important interaction design principles are-

  1. UX: Match user experience and expectations
  2. Consistent design: Maintain consistency throughout the application
  3. Functionality: Follow functional minimalism
  4. Cognition: Reduce cognitive loads/mental pressure to understand the application
  5. Engagement: Design interactively such that it keeps the user engaged.
  6. User control: Allow the user to control, trust, and explore
  7. Perceivability: Invite interactions through intuitions and interactive media
  8. Learnability: Make user interactions easy to learn and remember
  9. Error handling: Take care to prevent errors, if they occur make sure to detect and recover them.
  10. Affordability: Simulate actions by taking inspiration from usual and physical world interactions.

10 Important Interaction Design Principles

#1 Match user experience and expectations

By matching the sequence of steps, layout of information, and terminology used with the expectation and prior experiences of the users, designers can reduce the friction and discomfort of learning a new system.

You can match your audience’s prior experiences and expectations by using common conventions or UI patterns, for example, Hitee Chatbot.

#2 Consistency

Along with matching people’s expectations through terminology, layout, and interactions, the design should be consistent throughout the process and between related applications. 

By maintaining consistency, you are helping users learn more quickly. You can re-apply their prior experiences from one part of an application to another to maintain consistency throughout the design. Design consistency is also an aid to intuitive interfaces.

Bonus – you can use the inconsistencies to indicate to users where things might not work the way they expect. Breaking consistency is similar to knowing when to be unconventional.

#3 Functional minimalism

“Everything should be made as simple as possible, but no simpler.” 

Albert Einstein

The range of possible actions should be no more than is absolutely necessary. Providing too many options will detract the primary function and reduce usability by overwhelming the user with choices. To achieve the Zen of functional minimalism, you should-

  1. Avoid unnecessary features and functions
  2. Break complex tasks into manageable sub-tasks
  3. Limit functions rather than the user experience.

#4 Cognitive loads

Cognition refers to the “process of thoughts.” A good user interactive design minimizes the user’s “effort to think” to complete a task. Another way to put this is that a good assistant uses his skills to help the master focus on his skills.

For instance, while designing an interactive interface, we need to understand how much concentration a task requires to complete it. Accordingly, you can design the UI that reduces the cognitive load as much as possible. 

Here’s a technique to reduce users’ “thinking work.” Focus on what the computer is good at and build a system that utilizes its abilities to the fullest. Remember, computers are good at-

  • Maths
  • Remembering things
  • Keeping track of things
  • Comparing things
  • Spell Checking and spotting/correcting errors

The point is – by knowing the attributes of users and products, one can create a design for a better user experience.

#5 Engagement

In terms of user experience, engagement is the measure of the extent to which the user has a positive experience with your product. An engaging experience is not only enjoyable but also easier and productive. Engagement is subjective to the system. I.e. your design must engage with the desired audience. For instance, what appeals to teenagers might be irrelevant to their grandparents. Apart from aligning your design for the appropriate audience, achieving and creating control is the key.

The interaction design principles state that users should always feel like they’re in control of the experience. They must constantly experience a sense of achievement through positive feedback/results or feel like they’ve created something.

In his book “Flow,” Mihaly Csikszentmihalyi describes a state of optimal experience where people are so engaged in the activity that the rest of the world falls away. Flow is what we’re looking to achieve through engaging interactions. We should allow users to concentrate on their work and not on the user interface. In short, stay out of the way!

#6 Control, trust, and explorability

Good interaction design should incorporate control, trust, and explorability to any system. If users feel in control of the process, they’ll be more comfortable using the system. If the user is comfortable and in control, they’ll trust the system and believe that the application will prevent them from making an unrecoverable error or from feeling stupid. Trust inspires confidence and with confidence, the user is free to explore further. Intuitive interfaces are extremely good at stimulating users to navigate and explore the app.

#7 Perceivability

People are aware of the opportunity to interact with interactive media. As interface designers, we must avoid developing hidden interactions, which decrease the usability, efficiency, and user experiences. In other words, people should not have to guess or look for opportunities to interact.

When developing interactive media, users should have the ability to review an interface and identify where they can interact. We must remember that not everyone experiences and interacts with interface in the same way others do. In the process of interaction design, make it a habit to provide hints and indicators like buttons, icons, textures, textiles, etc. Let the user see that these visual cues can be clicked or tapped with their fingers. Always consider the usability and accessibility of the interactive media and how the user sees and perceives the objects in the interface.

