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:根据对三维打印的案例研究,我们一直在试验用于外围过程监测的多维数据的精度。在前一份文件中,我们测试了将故意不和谐的自然和音乐声音结合在一起的声景的有效性。这是基于这样的假设,即如果听觉刺激在生态上不连贯,则能够更好地相互脱节,从而可以对各种通知作出更好的反应率。在本文中,我们通过测试两种新的声学学学,每个都完全由音乐或自然声音组成。然后,我们通过与前一份文件相同的双重任务评价程序来进行这些杂念,以便进行比较。结果似乎有利于我们的假设,因为新的生态学没有被像最初那样准确地检测。尽管一套自然声音似乎被测试者认为较少干扰性,并且能够让外部主要任务更好地表现。我们希望这项工作成为更大范围的研究的一部分,最终可以就周边声学设计中的生态一致性的影响提供更明确的答案。