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Exploration of directional-predictive sounds for nonvisual interaction with graphs

机译:探索与图形的非视觉交互的方向性预测声音

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Sonification of stylus movements accompanied with kinesthetic feedback is one of possible techniques to develop cross-modal coordination in the absence of visual information. The investigated problems are the following: how to minimize the number of sounds while increasing the information they contain and how to choose a natural sonification grammar which would not require extra cognitive efforts. We demonstrate two case studies of employing directional-predictive sounds (DPS). Stylus movements were sonified through three sound signals taking into account the exploration behavior and the concept of the capture radius. The performance of eight subjects was evaluated in terms of the stylus deviation in relation to the points of the virtual graph, a length of the scanpaths, and the task completion time. When stylus movements were accompanied with the DPS signals within four capture radiuses, the deviation of the stylus from the graph inspected was always less than one capture radius. The scanpaths were 24–40% shorter in length and the task completion times decreased by 20–25%. We also demonstrate the game application which was designed to optimize an exploration behavior enhanced by the DPS. The results of the proposed sonification technique based on the model of the exploration behavior are discussed.
机译:手写笔运动伴随运动感觉反馈的超声处理是在缺乏视觉信息的情况下发展跨模式协调的一种可能技术。研究的问题如下:如何在增加声音包含的信息的同时最大程度地减少声音的数量,以及如何选择不需要额外的认知努力的自然的声音化语法。我们演示了使用定向预测声音(DPS)的两个案例研究。考虑到探测行为和捕获半径的概念,通过三个声音信号对触控笔的运动进行了超声处理。根据与虚拟图的点有关的笔针偏差,扫描路径的长度和任务完成时间来评估八名受试者的表现。当测针运动在四个捕获半径内伴随DPS信号时,测针与所检查图形的偏差始终小于一个捕获半径。扫描路径的长度缩短了24-40%,任务完成时间减少了20-25%。我们还将演示旨在优化DPS增强的探索行为的游戏应用程序。讨论了基于勘探行为模型提出的超声处理技术的结果。

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