Speaker
Description
Hospital soundscapes shape patient recovery, staff performance, and the communicative value of functional sounds such as alarms and speech, yet they remain difficult indoor environments to characterise perceptually. ISO 12913 instruments deliver rich individual assessments but require time, explanation, or researcher presence; automated sound monitoring captures event-level acoustic data but not subjective experience. This contribution explores the space between. Extending a lineage of mobile soundscape tools such as Hush City, it presents a mobile web application through which patients, staff, and visitors self-report their momentary perception of the sound environment in roughly sixty seconds — not an automated measurement, but a first-person perceptual judgment requiring no training to complete. The app compresses the ISO/TS 12913-2 Method A questionnaire, rendering Axelsson et al.'s (2010) circumplex through two continuous sliders coupled to a dynamic descriptor cloud drawn from a validated 116-word pool, intentionally trading depth for speed. Each response captures one impression rather than an overall experience; repeated responses accumulate, in an International Soundscape Database–compatible schema, into a temporally and demographically distributed picture — complementing automated monitoring rather than replacing it. A working prototype is demonstrated, and three design questions — input modality, descriptor scope, and data-collection model — are opened to community feedback ahead of a planned hospital pilot.