#8 Learnability

Another important interaction design principle is inducing the ability to learn to use the interface easily. In other words, users should be able to learn to use the interface in the first attempt and should not face issues using it again. Please note that engaging interfaces allow users to easily learn and remember the interactions.

Even though simple interfaces may require a certain amount of experience to learn, learnability makes interaction intuitive. People tend to interact with an interface similar to other interfaces. This is the reason why we must understand the process of interaction design thoroughly and the importance of design patterns and consistency. 

Intuitive interface design allows users to learn to use the interface without much effort and gives them a sense of achievement. They feel smart and capable of grasping and utilizing newer interfaces. In a nutshell, product designers should let the user feel confident while navigating through the interface.

#9 Error prevention, detection, and recovery

The best way to reduce the number of errors a user makes is to anticipate possible mistakes and prevent them from happening in the first place. If the errors are unavoidable, we need to make them easy to spot and help the user to recover from them quickly and without unnecessary friction.

Error prevention techniques-

  • Disabling functions that aren’t relevant to the user
  • Using appropriate controls to constrain inputs (e.g. radio buttons, dropdowns, etc.)
  • Providing clear instructions and preemptive help
  • As a last resort, provide clear warning messages.

How to handle application errors through design?

Anticipate possible errors and provide feedback that helps users verify that-

  1. They’ve done what they intended to do.
  2. What they intended to do was correct.

Please note that providing feedback by changing the visuals of the object is more noticeable than a written message.

Error recovery techniques – 

If the error is unavoidable, provide direction to the user to recover from it. For example, you can provide “back,” “undo,” or “cancel” buttons.

If a specific action is irreversible, you should flag it “critical” and make the user confirm first to prevent slip-ups. Alternatively, you can create a system that naturally defaults to a less harmful state. For example, closing a document without saving it should be intelligent enough to know the unlikely behavior of the user. It can either auto-save or display a warning.

The spectrum of user interface : interaction design principles

#10 Affordance

Affordance is the quality of an object that allows an individual to perform an action. For example, a standard household light switch appears innately clickable. 

The point is – users should get a clue about how to use an abject through its physical appearance. While designing user interfaces, you can achieve affordance either by simulating ‘physical world’ affordances (e.g. buttons or switches) or keeping consistency with web standards and interface design elements (e.g. underlined links or default button styles). The thing is, in an intuitive interface, users are able to navigate and use the functionalities of the application without any formal training.

Interaction design is not always about creating a better interface for the users; it is also about using technology in the way people want. It is necessary to know the target users to design a desirable product for them. Interactive design is the basis for the success of any product. These 10 interaction design principles are based on the study and experiences of our team in designing mobile and web apps for a broad product portfolio and on multiple mobile and web platforms.

Drop us a word at hello@mantralabsglobal.com to learn more about our interaction design projects and services.

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Manufacturing 4.0: How Augmented Reality is Reshaping the Factory Floor

Augmented reality began in a lab at Harvard back in the 1960s, and over the years, it has been used for defense, sports, entertainment, and gaming applications, among others. Most of us got our first taste of augmented reality while chasing Pikachu through city streets in Pokémon Go. But in factories, AR isn’t about catching ’em all—it’s about keeping production lines running smoothly, minimizing errors, and turning workers into efficiency powerhouses with a simple glance through a headset. 

In manufacturing, AR has evolved beyond simple overlays to become a transformative force, seamlessly integrating with Artificial Intelligence (AI), IoT, and digital twin technologies. We all recognize the value AR brings to manufacturing, but what happens when AI enhances AR? How is AR transforming the industry, and how does it work? That’s exactly what we’ll explore in this blog.

The Next Evolution of AR in Manufacturing

Manufacturing is no longer just about automation, it’s about augmentation. AI is helping AR enable a new level of precision, real-time decision-making, and predictive capabilities that were once considered futuristic. Let’s take a closer look at how AR is elevating factory operations today.

1. AI-powered AR for Adaptive Workflows

Picture this: you’re on a bustling factory floor, working on an intricate assembly task. Traditional AR systems would simply float static instructions in front of you like flipping through a digital manual that doesn’t know if you’re stuck or making a mistake. Helpful? Sure. Dynamic? Not so much.

Now just imagine you are working with AI-powered AR which doesn’t just display instructions, it learns, adapts, and reacts. These intelligent systems analyze your workflow in real-time, adjusting guidance based on how you’re performing, the machine conditions around you, and even environmental factors. Hesitate on a step? The system modifies the instructions instantly. Does a component deviate from standard specifications? AR overlays flag the issue before it snowballs into a costly error.

