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Videobots – A definitive guide

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Videobots – A definitive guide

Arguably the next step in human-computer interaction, videobots are the evolutionary successor to chatbots. VideoBotsare in its early stages of development and implementation.

Slowly but surely, companies both big and small are exploring this new technology with their own approaches. This is resulting in unique applications ranging from VR entertainment to career guidance.

What are video bots, and how are they different from chatbots? What are their various applications? Who are some videobot players to look out for in the near future?

In this definitive guide, we discuss everything there is to know about videobots.

What is a videobot?

A videobot is a software program for simulating intelligent, intuitive, and interactive conversations with human users using artificial intelligence. Users interact with videobots via a conversational interface through written or spoken text.

While all this resembles chatbots that we already know, videobots take it to the next level. They provide an unprecedented level of personalization which makes it look like an actual person is speaking with you.

Virtually indistinguishable from a video call, videobots contain realistic audio of the person – real or virtual talking to the user.

First, a video recording is made of the person “starring” in the videobot. Here, an AI engine breaks it down into components. The videobot is made after assimilating these components.

It can then respond to users’ questions that can be voiced. Eventually providing answers specific to the question’s context.

Videobots can be placed on any webpage. It plays a wide range of roles like in sales, customer support, and service, product and service inquiries, demos, FAQ, etc. 

The need for contextual communication

The nature of communication is always decided by the technology itself. We work with it and help it realize our needs in a way that it can understand so that we get what we want.

For instance, when you want to Google some information you use the right set of keywords to get exactly the results you need – even though they may not make sense as a sentence.

In fact, there is a whole industry behind optimizing marketing content so that search engine algorithms display them over others (SEO). 

As an analogy, we can say that the difference between human-human and human-computer communication is like the difference between talking to an adult and an infant.

You don’t need to feed your words to an adult-like you would in the case of a 2-year-old when you wish to have a conversation.

You can just talk. Indeed, we do select the right words for the right circumstances even with adults, but there is no need to carefully present our communication so that the other party understands it. 

Videobots are the latest attempt to cross that hurdle in man’s interaction with technology. They can handle ‘Contextual Communication’ which enables users to “talk” freely.

Chatbots have been and are doing this well, but they lack the personalization that videobots offer. Imagine talking to a software robot and then a real person in a video chat. It’s easy to realize that the experiences differ like night and day.

Powered by artificial intelligence and machine learning, videobots can dynamically respond to human needs in human terms. Such a response system is fundamental to providing an easy interface for interaction – language.

With language (and voice) as the interface, the user experience is more convenient. An old person need not seek the help of someone else to press the right buttons on their apps; they can simply talk to it and feel like they just had a face-to-face conversation with someone. Exciting, right?

Want to see a videobot in action and use it?

You can also use the world’s largest library of videobots (for career guidance) here

How are chatbots built?

There are two ways to build Chatbots. First is a rule-based approach resulting in hard coding. The second is machine learning that necessitates streaming data for the system to learn on its own.

There are the basic chatbots and then there are chatbots with AI brains.

Customers want to converse with chatbots that understand natural language, enthusiasts are making every attempt to create a bot that is rich in AI – Enthusiasts can now take advantage of sources like to build chatbots with AI brains.

Services that can be leveraged to build a bot include:

  1. Microsoft bot frameworks
  4. IBM’s Watson

Bot-building enthusiasts shouldn’t be afraid of losing their jobs to digitization. They can use services that encourage them to build a chatbot. Some of the development platforms include:

  1. Chatfuel
  3. Octane AI

What are chatbots built for?

In essence, chatbots must understand the intent of the user. There is a need to infuse an intelligent quotient into the bot. Let us take the case of a user asking a bot to suggest the best place for eating.

The chatbot must understand what the user wants, provide a proper response – In this case, provide the name of the best hotel, though the user has mentioned it as ‘place’.

NLP makes this possible. NLP capabilities are infused into the chatbot without implementing NLP algorithms. Some of the sources that can be used to build NLP API include:

  1. Microsoft LUIS


Design elements of a chatbot depend on the messaging platform you choose to deploy the bot.  Use below mentioned top design elements to build a bot.

  1. Buttons – It is the bot that makes a user take decisions. Buttons prompt action when the user clicks them. Add Interactive buttons to help the user make decisions faster.
  2. Get Started Button – This is an intuitive feature prompting the user to set the bot into action. A chatbot built for Facebook Messenger cannot do without this feature.
  3. Cards – Yu can serve Information like links, text, images, and buttons using these.  Blocks fall in columns after the phone is turned on its side. A user can select the card that is relevant to him.
  4. Smart Reply – Smart Reply is a feature that helps a user respond fast to the chatbot’s query. The user does not need to type anything. This feature is useful when the chatbot is context-aware and also has useful information.
  5. Quick Reply – A user can make use of this feature as a response button. Tapping quick reply, a user can send his response message to the bot.
  6. Persistent Menu – A user can make use of this feature to steer his way to another portion of the bot that is not readily available.

These are some of the popular elements that can pave the way for an enriching bot experience. It is ideal to pick the best feature to suit the purpose, moment and above all user needs.

Using videobots for a business

Videobots are on the rise, but technology is still young. Getting used to normal chatbots is still in process.

Technology may rarely wait for the masses, but it is important to consider factors like volume (of users) and usability while building and implementing videobots. After all, a technology’s success lies in its widespread use.

Two factors come into play while developing videobots. One, to make the videobot a well-developed tool so that it is successful and useful, and two, to find a place for it to ensure that is actually used in user conversations.

While the former depends on investment in a talented IT team, the latter depends on identifying use case scenarios. 

Some key factors to consider while developing videobots include:

Identifying use, and thus the potential users:

Determine all the contexts for videobot usage before you build your versatile tool. a tool that can be used in any context and is profitable to the business as well as the end-user.

Whether it is entertainment, sales, news or customer service, understanding the business and the customers can help in making the videobot effective and user-friendly.

Personalize and make it emotionally rich:

Remember, the idea is not just to make an information kiosk. By providing a face to a bot, you are creating a personalized experience that seems like a video chat for the user.

For instance, when the user switches on their mic and asks a question, the person in your videobot can empathize by “listening” – nodding their head to show the user that they are actually taking in the question.

The key is to read the emotions and user sentiments. Using warm, friendly and fun language can also greatly enrich the conversational experience.

Use the face to engage user action

As it is, it is a new experience for a user to “talk” to a screen and engage in a conversation. The natural tendency to patronize the activity is still highly prevalent.

This is where videobots can have an edge over chatbots or other tools. When a face pops up on a webpage inviting them for a conversation, it can excite the user into engagement.

Guide the user

Once the user is in the videobot interaction, they may not have all the right questions they need to ask to obtain the information they need.

Having a comprehensive list of questions listed as text on the videobot platform that users can press instead of voice questions can provide a more thorough and wholesome experience.

Take the help of a videobot

Taking the help of an established video

bot service provider, who can build the videobot for your business exactly based on your needs and specifications can lead to solid results.

Expertrons offers videobots for a variety of functions, be it a company, college, or a nonprofit, that can help in eliminating fixed and moving costs as well as increased ROI. 

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