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Conveying a story through Sonification.

Enhancing the auditory output of sonified data with guiding cues

User Evaluation

Interview conducted in German language.

Translated to English for documentation.


Thank you for taking the time to participate in this study. It is conducted for the Master Thesis of „Melanie Daveid“ and we will listen to a Sonification together.


Sonification is the translation of data to sound which means for every data point there is a „piep“. The Sonification examples were created during a workshop (note: Sonification created by Melanie Daveid, Workshop is used to avoid bias), and you can openly speak how you feel about it, how you like it and think it can be improved.


The presented Sonification examples represent a cycling tour from Turin to Bussoleno.

You were asked to join this interview because you were cycling in the past and know how it feels to cycle long tours.


This interview consists of 4 steps:

We’ll listen to some sound examples to get accommodated to the concept of Sonification. Then we’ll listen to a Sonification and I’ll ask you some questions – last we’ll talk about it as a group. You are participating voluntarily and are allowed to leave at any time.


(Do not mention specific steps to avoid participants „searching“ for the peak right away)




Experiment Selection

Please draw a number to get started. This will be your participant number it is important for the documentation but not relevant for the interview. 




Interview Outline

👉 Let’s start! Please play the first sound snippets

(participants use play/stop button —> can go one by one mix up)


You listened to the examples now

Which data could these sounds represent related to cycling?

For example which activity, which data?


Example: like speed, elevation, altitude


ADAPTED: Let’s listen to the first one together.

This could represent the data of a cyclist going up —> Example A


Can you quickly explain what you hear?

Which data could be represented by the others?



👉 Ok! Now you know how Sonification works – Data is
    represented with Sound. Let’s listen to the Cycling Example:
    (Trend Analysis)


  • How would you interpret this Sonification?

  • Can you explain what happened on this cycling tour?
    (Expected: talk about speed, altitude)

  • Did you recognise difficult or easy parts in the cycling tour?

  • Was the cyclist going fast or slow?

  • Do you think this was a steep tour or rather flat?


In case the participant is lost:

We can listen to it again and you interpret what you hear right away. (Allow skipping ahead)

👉 Let’s listen to the Sonification again
    (Point Estimation)

This time we are trying to find „the peak“ the moment in which the cyclist reaches the peak Please listen carefully and once you think the elevation starts you raise your hand >>like that<< (give gesture example.

It will help you to indicate where „the peak“ is.


Ready? Let’s go!


  • Now that you listened to the Sonification. Would you like to listen again? (Allow skipping ahead)

  • Do you think you found the peak?

  • Was it difficult for you to indicate it?


  • How do you feel about creating sound out of data? Like/Dislike?

  • Do you have any improvements in mind?

  • Any ideas about how to use it in other ways?

That's a wrap! Thank you and see you later for the chat with the others!

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