
Julian Chokkattu
· 1 min read
This AI Tamagotchi Turns Everyday Objects Into Needy Virtual Pets
You forgot to water the plant. Instead of seeing yellowing leaves, you see a cute plant-shaped pet on a tiny screen, looking sad and dejected. Maybe that'll give you the push you needed to grab the watering can. As you pour water into the soil, the plant pet on the screen gets excited and happy.
That's the idea behind OATs, or Object Agent Twins—micro-agent AI avatars on tiny E Ink displays designed to pair with everyday household objects. The tech was created by Daehwa Kim, a fifth-year PhD student in Carnegie Mellon's Future Interfaces Group. Kim presented the project at the ACM Symposium on User Interface Software and Technology in Detroit in early November, a forum where academics and industry experts explore human-computer interfaces, and she earned two Honorable Mention awards.
You might remember Tamagotchi, the popular egg-shaped toys from the ‘90s that housed digital pets requiring real-time care and attention. Kim’s goal was to bring a similar experience to physical objects in our lives. “We bring this joy of caring from virtual to physical objects,” she tells WIRED. While folks have encouraged Kim to sell OATs kits online, she hasn't decided whether to pursue it as a business opportunity.
Kim says everyone spends all day staring at mobile devices, and AI agents—even if they're designed to handle tasks on your behalf—still demand attention from your smartphone screen. OATs were a way to bring those interactions out into the real world.
Giving AI a physical body isn't new, as companies rush to create “the next smartphone,” whether that's failed attempts like the Humane Ai Pin, OpenAI's upcoming hardware created in collaboration with famed ex-Apple designer Jony Ive, or Meta's Muse Charm. The pocket-sized gadget houses Meta's popular Muse AI agent and is expected to launch in December. Increasingly, though, companies have leaned on “cuteness” in their strategy for widespread adoption.
Original source
This story was published by WIRED: AI and written by Julian Chokkattu. SyncAI.news shows a preview; the complete article is on the publisher's site.
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