Musée des Arts & Métiers x CNAM

In 2017, I worked 6 months with the Musée des arts & Metiers and researchers from the CNAM to develop a museum experience. We designed a universal mediation service.

With Cartel, the user simply switch the smartphone or one of the NFC badges provided on the panel with the name of the artwork and with this simple gesture, he obtains 4 keywords to contextualize the artwork. If he wishes he can deep them. 

The museum can have a heat map of the most viewed works and recover the data to improve the scenography.

The key point is that the Cartel device does not force the visitor's hand. He piques curiosity by offering adapted services to involve him at the moment T and not to interrupt his visit. By focusing attention on what surrounds it and not on the interface, the visitor experience takes precedence over technology and the arwork remains at the center of the journey.

Mission
User research, Userflow, Prototyping, User test animation, UI design

Partners
Juliette Temem, Christophe Petitjean, & Jeremie Kornobis for the Musée des arts & Metiers x CNAM Cedric

Year
2017

Shadowing

We infiltrated the museum as under cover agent to follow visitors and observe their interactions with the artworks, and how they use the mediation devices of the museums.

Interviews

At the end of their visit, we interviewed our personas for pain points and insights.

Workshops

We had several workshops of co-creation with CNAM researchers where we created the concept.

Prototype

We created the user flows, and prototyped the device for user testing

User testing

We recruited users and created a test scenario. We were able to test the scenography directly inside the museum. The Gobelin’s lab loaned us special eyeglasses for testing. With this special device were able to get information about our interface and observe what the user was watching in real time.

Feedbacks

At the end of our tests we collected feedbacks from users on our device and the experience they had lived.
This feedbacks allowed us to make a list of improvements that we could put in place in future iterations.