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Will Conversational AI and Experience Design Revolutionize the Behavioral Sciences?

  • Artificial Intelligence, Augmented Reality, Automotive, Behavioral Science, Customer Experience, Defining AI, Design, Design Theory, Neuroscience, Psychology and Human Behavior, Technology, Usability, UX Education, UX Magazine, UX World Changing Ideas

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
IDEAS IN BRIEF
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

Inside the Design Process to Protect People’s Health on Public Transit

  • Accessibility, Automotive, Behavioral Science, Direct Observation Research, Empathy, Human factors

Who could have imagined the new vocabulary, behaviors, and habits we’d all acquire in one short year?

Article by Sarah Rich
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7 min read

Using Conversational AI to Make Humans Better at Work, and Work Better for Humans

  • Automotive, Conversational Design, Customer Experience, Defining AI, Employee Experience, Employment and Hiring, Interaction Design, Onboarding, Voice & Natural Language

Ideas from Deloitte: How the next generation digital workplace will leverage technology to create personalized experiences for workers.

Article by Greg Vert
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11 min read

Dispelling Some Common Myths About Conversational AI

  • Artificial Intelligence, Automotive, Conversational Design, Customer Experience, Defining AI

Perhaps an easier way to illustrate what conversational AI is is to clarify what it’s not. Here are myths about conversational AI that you should expel from your mind.

Article by Lance Christmann
IDEAS IN BRIEF
Dispelling Some Common Myths About Conversational AI

Conversational AI represents a vast, emergent set of technologies obscured by layers of hype and misinformation. Here are some common myths:

  • Conversational AI is just talking to machines. 
  • Business-minded people know enough to pick the best conversational AI platforms
  • Conversational AI is an Add-On. 
  • Pre-trained bots are less work. 
  • You should start big.
  • Automating current workflows is optimal
  • Phones are outdated and irrelevant 
  • You need to hire a conversational AI expert. 
  • You can get to the next level with the system you already have. 
  • There is one platform to rule them all. 
  • This is like any other software buildout. 
  • You can do this alone. 
  • You can upload all your organization’s stored data and proceed to launch
  • Your goal is to mimic humans
  • This stuff is easy

In reality, successful implementation of conversational AI requires an ecosystem built for hyperautomation, where shared libraries of information and code-free design tools make high-level automation and continual evolution an everyday thing.

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9 min read

Behind the design: Building a seamless experience to request a ride for others

  • Automotive, Business Value and ROI, Consumer products, Contextual User Studies, Design, Interface and Navigation Design, Mobile Applications, Mobile Technology, Product design, Product Releases and Redesigns

A conversation with Lyft Product Designer Kyo Kim

Article by David Hildebrand
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14 min read

Ten things I’ve learned as a UX researcher at Uber

  • Automotive, Behavioral Science, Contextual User Studies, Customer Experience, Design, Design Tools and Software, Development, Empathy, Interaction Design, Internal Company Dynamics

As I sit and reflect on my 3.5 years at Uber, I feel grateful and amazed by how much I’ve learned and grown in this role.

Article by Minal Jain
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12 min read

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