KLM Connecting Seats

Airports are crowded with people from different backgrounds. This Christmas, KLM brings them together with Connecting Seats. Two seats that translate every language in real time, so people with different cultures, world views, and languages can understand each other.

The experience design move

KLM does not try to tell a holiday message. It creates a small, human interaction in a high-friction environment. You sit down. You speak normally. The barrier between strangers is reduced by the seat itself.

Why this works as a Christmas idea

Christmas campaigns often rely on film and sentiment. This one uses participation. It makes connection visible. It gives the brand a role that feels practical rather than promotional.

The pattern to steal

If you want to create brand meaning in public spaces, this is a strong structure:

  • Pick a real-world tension people already feel (crowded, anonymous, culturally mixed spaces).
  • Introduce a simple intervention that changes behaviour in the moment.
  • Let the interaction carry the message, not a slogan.

A few fast answers before you act

What are KLM Connecting Seats?

Two seats designed to translate language in real time, so strangers can understand each other.

Where does this idea make sense operationally?

In airports and other transient spaces where people from different backgrounds sit near each other but rarely interact.

What is the core brand outcome?

A memorable, lived proof of “bringing people together,” delivered through an experience rather than a claim.

Google Goggles: Translate Text in Photos

A user takes a photo of text with an Android device, and Google Goggles translates the text in the photo in a fraction of a second. It uses Google’s machine translation plus image recognition to add a useful layer of context on top of what the camera sees. Right now, it supports German-to-English translations.

What Google Goggles is really doing here

This is not “just translation.” It is camera-based understanding. The app recognises text inside an image, then runs it through machine translation so the result appears immediately as usable meaning.

In everyday travel and commerce, camera-first translation removes friction at the exact moment that text blocks action.

Why this matters in everyday moments

If the camera becomes a translator, a lot of friction disappears in situations where text blocks action. Think menus, signs, instructions, tickets, posters, and product labels. The moment you can translate what you see, the environment becomes more navigable.

The constraint that limits the experience today

Language coverage determines usefulness. At the moment the feature only supports German-to-English, which is a strong proof point but still a narrow slice of what people want in real life.

The obvious next step

I can’t wait to see the day when Google comes up with a real-time voice translation device. At that point, we will never need to learn another language.


A few fast answers before you act

What does Google Goggles do in this example?

It translates text inside a photo taken from an Android device, using machine translation and image recognition.

How fast is the translation described to be?

It translates the text in a fraction of a second.

Which language pair is supported right now?

German-to-English.

What is the bigger idea behind this feature?

An additional layer of useful context on top of what the camera sees.

What next-step capability is called out?

Real-time voice translation.