Abstract
The calibration of chemical sensors is important for ensuring signal integrity. However, for some sensors this can be time-consuming, and without prompt and adequate feedback users may be unaware of calibration errors until post-session analysis is conducted. To address this challenge, we present a real-time sonification framework designed to facilitate efficient monitoring of chemical sensor performance during the calibration stage. The system displays batches of sensor calibration data, collected synchronously, and provides auditory feedback in a sequential time-based manner. To aid users in identifying noisy behaviors in sensor data and comprehending their values, the framework employs three auditory representations: musical note sequences, speech cues, and click sounds. The iterative design process followed a user-centered approach. We detail the iterations of the design, and subsequently evaluate the final approach through a user listening test, discuss benefits and drawbacks of the design, and incorporate user feedback. Our user listening tests conducted using real world data, demonstrate that our method enables efficient detection of abnormal sensor data behaviors.
Original language | English |
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Number of pages | 8 |
Publication status | Published - 2 Jul 2024 |
Event | Sound and Music Computing: Immersive - ESMAE, Porto, Portugal Duration: 4 Jul 2024 → 6 Jul 2024 Conference number: 2024 https://smcnetwork.org/smc2024/ |
Conference
Conference | Sound and Music Computing |
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Abbreviated title | SMC |
Country/Territory | Portugal |
City | Porto |
Period | 4/07/24 → 6/07/24 |
Internet address |