Conversational UX in Chatbot Design

Many of these capabilities are already appearing as part of our devices today. Voice recognition accuracy has improved dramatically and language and reasoning programs have reached a useful level of sophistication. We still need better models of cooperation and collaboration, but those are also coming along. Putting it all together, we’ll soon have intent-driven, fully conversational interfaces that will be adaptable to just about anyone. That’s why I believe it’s finally time for the conversational user interface, or “CUI.”

To conclude, have a live chat solution to exemplify the conversational UI experience for your customers. And as these conversational interface systems become increasingly intelligent and attuned to our preferences, interactions will become even more human over time. People and machine systems will be able to have meaningful exchanges, working together to satisfy a goal (“That movie isn’t on now. Should I put on the LeBron James game instead?”). Ultimately, people will get direct access to the content they want and immediate responses from their devices.

Conversational Interfaces Challenges

Voice assistance uses AI and NLP to recognise voice commands and provide responses through voice recognition technology. They operate similarly to chatbots but communicate with users through audio. The core technologies upon with voice assistants function are Automated Voice recognition, Natural language Understanding, Business Logic, and Context. A conversational User Interface (CUI) is an interface that enables a computer to simulate or mimic human-to-human conversation via text or speech.

In one case, it may aim to reduce costs (e.g., a technical support bot), while in another, it may focus on increasing profits (often achieved with lead generation bots). UX design is not just about buttons, but conversational user interface rather emotional and sensory experiences that help solve users’ problems. Naturally, a chatbot script in a Google doc cannot deliver such experiences, so be sure to test your ideas with a good prototype.

Rule-based Chatbots

KLM, an international airline, allows customers to receive their boarding pass, booking confirmation, check-in details and flight status updates through Facebook Messenger. Customers can book flights on their website and opt to receive personalized messages on Messenger. A dynamic digital professional with 15+ years of digital experience in defining and managing the UX process from concept, research, and ideation to completion. Pick a ready to use chatbot template and customise it as per your needs. Conversational interfaces have become one of the echoing buzzwords of the marketing world. Now, after decades of being something from science fiction, it has become just another part of everyday life.

Past versions of CUI consisted of messenger-like conversations, for example, where bots responded to customers in real-time with rigidly spelled-out scripts. Enter Yellow.ai’s Dynamic Conversation Designer, a tool designed to make the process of designing conversational experiences significantly more manageable and less daunting. It’s not only user-friendly, but also allows for visualization of the user interface, enables interactive design experiences, and facilitates design sharing for swift feedback.

They think through the bot’s logic, list all possible interaction topics, design the bot’s navigation and consider potential difficulties. Also, a good conversation designer needs to think beyond a happy path and make sure the chatbot UI matches its personality. As opposed to chatbots, which can be considered text-based assistants, voice assistants are bots that allow communication without the necessity of any graphical interface solely relying on sound. VUIs (Voice User Interfaces) are powered by artificial intelligence, machine learning, and voice recognition technology. AI-driven bots use Natural Language Processing (NLP) and (sometimes) machine learning to analyze and understand the requests users type into the interface.