Rajendra

I write columns on news related to bots, specially in the categories of Artificial Intelligence, bot startup, bot funding.I am also interested in recent developments in the fields of data science, machine learning and natural language processing ...

Full Bio 
Follow on

I write columns on news related to bots, specially in the categories of Artificial Intelligence, bot startup, bot funding.I am also interested in recent developments in the fields of data science, machine learning and natural language processing

This asset class turned Rs 1 lakh into Rs 625 crore in 7 years; make a wild guess!
723 days ago

Artificial intelligence is not our friend: Hillary Clinton is worried about the future of technology
727 days ago

More than 1 lakh scholarship on offer by Google, Know how to apply
728 days ago

Humans have some learning to do in an A.I. led world
728 days ago

Human Pilot Beats Artificial Intelligence In NASA's Drone Race
729 days ago

Google AI can create better machine-learning code than the researchers who made it
73284 views

More than 1 lakh scholarship on offer by Google, Know how to apply
60000 views

13-year-old Indian AI developer vows to train 100,000 coders
41433 views

Pornhub is using machine learning to automatically tag its 5 million videos
37641 views

Rise of the sex robots: Life-like doll goes on sale for 15,000 pound
33765 views

How to make your chatbot a huge success Two dimensions and a tip

By Rajendra |Email | Aug 11, 2017 | 6627 Views

Every researcher knows that the hardest part of writing a paper is making a killer introduction. Chatbots are no exception to this rule: everything is in the first sentence they say. In around 150 characters, their destiny is determined. A good opening will create a beautiful bond between the user and the chatbot, whereas a bad opening will leave the chatbot in a dark lonely place after only 5 seconds of conversation
So what is it about the opening sentence? Why is it so crucial for the success of a chatbot? Well, just as it is with humans, first impressions are critical. To put it more scientifically, the opening defines the two dimensions of the conversation: width and depth. So lets discuss these two concepts and learn how to design great conversations!

Width: keep it narrow
The first dimension of the conversation is its width, or what the chatbot knows, can discuss and handle. Developers usually refer to it as the functional coverage of the chatbot. In this era of Artificial Narrow Intelligence, where machines know how to handle specific tasks and solve specific problems, keeping the width of the conversation narrow helps avoiding user frustration. From the very first sentence, as the chatbot engages the user, it should clearly state what it can to do, and more importantly, what it cant.

A chatbot saying I am here to help you understand your last cell phone invoice is aiming too high, or rather too wide. It invites a very large spectrum of questions from the user. The probability of getting a query the bot cant handle early on in the conversation is rather high. This is likely to frustrate users and prompt them to abandon the conversation quickly.
A chatbot saying I can help you pay your last cell phone bill is closing down the conversation width quite drastically. Nevertheless, it is stating the rules of the game very clearly and reduces the probability for a question it may not be able to handle.
Imagine, however, that at a later stage of the conversation, the user asks the chatbot something that goes beyond the declared scope, such as could you remind me how much the last invoice was. If the chatbot knows how to handle such a demand, the user will have a pleasant surprise. Everyone is happy.
If, however, the chatbot does not understand such a request, the user wont be overly frustrated. After all, the bot is primarily here to pay invoices, not to display past ones.

Length: respect the Reward Principle
The second dimension of the conversation is its length. Once again, the idea is to keep things short. Users are impatient, therefore your bot should help them quickly get to their goal. Additionally, in long conversations, the probability of diverging and expressing an idea the chatbot doesnt understand increases.
Easy to say, but long conversations are sometimes necessary! What if a lot of information is to be collected to deliver what the user wants? This is where the Reward Principle saves the day!
Consider the following example, a chatbot that helps you calculate your mortgage entitlement. Quite useful! To provide a good service, the bot needs to gather around six different facts about the users real-estate project to do the math. This takes time. The Reward Principle states that the chatbot should give the user a reward, an added-value, after every 2 to 3 questions asked to keep the users interest. A reward is a piece of information that has value to the user at this point in the conversation. So even if he cuts the conversation short, the user leaves with something useful.
In our example, a good implementation of the Reward Principle will cut the conversation into two parts.
After three questions, the chatbot would give the user a range of sums of money, but not the exact amount he could get from the bank. The chatbot will then ask to go through another three questions to calculate the exact sum the user could borrow.
Even if the user doesnt play along and quits, he leaves with an idea of how much his mortgage could be. Not that bad! ;)

Tip: doing something for the user is better than simply informing them
We are in a fast-paced world. People try to be as a efficient as possible. Chatbots should help!
Making a chatbot that helps you buy your train ticket is better than one that simply shows you the train timetable.
A chatbot that helps you return a product is better than one that simply goes through a goalless conversation about the stores returns policy.
A chatbot that goes all the way to ordering takeaway food is better than one that simply displays the menu and todays specials.
Building chatbots that deliver is better, so no more FAQ chatbots! ;)

Source: chatbotslife