Enhanced Rendering of Fluid Field Data Using Sonification and Visualization Maryia Kazakevich May 10, 2007.

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Enhanced Rendering of Fluid Field Data Using Sonification and Visualization Maryia Kazakevich May 10, 2007

2 Multi-Modal Project Overview Input: –Fluid field with velocity vector, pressure, plus potentially density, temperature and other data –Changes with time Output: –Visualization of the given fluid field –Sound characterizing given fluid field Ambient: global to the whole field Local: at the point or area of interaction Local region: particles of the specific subset area around the pointer contribute to the sound

3 Structure –Each rendering program is independent of any other Solution Data Server Max/MSP Program Main Program as Max/MSP object Visualization Program Haptic Program Haptic Device Image Sound

4 Sonification Types Contrast vs. Inverted Amplitude Modulation –velocity value is mapped to either increase or decrease in amplitude of the sound Amplitude vs. Frequency Modulation –highest velocity value is mapped to either loudest noise or highest pitch noise Before vs. after interpolation –many separate sounds for each vertex in the local area vs. 1 sound of the interpolated value at the position of virtual pointer

5 Usability Study Setup Focus on usability study –Compare Visual, Audio and Multi-Modal interface –Influence of audio setup –Simple rendering complex not always better, allows real-time calculations learning process Overall and single trials have to be fairly short –fatigue –sound sensitivity Many short trials –Large nodes in small field

6 Usability Study Setup Visual and/or Audio cues, haptic - navigation

7 Usability Study Setup Trials for each person: 3 groups of people: –frequency modulation –positive amplitude modulation (contrasted sound) –negative amplitude modulation (inverted sound)

8 Usability Study Results worst results for the audio-only system: –participants are slower in locating the goal –participants are less efficient in exploring the volume –Participants are less precise in locating the goal

9 Usability Study Results Specific system setup might help to improve performance:

10 Usability Study Results Multi-modal vs. Visual-only interface: Equal or better results for the multi-modal system –participants explore less space –participants are much faster in locating the goal position

11 Usability Study Results Specific system setup helps to improve performance

12 Usability Study Results In a specific audio setup of multi-modal system, participants are more precise in locating the goal:

13 Usability Study Conclusion Multi-modal system is more powerful than either pure visual or pure audio systems Specific mapping parameters influence system performance Different audio parameters are better for audio- only than for multi-modal interface Different audio parameters might be better for different conditions

14 Further work More sophisticated rendering algorithms –for visualization –for sonification –for haptic representation of the data Sonifying along pathlines, streaklines, streamlines, streamribbons and streamtubes Sonifying other data parameters Fully surrounding sound Self-adjusting system

The End