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The Role of Typography in UI Design and How to Get Better at It

More than 90% of information on the web is presented in the form of text. “Text” is a medium of communication in the context of web design that attracts the users, holds their attention, conveys a certain emotion, and helps users understand the kind of information provided. Here’s where typography comes into play. It is used to justify the power of the textual content, trigger curiosity, compel the users to continue reading, and ensure a great user experience (UX). 

However, typography involves a lot more than choosing an aesthetic font for your web or mobile UI. The color and contrasts, font scales, white space, alignment, text hierarchy, consistency, and other elements in your typography can enhance usability, clarity, readability, and accessibility within a UI design. A designer’s ability to choose the right typography makes all the difference between a good, bad, and excellent design.

In this blog post, we will explore everything you need to know about typography, its importance in UI design, and how to choose the correct typeface for your web project.

What is Typography?

Most of us are aware of the terminology, but let’s start with the basics.

Typography is the art of arranging textual elements such as typefaces (a set of design features for letters and other characters like spacing, relative size, etc.) in the right combination that aims to convey certain messages to viewers and bring out desired emotions.

Why is Typography so important in UI Design?

When users visit a website or mobile app, they often scan through the pages instead of reading the content line by line to see if it has the information they are looking for. A well-organized and scanable typography can, therefore, serve as a visual communication tool to convey interface text in a clear hierarchy and help impress, engage, and convince users and potential customers, as a result. Let’s see why a good typography is critical for visual design.

1. Communicate clearly

Good typography makes the journey easier for the users, whether they are reading intently or scanning through the content casually. It helps users to skim through the available information and thoroughly read the sections they are more interested in, thereby improving navigability. It also helps the users to get a good hold of the information faster without having to pay more attention.

2. Attract user attention

Today users are spoilt for choice when it comes to the vast number of websites and content on the internet. But it is more likely that they will get more attracted to sources that offer a better visually pleasing experience. The right typography can enable you to set the exact mood of the content for the users by offering a sense of familiarity, desirability, and emotional connection as well as capture attention through the size, weight, color, and spacing of the text.

3. Build Brand Recognition

Brands choose specific fonts and use them across all their communication collaterals to build recognition, a sense of harmony, and consistency throughout the visual design. It helps in offering the users the same brand experience through all channels, be it on-screen or off-screen.

For example, Coca-Cola’s font is instantly recognizable with its Spencerian Script font which gives a consistent experience for users and prospects.

4. Influence Decisions

Typography also plays a crucial role in compelling users to take a desired action (register, sign up for a newsletter, download, share, or buy a product, etc.) on websites and mobile apps. For instance, a limited-time offer or deal when highlighted can convey urgency and persuade the user to take action.

How to Choose the Right Typography for Your UI Project?

When you have a clear understanding of the different essential elements and principles of typography, you can learn how to use it effectively in context through practice. Making the right choice depends on many factors besides the aesthetics, such as:

  • The brand or product personality: Consider what defines the core characteristics of the brand and select typefaces that reflect them.
  • The tone of the brand message: Make sure to choose the typography that is appropriate for the information conveyed by the brand.
  • Functionality: Make sure that the font is legible, readable, and accessible. This is more important than looking stylistically beautiful.
  • Performance: Choose typefaces that are web browser-friendly such as Google fonts. Avoid excess weight!
  • Inspiration: Take some cues from successful examples when you are not sure where to start. Let’s take the example of Airbnb and see some of the elements that make its typography so good and apt.
  • Visual hierarchy and contrast: When users start their journey on your website or app, they are in the discovery stage where they browse through the website content. In this stage, not every information you provide on your UI seems to be important to them. So, the right visual hierarchy can help these users move on to the next stage of the journey.

In the example of Airbnb, we can see that the brand has used only 3 font sizes predominantly. This makes the text clean and consistent. Also, all the important pieces of text that can potentially influence decision-making, are in Semibold and the less important content or the descriptive body is in Regular font. Note that the price at the bottom is given extra visual weight.

  • Leading and Spacing: The characters do not bump into each other and the ample leading space used in the body text makes it very easy to read. The page header, in contrast, has a reduced leading and keeps the text visually together. Use smaller leading for larger font sizes and higher for small font sizes.
  • Legibility: The entire Airbnb page uses the #222222 hex code for black except for the really low-priority text. This makes the text extremely legible.

Conclusion

Visual designers often overlook typography while focusing on graphic design, icons, illustrations, color palettes, and other elements. Good typography can do a lot for your user interface and this is why UI designers treat typography as design and use it for visual impact.

There are a lot many factors to consider when choosing the right typography other than what we have covered in this post. But, focusing on the ones mentioned above can also help improve your design game in one way or another.

Don’t forget to test, test, and test to get useful feedback from real users and take notes from some of your favorite websites and apps to get a clearer insight into what is working, and what you can do further.

About the author 

Shantanu Laha is a Senior UI/UX designer at Mantra Labs. He loves photography and traveling. In his free time, he enjoys cooking and trying out new dishes.

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Conversational UI in Healthcare: Enhancing Patient Interaction with Chatbots

As healthcare becomes more patient-centric, the demand for efficient and personalized care continues to grow. One of the key technologies that have gained traction in this domain is Conversational UI (CUI) — a user interface where interactions occur through natural language, often with the help of chatbots. For developers, building a robust CUI in healthcare requires a balance of technical proficiency, understanding of the healthcare landscape, and empathy toward patient needs. Let’s explore how CUI can improve patient interactions through chatbots and what developers should consider during implementation.

