Research Article
A design-driven sonification process for supporting expert users in real-time anomaly detection: Towards applied guidelines
@ARTICLE{10.4108/eai.13-7-2018.163994, author={S. Lenzi and G. Terenghi and A. Moreno-Fernandez-de-Leceta}, title={A design-driven sonification process for supporting expert users in real-time anomaly detection: Towards applied guidelines}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={7}, number={23}, publisher={EAI}, journal_a={CT}, year={2020}, month={4}, keywords={data sonification, process monitoring, design research, sound design, soundscape}, doi={10.4108/eai.13-7-2018.163994} }- S. Lenzi
G. Terenghi
A. Moreno-Fernandez-de-Leceta
Year: 2020
A design-driven sonification process for supporting expert users in real-time anomaly detection: Towards applied guidelines
CT
EAI
DOI: 10.4108/eai.13-7-2018.163994
Abstract
INTRODUCTION: We present early results of an ongoing investigation into the use of sound for real-time monitoring of anomalous behaviour in digital and digital/physical systems.
OBJECTIVES: We aim to define design guidelines to both support authors in the process of creating sonifications that are both efficient and engaging and the transition of sonification into a mass medium for the representation of data in everyday life.
METHODS: Through two Design Actions, we apply Design Research to the definition of the use case, the interaction paradigm and the experimental protocol for real-world evaluation of sonification tools.
RESULTS: Two Design Actions are described. Methodologies and results of the first experimental phase are presented in detail along with their influence on the second phase, currently ongoing.
CONCLUSION: We sketch a tentative design-driven process for sonifications for the real-time monitoring of anomalous behaviour in digital and digital/physical systems.
Copyright © 2020 S. Lenzi et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.