User-Based Evaluation of Data-Driven Haptic Rendering

被引：21

作者：

Hoever, Raphael ^{[1
]}

Di Luca, Massimiliano ^{[2
]}

Harders, Matthias

机构：

[1] Swiss Fed Inst Technol, Comp Vis Lab, Virtual Real Med Grp, CH-8092 Zurich, Switzerland

[2] Max Planck Inst Biol Cybernet, D-72076 Tubingen, Germany

来源：

ACM TRANSACTIONS ON APPLIED PERCEPTION | 2010年 / 8卷 / 01期

关键词：

Algorithms; Human Factors; Measurement; Verification; Discrimination study; force discrimination; haptic rendering; deformable models; MANUAL DISCRIMINATION; FORCE; TELEPRESENCE; WEIGHT; GRASP;

D O I：

10.1145/1857893.1857900

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In this article, the data-driven haptic rendering approach presented in our earlier work is assessed. The approach relies on recordings from real objects from which a data-driven model is derived that captures the haptic properties of the object. We conducted two studies. In the first study, the Just Noticeable Difference (JND) for small forces, as encountered in our set-up, was determined. JNDs were obtained both for active and passive user interaction. A conservative threshold curve was derived that was then used to guide the model generation in the second study. The second study examined the achievable rendering fidelity for two objects with different stiffnesses. Subjects directly compared data-driven virtual feedback with the real objects. Results indicated that it is crucial to include dynamic material effects to achieve haptic feedback that cannot be distinguished from real objects. Results also showed that the fidelity is considerably decreased for stiffer objects due to limits of the display hardware.

引用

页数：23

共 30 条

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