Why Conversational UI is Gaining Popularity in Healthcare

From scheduling appointments to answering medical queries, healthcare chatbots have become vital tools for enhancing patient engagement and streamlining healthcare workflows. Conversational UIs enable these chatbots to interact with patients naturally, making them accessible even to non-tech-savvy users. By incorporating AI and NLP (Natural Language Processing), chatbots can now simulate human-like conversations, ensuring patients receive timely, relevant responses. 

Image credit: https://www.analytixlabs.co.in/blog/ai-chatbots-in-healthcare/ 

Key Areas Where Chatbots Are Revolutionizing Healthcare

  1. Appointment Scheduling and Reminders – Chatbots can automatically schedule appointments based on patient availability and send reminders before the visit, reducing no-show rates. For developers, this feature requires integration with hospital management systems (HMS) and calendar APIs. The challenge lies in ensuring secure and real-time data transfer while adhering to healthcare compliance standards like HIPAA.
  1. Medical Query Resolution– Chatbots equipped with NLP can answer common patient questions related to symptoms, medications, and treatment plans. This reduces the burden on healthcare providers, allowing them to focus on more critical tasks. Developers working on this feature need to consider integrating medical databases, such as SNOMED CT or ICD-10, for accurate and up-to-date information.
  1. Patient Monitoring and Follow-ups – Post-discharge, chatbots can monitor a patient’s condition by regularly asking for health updates (e.g., vital signs or medication adherence). Developers can integrate IoT devices, such as wearable health monitors, with chatbot platforms to collect real-time data, providing healthcare professionals with actionable insights.
  1. Mental Health Support – Chatbots have shown promise in offering mental health support by providing patients with an outlet to discuss their feelings and receive advice. Building these chatbots involves training them on therapeutic conversational frameworks like Cognitive Behavioral Therapy (CBT), ensuring they offer relevant advice while recognizing when a human intervention is required.

Key Considerations for Developers

1. Natural Language Processing (NLP) and AI Training

NLP plays a pivotal role in enabling chatbots to understand and process patient queries effectively. Developers must focus on the following:

Training Data: Start by gathering extensive datasets that include real-life medical queries and patient conversations. This ensures that the chatbot can recognize various intents and respond appropriately.

Multi-language Support: Healthcare is global, so building multi-lingual capabilities is critical. Using tools like Google’s BERT or Microsoft’s Turing-NLG models can help chatbots understand context in different languages.

Contextual Understanding: The chatbot must not just respond to individual queries but also maintain the context across the conversation. Developers can use contextual models that preserve the state of the conversation, ensuring personalized patient interactions.

2. Security and Compliance

Healthcare chatbots handle sensitive patient information, making security a top priority. Developers must ensure compliance with regulations such as HIPAA (Health Insurance Portability and Accountability Act) in the U.S. and GDPR (General Data Protection Regulation) in Europe. Key practices include:

  • Data Encryption: All communication between the chatbot and the server must be encrypted using protocols like TLS (Transport Layer Security).
  • Authentication Mechanisms: Implement two-factor authentication (2FA) to verify patient identity, especially for sensitive tasks like accessing medical records.
  • Anonymization: To avoid accidental data breaches, ensure that the chatbot anonymizes data where possible.

3. Seamless Integration with EHR Systems

For chatbots to be truly effective in healthcare, they must integrate seamlessly with Electronic Health Record (EHR) systems. This requires a deep understanding of healthcare APIs like FHIR (Fast Healthcare Interoperability Resources) or HL7. Developers should aim to:

  • Enable Real-time Updates: Ensure that chatbot interactions (e.g., new appointment schedules, and symptom checks) are instantly reflected in the patient’s EHR.
  • Avoid Data Silos: Ensure that all systems (EHR, chatbot, scheduling system) can communicate with each other, eliminating data silos that can lead to fragmented patient information.

4. Scalability and Performance Optimization

In healthcare, downtime can be critical. Developers need to ensure that chatbots are scalable and capable of handling thousands of patient interactions simultaneously. Using cloud-based platforms (AWS, Google Cloud) that offer auto-scaling capabilities can help. Additionally, performance optimization can be achieved by:

  • Caching Responses: Store frequently used responses (such as FAQs) in memory to speed up interaction times.
  • Load Balancing: Implement load balancers to distribute incoming queries across servers, ensuring no single server is overwhelmed.

Tools and Platforms for Building Healthcare Chatbots

Several tools and platforms can aid developers in building healthcare chatbots with conversational UIs:

  1. Dialogflow (Google): Offers pre-built healthcare intents and integrates with Google Cloud’s healthcare APIs.
  2. Microsoft Bot Framework: A scalable platform that integrates with Azure services and offers AI-driven insights.
  3. Rasa: An open-source NLP tool that provides flexibility in creating highly customized healthcare bots.

Conclusion

Conversational UI in healthcare is transforming patient care by offering real-time, scalable, and personalized interactions through chatbots. However, for developers, building these systems goes beyond programming chatbots — it involves understanding the unique challenges of healthcare, from regulatory compliance to seamless integration with hospital systems. By focusing on NLP capabilities, ensuring security and privacy, and integrating with existing healthcare infrastructure, developers can create chatbots that not only enhance patient interaction but also alleviate the burden on healthcare providers.

References

  1. NLP in Healthcare: Opportunities and Challenges
  2. HIPAA Compliance for Chatbots

About the Author:

Shristi is a creative professional with a passion for visual storytelling. She recently transitioned from the world of video and motion graphics to the exciting field of product design at Mantra Labs. When she’s not designing, she enjoys watching movies, traveling, and sharing her experiences through vlogs.

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