Sonification for 3D Printing Process Monitoring

Maxime Poret (1) , Sébastien Ibarboure (2) , Matthias Robine (1) , Emmanuel Duc (3) , Catherine Semal (4) , Myriam Desainte-Catherine (1) , Nadine Couture (2)

1 LaBRI - Laboratoire Bordelais de Recherche en Informatique
2 ESTIA INSTITUTE OF TECHNOLOGY
3 SIGMA Clermont - SIGMA Clermont
4 ENSC - Ecole Nationale Supérieure de Cognitique

In order to monitor a 3D printing industrial process in a context of sensory overload and potential inattentional deafness, we designed a sonification of the information sent in by the printer. This sonification focuses not only on proper communication of the system's state, but also on lowering the amount of stress usually induced by prolonged listening. To this end, we made use of a combination of synthetic and natural sounds whose perceptual properties were modulated according to the data influx using parameter mapping. Then an experiment was conducted on the recognition of various normal and abnormal behaviours, also allowing the participants to assess the amount of stress they experienced upon listening. The results are quite promising, but also highlight a confusing overlap in the natural sounds used, which will need to be fixed in future iterations. For now, tester opinion is mostly positive on the stressful aspect. However, listening times may need to be longer in further experimentation to better assess how stressful this sonification is.

Domaines: Interface homme-machine [cs.HC]; Informatique [cs]

Maxime Poret, Sébastien Ibarboure, Matthias Robine, Emmanuel Duc, Catherine Semal, et al.. Sonification for 3D Printing Process Monitoring. International Computer Music Conference, 2020, Santiago, Chile. ⟨hal-03118034⟩