Content Weapons Primer: Contextually Aware Chat

In today’s world, where people need to communicate more efficiently and faster than ever, there is a new kind of app that is revolutionizing the market — the context aware chat applications.

What Is Context Awareness?

Simply put, context awareness is the ability that a system has to gather more information about a specific environment at a given time and then adapt behaviors.

Context awareness has been mainly used in both software and hardware, For example, when you need to collect and analyze data, you can use context awareness to collect it automatically and then simply analyze it to guide responses.

The context may include a wide range of aspects that are relevant to an app, a device or to a person. So, we can say that contextual information will include the date, location, time, user, identity, privilege level, role, process, task, among others. You can, in fact, see microphones, cameras, and even web browsers as potential sources of data that can be then used by context awareness. In terms of user applications, it has been seen as a way to enable contextual marketing messages, context-relevant information delivery, and augmented reality.

Context Aware Chat Applications

When you are talking face to face with someone, you are totally aware of the context. You know where she is, what she is doing, what surrounds her, if there is someone near to her, the room temperature, lighting, sound, among so many others. It’s this combination of cues that make a facial conversation so much richer.

However, as you know, and especially at work, it’s becoming more difficult to have all the conversations face to face. So, you need to rely on electronic chat applications. So, you are missing a lot of the cues. In most occasions, your communication will almost be simply by text. So, you won’t be able to see the person you are talking to, what is surrounding her, nothing at all.

Content Weapons like this are further explained in the book #contentweapons by Michael Stattelman

Learn how to lead “Next Practices” initiatives like this in Meta Leadership also by Michael Stattelman

Here is where things get really nice. You have a chat application that is designed for specific responses based on selections by letters (A, B, C) or numbers (1,2,3) we have all seen and encountered them. What about a chat that users could actually guide for the specifics they wanted? Similar to a google search but all while still remaining in the chat application be it a one on one or even a chat room. This would be a form of low level or directed contextual awareness. The chat application is aware of context when it is directed or told by the user to retrieve specified content.

The next level is a chat that can pick up on keywords or phrases and then deliver content or recommendations based on the conversation the users are having. This is known as guided contextual awareness. There are some preprogrammed words or phrases that the application has available as well as certain responses to such. An example would be that of a serverless chat application that I developed for my book “Meta Leadership”. Operates similar to all other chats but with 2 twists. Not only can users specifically ask for research on topics, but any time the term “leadership” is entered into the conversation a recommendation of the book is provided complete with a link directly to the order page. I can already see some of you marketers drooling.

The final level is true contextually aware chat application. This is done by allowing a running natural language process to analyze the conversation and based on the engagement domain of the application do any number of things. The initial example that comes to mind is for local ISP’s (internet service providers). Customer joins a chat to ask about a billing question. The chat responds as programmed but then through the use of sentiment analysis, the application becomes aware that the customers tone is getting angry and brings up that a competitor has a cheaper rate for the same level of service. The chat can then pull from a dataset of customer complaints against that competitor as a counter, then initiate a reduced rate or discount if the customer agrees to stay on with that current provider. This now becomes truly contextual and so much more engaging. Not to mention the various content that could be generated in real time through the leveraging of the customers own data stored on the systems of that ISP anyway. Boom there you have it, chat weaponized with contextual awareness!

For a working example See : https://www.youtube.com/watch?v=JMrf4txzSQg I created a quick video going through a proof of concept/ I also went into a little deeper explanation on the Content Weapons Podcast here: https://www.podbean.com/eu/pb-yfxzu-b9f27b

I hope you all enjoy.

#contentweapons

#metaleadership