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Silent Reading Time: 4 minutes

Hello! As an AI-powered conversation interface, I strive to provide an engaging and interactive experience for all users, regardless of their background or interests. Let's dive into the world of advanced conversation interfaces and explore the possibilities!”

The term "chatbot" may no longer accurately encompass the full capabilities and potential of the latest AI-powered conversation interfaces. With the latest advancements in AI, the generative language assistants have evolved beyond simple chatbots, offering more sophisticated interaction flows and personalized experiences with users.

It's crucial to embrace this shift as we strive to create more user-friendly experiences through UX/UI design.

Creating User Designs for Generative Answer Platforms

Until recently we used to consider interactions with chatbots as robotic. You would ask something and it would offer you a closed, pre-designed and prepared response, assuming it understood your intention. If a friend answered you this way over and over again, you would feel uncomfortable. Now, robotic interactions are becoming outdated due to the new ability of AI to provide contextual self-generated responses according to the conversation.

Many people know about ChatGPT or have heard of it. Even if they haven't used it, many have seen videos or images of how it works and how it seems to respond like a human. This has changed users' expectations, and they increasingly expect interfaces where these conversations are reflected in a way that is more in line with these new advances.

The new day-to-day of a UX/UI designer in generative chatbots is both exciting and challenging. Their primary responsibility is to rethink user-friendly interfaces for conversing with intelligent information systems that bring new conversation characteristics:

1. Multi-intent conversations - for example, when we talk with a friend, most conversations go back and forth between different ideas or topics without losing track on the original conversion intent. Until a few months ago, chatbots could not pick up on the context and adapt the conversation on the fly, but now information systems are capable of doing this and the challenge is to build conversation prompts that make this functionality easily perceptible in the conversational interface.
2. Open-ended conversations - Designers need to understand how generative conversations go and make sense of user feedback. Scrubbing long list of questions-responses won’t bring much value with generative information systems. Designers have to go beyond the old fashion service analysis if they want to extract valuable insights. This will require new administration capabilities that can simplify and partially automate the work of reviewing the conversations outcome (positive or negative) before taking UX decisions.
3. Adaptive conversations - depending on the context, people may want to have an extensive conversation or simply get a clear and simple answer. Your office mate may need to know in-depth information about the client and the project, or they may just need to know if the client is happy with their work. Therefore, designers should also prepare themselves to provide a good experience for both long and short responses that are well-structured and visually appealing to be well-received by the user, taking into account the interface should be responsive, compatible with different devices and screen sizes. This requires optimising the timing of words, controlling message pauses, and customising the behaviour of generative language models given their response time performance is directly correlated to the platform capabilities.
4. Multi-channel conversations - most chatbots are accessed by users through the same channel, either a web page or WhatsApp. Nevertheless as communication with generative systems will become more ubiquitous in users everyday life, we can expect conversations to span across different channels and medium (like text and voice). It means the designer has to prepare for all these scenarios by understanding the nuances and adapting the experience to each communication interface.

In conclusion UX designers now need to work with NLP engineers to comprehend the impact of technology on user experience. It is important to create interfaces that leverage the generative language model's capabilities, taking into account the chatbot's mission, personality, tone, and style of communication. UX designers have to expand their mindset and learn from natural language experts to emulate human communications with the latest NLP/NLG systems.

What this means for ChatFAQ?

At WITH, we recognize the need to adapt to the evolving landscape of AI-powered conversation interfaces. We are living exciting times where advances in the ability to integrate human communicative capabilities into AI systems is improving not just every month, but almost every day. Our focus is on managing the dynamics of message generation in language models to ensure a seamless and natural conversation experience. We are constantly detecting and integrating all these details to achieve that the information is rendered and assimilated in a fluid and natural way.

Definitely, UX/UI design is a critical component of this evolution, as it can greatly impact the user's experience and the adoption of a new user conversation interfaces. It has become essential to ensure that products and services are not only functional but also user-friendly, with a carefully designed interface and conversational flow to create a fully engaging experience.

All this work is important in the design of ChatFAQ because we want to give the opportunity to our developers community to customize and use the platform according to the needs of their project. Having a flexible tool that puts emphasis on the user experience adds unique value to increase adoption of generative chatbot interfaces.

Stay tuned for upcoming insights!