Based on a case study on 3D printing, we have been experimenting on the sonification of multidimensional data for peripheral process monitoring. In a previous paper, we tested the effectiveness of a soundscape which combined intentionally incongruous natural and musical sounds. This was based on the hypothesis that auditory stimuli could better stand out from one another if they were less ecologically coherent, thus allowing for better reaction rates to various notifications. In this paper, we follow up on that hypothesis by testing two new acoustic ecologies, each exclusively consisting of either musical or natural sounds. We then run those ecologies through the same dual-task evaluation process as the previous one in order to compare them. The results seem to favor our hypothesis, as the new ecologies were not detected as accurately as the original. Though, the set of natural sounds seemed to be considered less intrusive by testers, and to allow for a better performance at an external primary task. We hope to see this work become part of a much larger corpus of studies, which may eventually provide a more definite answer on the effect of ecological coherence in peripheral soundscape design.

翻译：基于一项关于3D打印的案例研究，我们一直在探索用于周边过程监控的多维数据声景化方法。在之前的论文中，我们测试了一种结合了刻意不和谐的自然声与音乐声的声景效果。这一研究基于以下假设：若听觉刺激在生态一致性方面较为薄弱，则它们之间更易相互凸显，从而提升对各类通知的反应速度。本文沿袭该假设，测试了两种全新的声学生态场景，分别由纯音乐声或纯自然声构成。随后，我们采用与先前研究相同的双任务评估流程对这两种声景进行评估以进行对比。实验结果似乎支持我们的假设：新构建的声景在探测准确性上不如原有方案。不过，测试者认为自然声组侵入性较低，且更有利于在外部主任务中取得更优表现。我们期望这项研究能成为更大规模研究体系的一部分，最终为周边声景设计中生态一致性效应提供更确定的结论。