Companies like PTC and Vuforia are pioneering AI-driven AR solutions, analyzing operator performance to deliver real-time coaching. How Volkswagen has integrated AI-driven AR into its assembly lines, automatically detecting errors and suggesting corrections to workers on the spot, significantly reducing rework time.

2. AR and IoT: The Connected Factory

What if the mere thought of ‘I wish these machines could just communicate’ could be true? AR, when combined with IoT, transforms equipment into interactive entities, providing real-time sensor data directly overlaid onto machinery. Instead of waiting for a malfunction, workers can spot anomalies, take proactive measures, and keep production lines running smoothly.

Siemens has already embraced this technology, equipping workers with AR dashboards that display real-time diagnostics and alerts, significantly reducing unexpected machine failures. According to Deloitte, Factories integrating AR-powered IoT solutions drop machine failure rates, leading to reduced downtime and operational costs.

3. AR-Enabled Remote Collaboration and Assistance

In the past, troubleshooting a complex issue on the factory floor meant waiting for an expert to arrive, causing delays in production. But with AI-powered AR, remote collaboration has become seamless. Experts can now “see” exactly what you see, overlaying real-time annotations, guiding your hands, and helping resolve issues instantly! no waiting, no guesswork.

Airbus has developed AR-based remote assistance solutions where engineers worldwide provide instant support to factory workers, reducing troubleshooting time by 60%. Similarly, Caterpillar’s AR-powered remote support system has led to a 50% reduction in equipment downtime, directly improving operational efficiency.

Source: Belcan.com

4. AR-Driven Digital Twins for Real-Time Decision Making

The virtual replica of your factory floor is not just imagination, it’s a reality with digital twin technology. Imagine standing in your factory and seeing a real-time, interactive model of the entire operation floating in front of you. These AI-powered digital twins mirror every aspect of your machinery and workflow, allowing workers to test processes, predict failures, and optimize operations before making real-world changes.

Instead of relying on outdated reports or delayed diagnostics, workers can access instant, data-driven insights overlaid onto their environment. This helps them tweak operations on the go without shutting down production. Whether optimizing machine performance, identifying bottlenecks, or improving workflow efficiency, digital twins give workers the power to make smarter, faster decisions right on the spot.

GE integrates AR with digital twins, allowing engineers to simulate and optimize workflows before execution, minimizing errors and improving efficiency. Companies leveraging AR-driven digital twins report a 40% boost in operational efficiency, making real-time decision-making more data-driven than ever.

5. AR in Workforce Development: AI-Coached Training and Skill Retention

Forget static manuals and lengthy onboarding sessions, AR is revolutionizing training by offering augmented reality training immersive, AI-assisted learning experiences tailored to individual skill levels. Workers learn by doing, receiving real-time, interactive guidance that accelerates skill acquisition and improves long-term retention.

Lockheed Martin has implemented AR-driven training programs, which have reduced the time required for workers to master complex assembly tasks. AI-integrated AR training systems can even predict potential human errors before they occur, offering instant corrective feedback and creating a more proactive, skilled workforce.

Source: Mantra Research

The Impact of AR on Manufacturing

The adoption of AR in smart manufacturing has not just improved the quality of output but has transformed the entire industry. By enabling real-time decision-making, predictive maintenance, and adaptive learning, AR is creating more agile, efficient, and error-free production environments. Workers are experiencing faster task completion rates, fewer errors, and enhanced safety measures, while companies are seeing increased ROI, reduced downtime, and higher production yields.

According to a PwC report, companies implementing AR in industrial settings have achieved a 32% improvement in productivity and a 25% reduction in errors. These advancements are not just making production lines smarter but also reshaping the role of human workers, empowering them with real-time insights and hands-free operational guidance.

Conclusion:

With AI-powered Augmented Reality on factory floors, the manufacturing industry has evolved in every way possible. AI is not just assisting AR—it’s amplifying its impact. Machine efficiency has soared, processes have become more seamless, and workers are now equipped with real-time insights that make their jobs more engaging and rewarding. Error rates have dropped drastically, and safety concerns are becoming a thing of the past, thanks to AI-driven predictive alerts and color-coded warnings that flag potential issues before they escalate.

But the real game-changer? Precision and quality. AI’s ability to analyze and adapt in real time has led to higher product quality, reduced downtime, and smarter workflows. The result – factories that are not just automated, but intelligently optimized.

At Mantra Labs, we build AI-driven solutions that help businesses scale sustainably, reduce inefficiencies, and streamline operations. From minimizing downtime to optimizing supply chains, we make manufacturing smarter and more resilient.

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