Interpreting human language correctly is crucial if you want your chatbot or voice assistant to provide the best experience your users can have. That’s why natural language processing or NLP is an important part of designing for chatbots and voice assistants. It’s a part of artificial intelligence (AI) that helps your bots interpret and understand the language of humans. Okay then, what is NLP training?
NLP training is a type of training that you can use to help your chatbots and voice assistants enhance NLP. But it’s important to know why it’s critical and how to use it. Consider these key concepts and best practices of NLP training:
Why NLP Training is Important
NLP training is vital to enhance the user experience. With proper NLP training, your chatbot or voice assistant can properly identify relevant information your target audience and existing users need. Botsociety provides many tools that may be able to assist you with this process and ensuring a meaningful design.
Apps that use Alexa skills and Facebook Messenger bots are just some of the many use cases that leverage NLP to enhance the user experience. Without proper NLP training, your chatbots or voice assistants can not only deliver incorrect information to users of your product, but they can also interpret the information that users give incorrectly. Think of the many instances when you have tried to get directions or even information about the weather from Siri, Alexa or another voice assistant only to get information about the closet restaurant near you. This can create a frustrating experience for customers and users of your chatbots or voice assistants. So, it’s critical to include NLP training even after creating your bot.
Designing Voice UX for Your Bot
When you implement voice UX practices, you can enhance the user experience and keep your audience coming back. Here are some best practices to put into action for voice UX design success:
- Practice, practice, practice. Set your chatbot up for success by helping it practice conversations before it converses with real customers. For instance, you can expose the bot to a large set of example sentences that it may use when answering questions about different places to go for a vacation that a customer of your travel agency may have. By exposing the bot to this set of examples, you can help it discover what keywords are important for providing the correct results.
- Use prototyping. Prototyping tools help you to easily design conversation flows and see how your chatbot may interact with potential users before you finalize the end product. For example, you can use Botsociety’s prototyping tool to design chatbots and voice assistants and create a high-fidelity voice assistant or chatbot mockup that help you see how the product responds to questions you may ask it aloud.
- Fix Errors. Any errors that you capture during the NLP training should be fixed and retested. For instance, if you notice the chatbot is providing results that are irrelevant to your question about different shirt styles your fashion retail company offers, then it’s critical to correct the error and test the chatbot again to ensure it understands the correct types of responses.
NLP continues to help chatbots improve the results they provide users through proper interpretation. But without the proper training, your chatbots and voice assistants can be limited in how well and fast they improve. By leveraging NLP training, you can enhance your chatbot so that it improves the user experience.