Flag

We stand with Ukraine and our team members from Ukraine. Here are ways you can help

Get exclusive access to thought-provoking articles, bonus podcast content, and cutting-edge whitepapers. Become a member of the UX Magazine community today!

Home ›› Artificial Intelligence ›› Open vs Closed: a Critical Question for Designing and Building Experiences

Member-only story

Open vs Closed: a Critical Question for Designing and Building Experiences

by Josh Tyson
8 min read
Share this post on
Tweet
Share
Post
Share
Email
Print

Save

As we careen into the era of conversational AI and hyperautomation, closed systems create bad experiences that stifle innovation and opportunity

Maybe you’ve seen the meme knocking around the internet: a photo of British octogenarian David Latimer who bottled a handful of seeds in a glass carboy in 1960 and left it largely untouched for almost 50 years (uncorking it only once, in 1972, to add a little water). His 10-gallon garden created its own miniature ecosystem, and has thrived for more than half a century. [1]

In the realm of technology, closed platforms are like Latimer’s terrarium: they can be highly functional, beautiful, and awe inspiring, but they can only grow as big as their bottles. The current business landscape, however—with businesses attempting to sequence as many innovative technologies as possible, as quickly as possible, to automate business processes, workflows, tasks, and communications—requires an architecture that breaks out well beyond these glass walls.

For something like the original iPhone, a terrarium was just fine. Everything a user needed to enjoy its functionalities was baked right into the original version of iOS. Keeping the system closed ensured the quality of the apps and created a seamless overall experience, which contributed to its success, despite the fact that it didn’t have nearly as much functionality as other mobile devices at the time.

Become a member to read the whole content.

Become a member
post authorJosh Tyson

Josh Tyson
Josh Tyson is the co-author of the first bestselling book about conversational AI, Age of Invisible Machines. He is also the Director of Creative Content at OneReach.ai and co-host of both the Invisible Machines and N9K podcasts. His writing has appeared in numerous publications over the years, including Chicago Reader, Fast Company, FLAUNT, The New York Times, Observer, SLAP, Stop Smiling, Thrasher, and Westword. 

Tweet
Share
Post
Share
Email
Print

Related Articles

Is consciousness the next frontier of technology? Explore how AI, psychedelics, and philosophy converge to challenge our understanding of awareness, reality, and what it means to be truly alive.

Article by Oliver Inderwildi
Conscious Machines: Impossible Feat, Ethical Nightmare, or Evolution’s Next Step?
  • This article delves into the enigma of consciousness, exploring its emergence, malleability, and the philosophical debate on whether it can exist independently of biological systems.
  • It examines key factors driving consciousness into mainstream discourse, including advancements in AI, the resurgence of psychedelics in mental health, and the influence of popular culture and science literature.
  • The piece critically evaluates the possibility of machine consciousness, contrasting philosophical perspectives on its feasibility and implications for ethics, technology, and our understanding of reality.
Share:Conscious Machines: Impossible Feat, Ethical Nightmare, or Evolution’s Next Step?
13 min read

Discover how AI-powered gesture-based navigation is redefining app experiences, making interactions more intuitive and personalized. Explore the opportunities and challenges of this design revolution.

Article by Kevin Gates
Designing Serendipity
  • This article explores the role of AI in enhancing app navigation through gesture-based interactions, emphasizing a shift from traditional menus to intuitive, swipe-driven experiences.
  • It examines the intersection of AI and interaction design, highlighting how machine learning can support user discovery by anticipating needs and surfacing relevant content.
  • The piece critically assesses the potential of gesture-based navigation to improve accessibility, user engagement, and overall app usability, while addressing design challenges and potential pitfalls.
Share:Designing Serendipity
11 min read

Discover how AI is changing UX research. It’s not just making data analysis faster. It’s also encouraging people to think more deeply. Learn how to strike a balance between human insight and AI-driven efficiency to create more thoughtful designs.

Article by Charles Gedeon
How AI and Metacognition Are Shaping UX Research
  • The article talks about how AI can speed up data analysis and encourage people to think more deeply about biases and missed insights, which can improve the quality of user-centered design.
  • It shows that AI-powered UX research tools need to include reflection checkpoints. These checkpoints let researchers critically assess their assumptions and conclusions.
  • The piece highlights the collaboration between AI’s ability to recognize patterns and human judgment to make sure the research outcomes are meaningful and consider the context.
Share:How AI and Metacognition Are Shaping UX Research
4 min read

Join the UX Magazine community!

Stay informed with exclusive content on the intersection of UX, AI agents, and agentic automation—essential reading for future-focused professionals.

Hello!

You're officially a member of the UX Magazine Community.
We're excited to have you with us!

Thank you!

To begin viewing member content, please verify your email.

Tell us about you. Enroll in the course.

    This website uses cookies to ensure you get the best experience on our website. Check our privacy policy and