5 min read

The importance of Context Gathering for great IVR and conversational AI design

The importance of Context Gathering for great IVR and conversational AI design

When it comes to designing great IVR and conversational AI user experiences, understanding and designing for context of use is critical. Context Gathering is core to the VoxGen user-centred design process, and for very good reason.

4 min read

Conversational AI and the Future of Customer Service?

Conversational AI and the Future of Customer Service?

Are intelligent conversational AI assistants like Siri and Alexa the next big thing in customer service? It’s starting to look that way – but the customer experience has to be right.

4 min read

Designing conversational AI – The 5 decisions you need to make

Designing conversational AI – The 5 decisions you need to make

With the surge in voice-controlled devices, conversational interfaces for virtual assistants are already going mainstream.

But ask these 5 questions before you start.

4 min read

Why voice and conversational AI is on the rise

Why voice and conversational AI is on the rise

UX is changing fast, and businesses will have to learn new types of interaction design. Voice promises to be huge, but designing voice-based interactions requires very different skills.

3 min read

Conversational AI and personal assistants – is this the future?

Conversational AI and personal assistants – is this the future?

If you’re interested in where human computer interfaces are going and you haven’t seen the Spike Jonze’s film, ‘HER’, then stop reading this and download it, today!

It’s a fascinating, cautionary tale of a man who falls in love with his automated personal assistant named Samantha (the voice of Scarlett Johansson).

This is categorically not Siri or Alexa (arguably the two most popular conversational AI assistants around today). Where these conversational AI tools are basically a rules-based natural language search engine, Samantha is a fully AI AI-driven learning entity constantly expanding her knowledge base and creating connections between phrases, ideas, preferences etc. Here’s a quote from the film where Theodore (Joachin Phoenix) has just started using the new software:

Samantha: Well, I take it from your tone that you’re challenging me. Maybe because you’re curious how I work? Do you wanna know how I work?

Theodore: Yeah, actually, how do you work?

Samantha: Well, basically I have intuition. I mean, the DNA of who I am is based on the millions of personalities of all the programmers who wrote me. But what makes me, me is my ability to grow through my experiences. So basically, in every moment I’m evolving, just like you.

Theodore: Wow. That’s really weird.

Samantha: Is that weird? Do you think I’m weird?

[Theodore laughs]
Theodore: Kind of.

Samantha: Why?

Theodore: Well you seem like a person, but you’re just a voice in a computer.

Samantha: I can understand how the limited perspective of an un-artificial mind would perceive it that way. You’ll get used to it.

[Theodore laughs again]
Samantha: Was that funny?

Theodore: Yeah.

Samantha: Oh, good, I’m funny.

While it may be an extreme example, this is not just science fiction. For a while now researchers have been concerned that a rules based approach to natural language processing would eventually reach a dead end. That’s why the likes of conversational AI assistants like Siri and Alexa make coy jokes when she/it/they don’t understand something.

In order to move beyond this dead end response, future conversational AI systems have to be able to learn ‘on the fly’ in order to improve both recognition and the results it brings back from any query. They needs to understand context and the only way to do that is to sift through tremendous amounts of data and make connections that are meaningful.

When someone in London tells you, ”I want to go to LA tomorrow”, you instantly know that they mean they want to go to the United States by plane within 24 hours. Furthermore, you may know them well enough to understand that they fly on United regularly and what their travel preferences are: including aisle seat, business class, meal preferences, hotels etc.

Who’s Assistant Are You?

So this brings me to my dream world. I want to stop having to conduct business with individual enterprises. I don’t want to contact my bank’s IVR, conversational AI chatbot or smartphone interface to get my balance.

If I want to go to LA, I don’t want to contact the airline or the hotel. I want Samantha to do it! She has all my preferences, all my identification and verification details and my history. If I say to her (it) “I want to go to LA tomorrow” She should simply go out to the relevant companies and pull back the information and ask me to confirm the purchases.

Wally: “Samantha, I want to go to LA tomorrow”

Samantha: “Sure, Wally. I can get you on United at 2:30 in seat 12C just like last time. Do you want me to book it?”

Wally: “Yes please”

Samantha: “Should I use the AMEX?”

Wally: “Yup”

Samantha: “Okay and do you want a cab to take you to the airport?”

Wally: “Sure.”

Samantha: “From home?”

Wally: “Great.”

Samantha: “Okay it’ll be downstairs at 12 noon. I’ve put the details and your boarding pass on the phone.”

Wally: “Thanks.”

Samantha: “And don’t forget to pack your umbrella, it’s going to rain in LA all week.”

No more, “Please enter your frequent flyer number.” No more “What’s the expiry date on the card?” Just direct interaction between my conversational AI system and anything I want to book, buy, query etc. Furthermore the interface travels with me on my phone and all my connected devices. It becomes, quite literally, the persona of my digital world. It can shop, start my car, control my smart home, screen my calls, maybe even do my taxes.

If the airlines and banks and hotels have the APIs available, this shouldn’t be too hard. In fact it’s all the more reason for them to make the data available in the interest of being easy to do business with. This eliminates me having to learn how to use one or another website or IVR ever again. I’ll just leave it to HER.

3 min read

Multichannel Considerations in IVR & Conversational AI Design

Multichannel Considerations in IVR & Conversational AI Design

At a time when new channels are emerging, the differentiators for retailers are going to have an awful lot to do with how we segment, personalise, and serve through the IVR, conversational AI, web, smartphone and social media.