CASE STUDY

Spotify:
Mash Up

Client:

Immense

Output:

Responsive web app

💡 Ideation

🌎 User journey mapping

🎨 Hi-fidelity mockups

🎁 Design delivery

OVERVIEW

The problem

Spotify would like to find out if they can recommend music to listeners without being constrained by the listeners own preferred music genres.

The Solution

Create a proof of concept that uses the emerging digital technologies of facial recognition and AI emotion tracking to create an interactive experience that allows a user to record their emotional response to a music video and compare the results to their pre-stated preferences.

CLIENT ENGAGEMENT

We met with Spotify at their Oxford Street office to discuss what type of opportunities emotionally intelligent technology can unlock.

The project was defined as a proof of concept to showcase emotional technology and how it can be used to improve Spotify's user experience.

PROOF OF CONCEPT

After meeting Spotify we agreed that an independent experience would be designed to capture emotional data to a stimulus video and compare it to user survey data. The result would the comparison of the users stated likes and dislikes to the unbiased emotional data gathered.

LAUNCH & FEEDBACK

We launched the Spotify Mash Up prototype at the Mindshare Huddle 2015.

Seeing how the design worked first hand I had the opportunity to interview participants as they used the prototype and where the design was most and least successful. Also we were asking about the value a similar product would bring to Spotify users to asses user need.