Chatbots are not new. They’ve been around since the 1960s when an artificial intelligence program called ELIZA was created to replicate the behavior of a therapist. These days, chatbots serve many purposes: they can help you book flights or a hotel room, answer questions about your 401k plans, and even provide customer service in industries like healthcare and retail. And advances in artificial intelligence technology mean that chatbots can now be incredibly sophisticated—they can understand natural human language and respond accordingly. But like any new technology or tool, chatbots have their own unique set of challenges. In this post, we’ll cover some common mistakes in AI chatbot development—and how you can avoid them!
AI not understanding the user’s intention in a specific context
As we discussed earlier, understanding the user’s intentions is critical to building an effective chatbot. Users who don’t get what they want will become frustrated and probably stop using your chatbot.
You can help avoid this by making sure that your chatbot understands the context of each conversation and responds accordingly. Imagine you are creating a banking chatbot that helps users make payments to their friends. If someone says, “Send $20 to John Doe,” it’s pretty obvious what they want to do—but if they say, “Send money,” you’ll need more context to respond properly: Is this person asking where their bank account balance is? Are they trying to make a payment? Do they even have any money in their account yet? Without understanding these things, it would be impossible for us as developers and designers working on this project to build an effective solution for our users with just one sentence from them!
Not being able to understand the user’s language and context
One of the biggest reasons chatbots fail is that they don’t comprehend the user’s language and context. For a chatbot to perform some task, it needs to understand what you mean. In other words, if your goal is for the bot to book an appointment at a hair salon near where you live, and it does not know which location you want or even what “near” means in this context, then there won’t be any appointments booked that day!
That’s why comprehending language and context are so important for AI chatbots, especially when trying to understand human requests and needs through text alone (which can often be tricky).
AI not being able to understand user emotions
If a chatbot cannot detect emotions and respond appropriately, it can have disastrous consequences. For example, we often try to convey emotions when we speak to each other. An emotion-detecting chatbot should be able to recognize when you’re angry or sad and respond accordingly. The best way for a chatbot to do this is by using facial recognition technology; however, there are other ways of detecting emotions, such as voice recognition and text analysis methods that analyze the context of the conversation between two people.
We’ve seen some companies use artificial intelligence (AI) or machine learning techniques to detect user emotions at scale—for instance, Facebook uses AI algorithms in Messenger that scan users’ faces for facial expressions like smiley faces or frowns (granted these aren’t actual human expressions but somewhat digital representations).
The lack of a proper personality or brand voice
Personality and brand voice are important for customers because they help build trust and loyalty. The personality of a chatbot should be consistent with your brand’s values and goals. If you want to attract more customers, have a friendly and helpful chatbot. If you’re looking to sell something, ensure that the tone remains professional rather than casual or informal.
To develop a personality for your chatbot, ask yourself what kind of information or service would be most useful for the user. What kind of language do you use when talking about it? Does it have any unique features? How could these be incorporated into its personality?
Once you’ve developed an initial idea for how your bot should sound, test it out with some friends or colleagues who might not know about AI technology—they will provide valuable feedback on whether your bot sounds natural enough compared to other bots available online today (and if not, why not?). Also, consider using automation tools like BotWizard, which can automatically generate text based on predefined parameters such as keywords in conversation logs (or non-verbal cues like facial expressions).
The AI bot doesn’t answer simple questions
If you’re building a chatbot for your company, the bot must be able to answer questions about the product, company, and user. The bot should be able to answer simple questions like “What color is this shirt?” or “Where do you ship to?” If someone needs help choosing an item from your store, they don’t want to type out a long description of their problem; they want an easy solution.
The same goes for other types of bots as well. Suppose you have a business-focused chatbot that helps users find resources and information within your system (for example: improving sales efficiency by delegating tasks or managing employee schedules). In that case, it should also be able to answer basic questions such as “How many employees do we have?”
Avoid these common mistakes in AI chatbot development
To create successful chatbots, you need to understand the user’s intention in a specific context and have a proper personality or brand voice. You also have to be able to understand user language and context, as well as their emotions.
AI chatbot development is about building an intelligent dialogue that answers simple questions. This means having your bot understand what people want when they ask for it to provide the right answer every time. The key here is understanding the user’s intention in a specific context: What do they want? What do they need? How can we serve them better?
The bottom line is that chatbots will continue to become increasingly important in the digital world. We need to use them because they can help us with everyday tasks, such as booking flights or ordering food. We hope this list of common mistakes in AI chatbot development will help you avoid them in future projects.