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Keeping the right balance when applying customization and personalization in product design is vital. Here are some techniques on how to achieve it.

How Much Personalization Is Enough in UX Design?
  • Personalization and customization are effective UX approaches that aid users in avoiding undesired content, but they can also cause new challenges.
  • The author covers the main drawbacks of excessive personalization and customization:
    • Lack of diversity;
    • Content redundancy;
    • “Creepy effect” of personalization;
    • Cognitive overload caused by overcustomization.
  • There are several practices, recommended by the author, that prevent overpersonalization and overcustomization:
    • Finding the right balance to maintain content diversity;
    • Using caution when handling potentially sensitive information;
    • Providing users with control when it is relevant;
    • Taking advantage of user feedback.
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10 min read

What to expect from Google after a GPT3 solution release?

Google’s Dilemma (GPT3)
  • Everyone is waiting for Google to respond to the GPT3 solution as Google possesses the necessary tools to develop the greatest AI solutions.
  • There is a significant distinction between the ways GPT3 and Google search operate:
    • GPT3 can access data and produce solutions while Google displays the best resources that might be available.
    • GPT3 is responsible for the answer it produces while Google is not.
    • GPT3 concentrates on producing the best possible response while Google anticipates your questions.
    • GPT3 represents the side of knowledge centralization while Google represents the diversity of knowledge.
  • According to the author, it’s crucial for Google to support websites that are the foundation of revenue and not change the way it works.
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3 min read

Banking and finance have dwelled in an ivory tower throughout their history.

Fintech UX Design Trends for 2023
  • Many banks are implementing innovative solutions to make the user experience not only effective but also fun.
  • The article covers the following fintech-driven trends:
    • gamification;
    • product identity;
    • centralization;
    • fully mobile banking;
    • social banking;
    • data visualization;
    • human language.
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5 min read

Generative AI is making headlines, in the literal sense.

5 Reasons to Embrace the Generative AI Hype
  • While some fear generative AI and see it as competition to human effort, it can be used as a collaboration tool.
  • The author describes five ways to adopt generative AI to benefit from it:
    • Use it as a tool for rapid ideation and, therefore, inspiration for creating.
    • Facilitate knowledge management that allows humans to test limitless possibilities AI generates.
    • Personalise experience for customers for building relationships with them.
    • Unload from routine tasks – making time for more sophisticated tasks.
    • Practice collective intelligence – generative Ai is being trained on millions of interactions with people making it a powerful “copilot” in various activities.
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5 min read

Delivering an outstanding user experience for your customers has become a challenge for organizations in recent years. A customer experience involves much more than excellent quality or service.

How Your Brand Experience Affects The User Experience
  • While excellent quality or service is important, a strong connection between a brand and a user ensures the best experience possible.
  • Branding is vital for a number of reasons:
    • it creates a feeling of trust;
    • it helps a customer to make a decision when comparing products from different companies.
  • There are various UX factors that are highly influenced by branding:
    • the logo and company colors;
    • the branding style;
    • the details of design.
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4 min read

Can artificial intelligence help people be more supportive of each other in online conversations? 

Can Human-AI Collaboration Enhance Empathy?
  • The author analyzes the recent study on the opportunity for open-ended, social, creative empathic discussions to benefit from feedback-driven, AI-in-the-loop writing systems.
  • Due to AI systems’ difficulty in comprehending complex human emotions and the open-ended nature of these jobs, such human-AI collaboration poses difficulties for more difficult, creative tasks, like carrying out empathetic discussions.
  • The author names a number of design opportunities and challenges when it comes to developing AI systems that support empathy.
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5 min read

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