Introduction

3 minute read

Updated: October 12, 2020

Augmenting human intelligence

Intelligent system to make smarter decisions, preserve knowledge, learn from experience and change behaviour
This model is understanding the users and how we gonna adapt to those users
Also understanding the connectivity, taking into account the world and users
Ideas of nudging – can nudge the ppl to do better things – amazon nudging us to buy stuff

## The personalisation buzz

Having a computer system to adapt to users
- Tailored to what we need, want and best fits current state
Human to human interaction and personalisation is natural
- Speaking very slow
- Recommending what to buy
BUT can we adapt the human AND the computer and can this be personalised?
How to make systems that are not personalised to personalised.
- Minerva – not tailored - how do we tailor the website to suit each student?

Past: Need for personalisation

Whenever something is modified in its configuration or behaviour by information about the user, this is personalisation
Industries should not think if to personalise or not, instead u gotta think HOW you are gonna personalise !!
If we are delivering info, we need: right info to the right person, at right time in right way
- right !!! is the smartness

Why do we need personalisation?

Key factors – right right right
Available info
- Heterogeneity – is overwhelming so gotta help them find the right info
- Noise
- Constraints – bandwidth and time – how much you can absorb all these information
- To narrow down the information
People
- In the past, we had program used by typical users used uniformly. However, the systems we use, we have massive users with different capabilities and background, So you need to adapt
- different task, goal, intentions
- different context – in different settings and what info
- Affective states – emotional. Not exactly clear what effect it has

Adaptable systems (customisable)
- User is able to modify aspects of the system to suit their preferences
  - I wanna get these types of news and you set up a filter
- Limitation – they don’t know what and how to customize
- Plus – interface wise, to get the user to pick and mix
Adaptive systems
- Automatically changes their behaviour due to smart engine independent of user specifications
  - YouTube recommendation
- !! Core part of this module
Intermediate cases
- System proposes possible adaptations and user decides to accept

User adaptive system & AI

No human
- Ai could be just one – simple automated intelligence
- Capable of taking decisions itself – autonomous intelligence

Example: user-ADAPTABLE interface

!! Example; user ADAPTIVE interface

Start menu in windows. It narrow downs the program of what programs user consume and it picks that as the users preferred option
Limitations – too many and not adaptive, hence not regular
- Narrowing down the users, and it takes long to find it
- Then go back to customisation and ask them
- We use spatial memory to know whereabouts stuff are – causes confusion. For e.g in different languages and you uses spatial memory

More recent examples

MoCoMapps
- Massive amt of information of cities and how to encourage ppl to contribute to it. How social technologies can help cities be smarter – civic engagement, tourism,
- Customizable interface
- Specifies the types of data –> customization
- It takes what’s important for the person and recommends it – adaptive
Ecoach
- Mid agent of Minerva – you register and fill in personal info
- Asks to do a psychometric test to identify learners’ motivational factors
- Links to uni’s student information page
- And it gives simple adaptations such as reminders and feedbacks
- Recommendations of adaptive content in a motivational way
Google map – if you rate then it gives you recommendations of new places you might like

80% of consumers stick to a business if the system is personalised
Personalisation improves the customer experience
What do they see as personalisation?
- Customisation - something suited to me so I’m more interested
- Service – companies will know what I want and help w the experience
- Discount and offers – personalised offers
- Specific products that are tailored to them
- Convenience with user
What do we notice here?
- This is looking at the positives – and that the data collected is used for their convenience
Top personalisation experiences
- Coupon, discounts - 31% that provides discounts due to personalisation
Top company - Amazon
What do you want to see in personalised message?
- Recognition of who they are
- Help them buy stuff

50% of companies are providing personalisation
What could be the possibility of personalisation?
- Recommender, personal shopper, diagnostic, filter, teacher user adaptive intelligent system