S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: Sounding Uncertainty Visualization. In Roni Yagel and Gregory M. Nielson, editors, IEEE Visualization '96, pages 189--196. IEEE, 1996. 1  Home/Search   Document Not in Database   Summary   Related Articles   Check

....in an organic and effective manner. Mane approaches which have been effective can be roughly broken down into these basic categories. Sampling approaches rely on showing uncertainty information only as discrete points of the space. Examples are uncertainty glyphs [12, 16] sonification [7, 11, 9], procedural annotations [2] and discrete probability distributions [14] These methods are useful as sampling devices, however, the fact that uncertainty is only shown in discrete points limits their utility in continuous domains. Another group of approaches relies on simply treating ....

S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: sounding uncertainty visualization. In Proceedings of Visualization 96, pages 189--195. IEEE, 1996.

....example, Hunter et al. Hunt93] there has not been much research into identifying and visualizing the uncertainty in data. Recently, however, researchers in other fields have begun to address this issue. For example, Lodha and Pang have experimented with visualizing uncertainty in vector fields [Pang94, Lodh96a, Lodh96b, Witt96, Shen98] and Cignoni et al. Cign98] have developed a tool, Metro, for visualizing mesh surface approximation error. In addition to the very difficult problem of identifying and maintaining the error itself, it is also very difficult to present that error to the user in an effective and meaningful form. ....

Lodha, S.K., C.M. Wilson and R.E. Sheehan, "LISTEN: Sounding Uncertainty Visualization", Proc. IEEE Visualization '96, 1996, pp. 189-195.

.... Lodha, Joseph, and Renteria find that bi modal visual and sound data mappings together provided more accurate understanding of data displays [6] Sonification, or mapping of data to non speech sound, can use parameters of pitch, volume, timbre, duration, frequency, amplitude, and rhythm [5, 7] in a sound clip. 4 Prototype System To explore the possibilities of such systems, we are developing a prototype that incorporates novel visualization and sonification techniques for IDS data. The general requirements for this system are: Flexible can easily and quickly be adapted to new ....

Suresh K. Lodha, Catherine M. Wilson, and Robert E. Sheehan. Listen: Sounding uncertainty visualization. In IEEE Visualization '96, pages 189--196, 1996.

....and allow data validation. An excellent discussion of additional benefits of auditory display in conjunction with other displays can be found in [Kra94, MF95] We have explored the use of sonification in visualizing uncertainty of flow visualization and surface interpolation using LISTEN [LWS96] LISTEN is a data sonification system that allows interactive mapping of data to sound parameters such as pitch, duration, volume, and timbre. Here, we describe two examples of sonifying uncertainty together with animation. In the first example, a glyph was chosen to move along a desired path or ....

S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: sounding uncertainty visualization. In Proceedings of Visualization 96. IEEE, 1996.

....based on detection of specific features such as vortex tubes and shock waves resulting in explicit representation of feature objects. The features are correlated and are compared qualitatively and quantitatively (juxtaposition) Some efforts in visualization of uncertainty have been conducted [8][9][20] Much of the work went into the use of visualization as a means to display the uncertainty that arises from transformations (sampling, smoothing, modeling) or visualization algorithms. Although laudable, it is perhaps equally important to understand how parameters of visualization influence ....

Lodha S. K., Wilson C. M., Sheehan R. E., "LISTEN: Sounding Uncertainty Visualization," Proceedings of Visualization'96, San Francisco, CA, October 1996, pp. 189-195.

....altitude and location. In AWE, we have used distance based interpolation, that is one of the methods used in meteorological computations [9,21] to fill in the missing values. We are aware of the data uncertainty problems arising due to this approach, but we have addressed these concerns elsewhere [24,47,15,14]. METAR: The METAR report also begins with the airport identifier. An example is shown in Figure 8. We will decipher the first row of this figure. KSQL stands for the San Carlos (CA) airport. 181646Z specifies the date (18) and the time of observation (16:46) The month and year is implicit in ....

S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: sounding uncertainty visualization. In Proceedings of IEEE Visualization '96, San Francisco, California, pages 189--196. IEEE, October 1996.

....sound parameters timbre, rhythm, volume, pitch (melody) tempo and harmony. BACKGROUND In this work, we use sound in conjunction with visualization. An excellent discussion of the benefits of this approach can be found in Kramer [14] Although several sonification systems have been proposed [2, 3, 11, 17, 16, 15] that can work in conjunction with visualization, most of these systems use a finite collection of pre recorded sounds or very simple synthesized sounds. This results in two major drawbacks. First, since the collection of different sounds that can be generated is rather small, the flexibility in ....

S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: sounding uncertainty visualization. In Proceedings of Visualization 96. IEEE, 1996.

....We have tested these methods on analytical data sets. The resulting visualizations of data and uncertainty are integrated together. This is an important first step towards presenting an accurate depiction of the data to the user. Recently UFLOW has also been extended to incorporate sonification [14]. We believe that these methods will prove valuable to people who need to make informed decisions based on imperfect data or processes. We plan to extend this work in several directions. First, UFLOW can be easily extended to incorporate new flow visualization algorithms aside from streamlines. ....

S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: sounding uncertainty visualization. In Proceedings of Visualization 96. IEEE, 1996.

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S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: Sounding Uncertainty Visualization. In Roni Yagel and Gregory M. Nielson, editors, IEEE Visualization '96, pages 189--196. IEEE, 1996. 1

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S. K. Lodha, C. M. Wilson, and R. E. Sheehan, "Listen: sounding uncertainty visualization," in Visualization '96, Proc. IEEE, pp. 189--195, 1996.

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S. Lodha, C. Wilson, and R. Sheehan. LISTEN: Sounding uncertainty visualization. In IEEE Visualization '96. IEEE, October 1996.

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S. K. Lodha, C. M. Wilson, and R. E. Sheehan. LISTEN: Sounding Uncertainty Visualization. In Roni Yagel and Gregory M. Nielson, editors, IEEE Visualization '96, pages 189--196. IEEE, 1996. 1

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