rawTemp is an interactive multisensory data representation which allows its users to interact with temperature data through sound and visuals, essentially letting the users “play” the climate data. It turns the yearly average temperature in Sweden, from 1900 to 2023, into moving images and sound. Every key on a MIDI keyboard represents one year. When you hold down a key, a swarm of 5,000 particles on the screen shows how warm that year was: blue and almost still when it was cold, red and restless when it was a warm year. A sonification of the temperature also plays as you press down a key, which lets you hear whether it was a cold or a warm year. The sound and visuals were designed to work together in order to give the user a full sensory experience of a specific year’s temperature.
The core idea I wanted to explore was if it would be possible for users to “feel” the data in a more tangible way through abstract visualisations and sonifications compared to traditional visualisations such as charts and graphs. The project started as my master’s thesis in ‘Interactive Media Design’ at Södertörn University in January 2025. I was interested in finding out if it was possible to evoke emotional responses and a sense of urgency through ambiguous designs, to have the users create their own meaning and tie that to what the data is showing, that it is getting warmer. Climate data is usually shown as a line on a chart, and I wanted to find out whether the same data reaches people differently when it arrives through embodied means such as sound and movement instead. Ten people participated in the contextual inquiries, user testing combined with interviews, and many of them understood the core idea within five minutes, with minimal context and only the visuals and number of the year on the screen.
This work was selected to be presented at the conference Creativity & Cognition 2026 at UAL Central Saint Martins in London, and a corresponding paper “Multisensory climate communication: Meaning-making through interactive audiovisual atmospheres” was published in the Association for Computing Machinery digital library. Full paper is available through the link in the table or below. The initial prototype was built together with Eelis Lähteenaro in Unity. In the summer of 2026 I rebuilt the system from scratch in Swift for the conference.
















