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Use of Natural Sounds and Metaphors for Data Perceptualization

机译:使用自然声音和隐喻进行数据感知化

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摘要

We describe three systems that use natural or event-based sounds as means of data delivery. In these systems we have mapped data to natural sounds using metaphors. In the first system we evaluate the use of sounds of air, horn, and train to convey ordered numeric values between 1 to 6. An example of the metaphor used here is the association of speed values to the sound of a moving train at different speeds. In the second system, we use sounds of ocean waves to convey whether the exposure in a protein structural alignment is buried, partially exposed or fully exposed. The metaphor used here is the association of sound with how exposed the user is with respect to the ocean. In the third system, we map animal sounds such as the sound of a roaring lion or a chirping bird to certain stocks based on user preferences. The behavior of the stocks are then sounded by the use of whistles (up to down) and car crash to signify the movement in prices of the stocks. An up whistling sound can be clearly associated with an uptrend. We present and discuss the results of user evaluation studies for all the three systems.
机译:我们描述了三种系统,该系统使用自然或基于事件的声音作为数据传递的手段。在这些系统中,我们将数据映射到使用隐喻的自然声音。在第一个系统中,我们评估空气,喇叭和火车的声音来传达1到6之间的订购数值。这里使用的隐喻的示例是以不同速度的移动列车声音的关联。在第二个系统中,我们使用海浪的声音来传达蛋白质结构对准中的暴露,部分暴露或完全暴露。这里使用的隐喻是声音与用户如何相对于海洋的关联。在第三个系统中,我们将动物的声音映射,例如咆哮的狮子或唧唧喳喳的声音,基于用户偏好的某些股票。股票的行为被吹口哨(最多)和汽车撞车撞击致力于象征股票价格的运动。吹口哨声音可以明显与上升趋势有关。我们展示并讨论所有三种系统的用户评估研究结果。

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