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However, sonification has spread in simpler forms. We present a data set from Google scholar that provides insights into the state of sonification research. Based on these data, the literature, and a small expert poll, we propose criteria for effective sonification design: the use of easily perceptible sounds, that are mapped naturally, do not contradict the data metaphor, and are appropriate to the task. A quantitative analysis of the data found no correlation between effective sonifications and the number of citations or the year of their publishing."}]}],"bf:provisionActivity":[{"@type":"bf:Publication","bf:agent":[{"@type":"schema:Organization","schema:name":[{"@value":"ACM"}]}],"bf:date":["2023-09-30"],"bf:place":[{"@type":"schema:Place","skos:prefLabel":[{"@value":"Edinburgh, United Kingdom"}]}]}],"dce:rights":[{"@language":"eng","@value":"© 2023 the authors. This is the author’s version of the work. It is posted here for your personal use. Not for redistribution. 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