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Design for AI - 6-AI Personality

6-AI Personality

10/09/19 • 21 min

Design for AI

Episode 6

Why creating a personality for your AI is important, be it recommendation system or AGI. We cover the steps needed to evaluate your system and come up with the best personality for your users..

Music: The Pirate And The Dancer by Rolemusic

Background research links

https://blog.prototypr.io/a-guide-to-developing-bot-personalities-c6eba213d77b?gi=88dd055fd56b https://chatbotsmagazine.com/designing-a-chatbots-personality-52dcf1f4df7d https://medium.com/the-charming-device/how-to-design-intelligence-3-ways-to-make-human-centered-bots-76c5ff7524df

Transcripts

Today’s episode is about personality, So I thought it best to start with a scenario: For example, you are in the market for finding a lawyer, and like most people looking for a lawyer you need to watch your money. you’ve heard good things about some companies providing virtual lawyer services. You download one since it was the top rated since it was so friendly. You get started telling it about the background and back and forth is full of jokes from the lawyer. But the jokes just seem off. Then you need to find some more info and take the device down into the basement the virtual lawyer says it lost its network connection and just starts laughing maniacally. Maybe somebody finds this funny, but if they messed up this bad on the humor, you have no confidence that they got the legal part right. Delete that one, obviously friendly was not the way to go. You download the next one rated totally professional. You start the process but it is taking forever. You have to go through one question at a time. This thing feels like it is reading war and peace off of a DMV form. You find yourself getting lost in the monotony and realize you skipped over the most important nuance. This isn’t professional, this is fingernails slowly scraping a blackboard. Ugh, there is no way you’ll make it through the process and remember everything. Another failure, money wasted, and you still need to talk to a lawyer. Lets make sure this doesn’t happen. Today we are covering personalities for AI This is design for AI a podcast to help define the space where Machine learning intersects with UX. Where we talk to experts and discuss topics around designing a better AI. music is The Pirate And The Dancer by Rolemusic Im your host Mark Bailey Lets get started Today we are discussing how to design your AI personality. We will cover the process step by step for what is important and what to avoid. Some people associate finding the right personality with something hippy or new age. This is not that. If you want the book answer, the personality is the distinctive tone, manner and style in which your app will communicate. It is defined by a set of attributes that shape how it will look, sound and feel. The right language, and tone that embodies your app and differentiates it from the competitors. Look, there is a good chance your app and company already have a personality. Your current web or app design already defines the personality of the company. Color choice, type choices, UI layout, documentation, errors all make up the brand. Basically, it’s the company personality that dictates the brand. So the next step is to use that personality, that up to now has been used for the brand, and to translate that over to training the AI. There are some companies that don’t have a personality right now. The reason being is a lot of companies might not have defined a personality up to this point is because of they’ve used a template for their site or app. There are a lot of templates for websites or using default frameworks for building the widgets for apps. There just isn’t a template for this yet in AI. So going to the trouble of creating a personality has to be done on a case by case basis still. Because the world does not need another Clippy. It was an avatar that tried to keep it light by telling jokes along with the help it gave. The problem was the brand for Microsoft Word is much more corporate which created anger at the unexpected behavior. Jokes or wacky interface quirks can only increase user’s interest or desire to explore in the application if it what they are expecting. Personality sells though, so it will pay for itself if you get it right. People can tell when a company has enthusiasm and passion for what they’re doing. The tide will turn soon enough where t...
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Episode 6

Why creating a personality for your AI is important, be it recommendation system or AGI. We cover the steps needed to evaluate your system and come up with the best personality for your users..

Music: The Pirate And The Dancer by Rolemusic

Background research links

https://blog.prototypr.io/a-guide-to-developing-bot-personalities-c6eba213d77b?gi=88dd055fd56b https://chatbotsmagazine.com/designing-a-chatbots-personality-52dcf1f4df7d https://medium.com/the-charming-device/how-to-design-intelligence-3-ways-to-make-human-centered-bots-76c5ff7524df

Transcripts

Today’s episode is about personality, So I thought it best to start with a scenario: For example, you are in the market for finding a lawyer, and like most people looking for a lawyer you need to watch your money. you’ve heard good things about some companies providing virtual lawyer services. You download one since it was the top rated since it was so friendly. You get started telling it about the background and back and forth is full of jokes from the lawyer. But the jokes just seem off. Then you need to find some more info and take the device down into the basement the virtual lawyer says it lost its network connection and just starts laughing maniacally. Maybe somebody finds this funny, but if they messed up this bad on the humor, you have no confidence that they got the legal part right. Delete that one, obviously friendly was not the way to go. You download the next one rated totally professional. You start the process but it is taking forever. You have to go through one question at a time. This thing feels like it is reading war and peace off of a DMV form. You find yourself getting lost in the monotony and realize you skipped over the most important nuance. This isn’t professional, this is fingernails slowly scraping a blackboard. Ugh, there is no way you’ll make it through the process and remember everything. Another failure, money wasted, and you still need to talk to a lawyer. Lets make sure this doesn’t happen. Today we are covering personalities for AI This is design for AI a podcast to help define the space where Machine learning intersects with UX. Where we talk to experts and discuss topics around designing a better AI. music is The Pirate And The Dancer by Rolemusic Im your host Mark Bailey Lets get started Today we are discussing how to design your AI personality. We will cover the process step by step for what is important and what to avoid. Some people associate finding the right personality with something hippy or new age. This is not that. If you want the book answer, the personality is the distinctive tone, manner and style in which your app will communicate. It is defined by a set of attributes that shape how it will look, sound and feel. The right language, and tone that embodies your app and differentiates it from the competitors. Look, there is a good chance your app and company already have a personality. Your current web or app design already defines the personality of the company. Color choice, type choices, UI layout, documentation, errors all make up the brand. Basically, it’s the company personality that dictates the brand. So the next step is to use that personality, that up to now has been used for the brand, and to translate that over to training the AI. There are some companies that don’t have a personality right now. The reason being is a lot of companies might not have defined a personality up to this point is because of they’ve used a template for their site or app. There are a lot of templates for websites or using default frameworks for building the widgets for apps. There just isn’t a template for this yet in AI. So going to the trouble of creating a personality has to be done on a case by case basis still. Because the world does not need another Clippy. It was an avatar that tried to keep it light by telling jokes along with the help it gave. The problem was the brand for Microsoft Word is much more corporate which created anger at the unexpected behavior. Jokes or wacky interface quirks can only increase user’s interest or desire to explore in the application if it what they are expecting. Personality sells though, so it will pay for itself if you get it right. People can tell when a company has enthusiasm and passion for what they’re doing. The tide will turn soon enough where t...

