Rosenverse
Moving AI offscreen: Exploring failures, constraints, and recovery in physical game design

This video is only accessible to Gold members. Log in or register for a free Gold Trial Account to watch.

Log in Register

Most conference talks are accessible to Gold members, while community videos are generally available to all logged-in members.

Moving AI offscreen: Exploring failures, constraints, and recovery in physical game design

Gold
Wednesday, June 10, 2026 • Designing with AI 2026

This video is featured in the AI Conference playlist.

Share the love for this talk
Moving AI offscreen: Exploring failures, constraints, and recovery in physical game design
Speakers: Kritika Sony
Link:

Summary

This case study explores what happens when generative AI moves off the screen and into a physical, walk-up-and-play game. Built by a team of four non-engineers, the project used AI to design and prototype everything from game logic to custom 3D-printed and laser-cut controllers. While AI accelerated early exploration, it repeatedly failed in physical space, where sensor noise, variability, and real players exposed its limits. The case study focuses on how designing for failure, constraints, and recovery ultimately mattered more than making the AI smarter, and what this reveals about trust, responsibility, and design judgment when AI becomes part of a real-world interactive system.

Key Insights

  • •

    AI compresses years of training and enables access to unfamiliar design domains rather than replacing expertise.

  • •

    Providing AI with rich contextual information via voice input improves output relevance significantly compared to short typed prompts.

  • •

    Validating concepts cheaply with basic physical prototypes before investing in hardware avoids wasting resources.

  • •

    AI can generate usable 3D design files and even scripting code to create printable models, accelerating prototyping.

  • •

    Iterative back-and-forth with AI to refine outputs is a critical skill, not a single-prompt solution.

  • •

    AI-generated solutions may work once but can fail in variable real-world conditions, necessitating user testing.

  • •

    Physical hardware design forces more rigorous consideration of edge cases compared to software alone.

  • •

    Tools like Adafruit's Circuit Playground Express enable physical inputs to simulate keyboard presses in software easily.

  • •

    Scaling 3D prints requires adjusting slicer settings manually, a complexity AI cannot yet fully solve.

  • •

    AI opens the door for creators to realize ideas they thought were out of reach, even without formal expertise.

Notable Quotes

"AI is not going to make you an expert but it compresses access to previously inaccessible domains."

"Don’t type with AI, talk to it like a brilliant colleague who knows nothing about your project yet—give it everything."

"Working with AI is a back and forth negotiation, not a vending machine where one prompt gets you the answer."

"The lesson isn’t that AI was wrong, but that you still have to test it against your users."

"I am not a hardware engineer, but I made something requiring those skills because AI gave me access to the doorway."

"In physical design, edge cases are more visible and testing immediately shows you problems you might have missed in software."

"AI can generate 3D models and geometry files, which you can directly import and print after careful checking."

"When scaling up 3D prints, slicer settings have to be adjusted—something AI didn’t help me with."

"A feature that only works some of the time is a feature that fails publicly in a walk-up installation."

"You don’t have to build a game; maybe you want to build a toy for your cat or a lamp—it just has to be yours."

Ask the Rosenbot
James Wieselman Schulman
Research is a team sport: advancing the work when everyone does the research
2026 • Advancing Research 2026
Gold
Deanna Washington
Scaling Success: Paving the Path from DesignOps to VP
2023 • DesignOps Summit 2023
Gold
Ari Zelmanow
Dark Side of Democratization
2023 • Advancing Research Community
Sarah Fathallah
Beyond insights: Rethinking the role of researchers as stewards of organizational wisdom
2025 • Advancing Research 2025
Gold
Sarah Flamion
Complex Problem? Add Clarity by Combining Research and Systems Thinking
2020 • Advancing Research 2020
Gold
Kristen Honey
"Let’s Talk About Data and Crisis”: Public Digital Service Delivery = Open Data + Human Centered Design
2021 • Civic Design Community
Jose Coronado
People First - Design at JP Morgan
2021 • Design at Scale 2021
Gold
Anna Avrekh
Expert Panel: Leading in and with Research
2022 • Advancing Research 2022
Gold
Sam Proulx
Online Shopping: Designing an Accessible Experience
2023 • Design in Product 2023
Gold
Frances Yllana
DesignOps Exposed: What do our peers really think of us?
2025 • DesignOps Summit 2025
Gold
Tricia Wang
The most popular design thinking strategy is BS
2022 • Enterprise Community
Mackenzie Cockram
Integrating Qualitative and Quantitative Research from Discovery to Live
2022 • QuantQual Interest Group
Chui Chui Tan
Global insights: Embracing international and intercultural research for innovation
2025 • Advancing Research 2025
Gold
Charlotte Lee
Theme 1 Intro
2021 • Civic Design 2021
Gold
Jane Davis
Strategic Shifts and Innovations in User Research: Navigating Challenges and Opportunities
2025 • Advancing Research 2025
Gold
Bria Alexander
Theme Two Intro
2023 • DesignOps Summit 2023
Gold

More Videos

Dan Saffer

"Most AI fails because projects require near perfect accuracy, which AI can't reliably deliver."

Dan Saffer

Why AI projects fail (and what we can do about it)

May 14, 2025

Tom Armitage

"Your job is not producing assets; it’s usually some other kind of process. If it’s only about assets, find a better job."

Tom Armitage Carla Diana Kanene Ayo Holder

Day 2 Panel: Looking ahead: Designing with AI in 2026

June 11, 2025

Phil Hesketh

"Nearly half of adults in the UK read at a literacy level that makes understanding complex documents very challenging."

Phil Hesketh

Designing Accessible Research Workflows

September 29, 2021

Jemma Ahmed

"Framing research as a way for us to work collaboratively and solve problems from its department, not just the UX or design team."

Jemma Ahmed Chris Geison

Bridge Building across Research Disciplines

August 26, 2021

Marjorie Stainback

"Remote, unmoderated usability studies give designers feedback in less than a day."

Marjorie Stainback Kelsey Kingman

Transforming Strategic Research Capacity through Democratization

October 24, 2019

Holly Cole

"Diary studies are fantastic when you're looking at growing a team and onboarding new people."

Holly Cole

Understanding Experiences: When you have to do more than work

November 8, 2018

Gretchen Anderson

"Human-centered design is not just about your end users, it’s about the humans in your team."

Gretchen Anderson

Scaling the Human Center

June 8, 2017

Samuel Martin

"You should never be engaging lived experts without compensating them for their time."

Samuel Martin

Co-Design vs Faux-Design: Navigating the Complexities of Sharing Power in Co-Design

March 27, 2026

Jacqui Frey

"Scale is social work because it’s about creating relationships and reducing friction."

Jacqui Frey

Scale is Social Work

March 19, 2020