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Behavioral Science

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Tips of how to use user’s biases and behaviors  to create better UX

Article by Sreya Majumdar
UX and the Hook
  • The author is thinking if designers’ being aware of the user’s biases and behaviours can help design technology to persuade people to behave in a certain way.
  • The articles covers the following ideas:
    • Tapping into the user’s mental model
    • Changing digital habits
    • Creating the hook (hook model: trigger, action, reward, investment)
    • Designing for irrationalities
    • A positive reinforcement/sustainable behaviour change
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6 min read
UX and the Hook

One author’s thoughts on progress of behavioral sciences over the last 50 years and ways conversational AI and experience design revolutionize them.

Article by Daniel Lametti
Will Conversational AI and Experience Design Revolutionize the Behavioral Sciences?
  • The article covers:
    • Studies and surveys on behavioral sciences conducted over the last 50 years
    • The role of conversational AI in the modern world and its perks
    • Ways conversational AI and experience design might revolutionize behavioral sciences
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5 min read
Will Conversational AI and Experience Design Revolutionize the Behavioral Sciences?

A Q&A with celebrated tech leader and design pioneer, Robb Wilson


Article by Josh Tyson
Conversational AI Experiences Don’t Have to Suck
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11 min read
Conversational AI Experiences Don’t Have to Suck

Understanding why the best designers throw away most of their work.

Article by Nate Schloesser
Your Design is Trash — Throw It Away
  • User Experience work is set apart from other professions by its ability to understand and solve problems for users but sometimes the job of a designer is marked by doing a bunch of work that never sees the light of day.
  • The author gives the following reasons why designers need to start tossing things out:
    • Creativity and Rationale Grows
    • Old Ideas Age Well
    • Design Artifacts Have Multiple Purposes
    • Amateur Designers Get Attached
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7 min read
Your Design is Trash - Throw It Away

With ML facing so many users, there is a case to approach the conception and design of ML-powered applications from a UX research perspective. Read more to find out.

Article by Celine Lenoble
How Can User Experience Research (UXR) Help Build Users Trust in AI Systems and Increase Engagement?
  • The article covers the conception and design of ML-powered applications from a UX research perspective.
  • The author unpacks the following ideas:
    • Machine Learning and Real Users
    • Machine Learning and The Theory of Machine
    • Mental Models and User Engagement with Machine Learning Apps
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4 min read
How Can User Experience Research (UXR) Help Build Users Trust in AI Systems And Increase Engagement?

When less is usually — but not always — more

 

Article by Ed Orozco
Balancing Cognitive Load and Discoverability
  • The author explains how reducing cognitive load helps user interfaces seem easier to use.
  • The article covers:
    • Information Architecture & Cognitive Load
    • Staggered vs Flat Information Hierarchies
    • The case for a flat hierarchy
    • The case for a staggered hierarchy
  • Balancing cognitive load and information density requires a lot of skill and deep knowledge of your customer.
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3 min read
Balancing-cognitive-load-and-discoverability

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