Previous Episode

undefined - 5-Michelle Carney, founder of MLUX

5-Michelle Carney, founder of MLUX

Episode 5

I talk with Michelle Carney, founder of MLUX. Lecturer for AI design at d.School at Stanford, and Sr UXR at Google AIUX group. We discuss resources available and needs that have not been filled yet

Upcoming Events:

Machine Learning and UX (MLUX) Meetup Resources:

Music: The Pirate And The Dancer by Rolemusic

Transcripts

Coming soon

Next Episode

undefined - 7-How AI changes UX interaction at every stage of software development

7-How AI changes UX interaction at every stage of software development

Episode 7

We show how the normal software development cycle does not work with AI and how the modified dev model needs attention from UX at every step

Music: The Pirate And The Dancer by Rolemusic

Transcripts

Here is the scenario for this episode: The boss gives you access to the companies data and asks you to come up with a model that uses it. With all this data it’s got to be good for making something the users will use right? You buckle down, work with data scientists and make a lot of tweaks to the data come up with something, but no matter how much you advertise it no one wants to use it. Back to the drawing board. This time you find out what the users do want, more tweaks to the data and get a model that is accurate. People love it, tons of users flood in and flood the server. The servers crash from too large of a model. The IT guys say they can fix it and bring in a bunch of new hardware. It all seems to be going fine until you notice every review of your app laughs at how inaccurate it is. This can’t be, it’s the same model, just running on different hardware, right? Lets make sure this doesn’t ever happen. Today we are covering the development cycle for AI This podcast is called design for AI It is here to help define the space where Machine learning intersects with UX. Where we talk to experts and discuss topics around designing a better AI. music is by Rolemusic Im your host Mark Bailey Lets get started music Machine learning up to this point has been more on the research side. So much so that it really doesn’t fit in to the normal software development cycle. There are all these gotchas that won’t let you fit into the normal cyclic agile sprints that most people are used to. This affects getting in good design. A big part of UX design not slowing down the software development cycle is to have a regular process so UX can run in parallel to development. It is possible with machine learning development, the cycle just looks a little different. The normal software development process is building a machine. It’s a really complicated machine, but in development terms it is still stateful, so development is done to by writing to the test case. For the updated process, instead of a machine, think of it like you are hiring an employee. There are 5 stages to hiring an employee.
  • Plan
    • This is laying the groundwork
    • lay out the job listing – what are the requirements?
    • Find Objectives, why are you hiring them?
  • Job posting
    • What is the purpose & design
    • Set your goals
    • Define benchmarks
  • hire
    • Build On Expertise
    • Collect representative data
    • Build the model
    • Data scientists train the model
  • Train – The model is watching how you do things
    • Reinforce Education
    • Subject matter experts train the model
  • Shadow – You are standing over their shoulder.
    • Build Trust
  • Lead
    • Mentorship
    • AI leads task
    • Subject matter expert manages AI
Step 1: “Plan” Let’s start with the plan. Before even thinking of Machine learning – collect data. Not just analytic data, user data. This is normal UX research. Is machine learning necessary? Remember AI is not a fortune teller. Aim for problems that are possible now but would take many hours for many people to solve. If a person can’t perform the task, then neither can an AI. For the people side of UX research, visit in location, in car or lunch to watch real tasks. Bring artifacts if they can’t be visited. Do not talk down to user, ask them to explain things. Write quotes instead of opinion, Take pictures, Ask open ended questions. Do not ask them to design. Do not ask for them to predict the future. People are bad at that. Do not write solutions or bug fixes and do not teach no matter how much you think you can help. Instead, Can you tell be more? Can you explain x to me? Do they have questions for you? All of these are important to learn the user journeys and to find the user’s true goal. You’ll use these as part of the data design. As part of the UX, this is also the data to use to build the personas, and map out the user journeys Step 2: “Job Posting” Purpose & Design of the model
  • Set your goal
  • Define benchmarks
Take your user’s user journeys and goals and work with the data scientist to line them up to the data points you have available. What data do you have available? Don’t look at the data you have; then design a product around it. this leads to a product that management wants instead of what the users want. Design for what is needed; then f...

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