Marionette: a Multi-Finger Tilt Feedback Device for Curvatures and Haptic Images Perception

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Title: Marionette: a Multi-Finger Tilt Feedback Device for Curvatures and Haptic Images Perception
Authors: Krusteva, Diana
Sahoo, Deepak
Asier, Marzo
Subramanian, Sriram
Coyle, David
Permanent link: http://hdl.handle.net/10197/6609
Date: 23-Apr-2015
Abstract: Marionette is a haptic device designed to explore touch perception limits between real and device induced shapes. Its novelty resides in the support for 2D exploration over a flat surface and multi-finger capabilities. Marionette is able to apply inclination to four fingers with two degrees of freedom while the user moves the device as if it were a mouse. The device is aimed at enabling a new set of haptic user studies. Preliminary results suggest that the limit of curvature perception in 2D curves is mainly determined by the inclination information while touching with both one and four fingers. Additionally, Marionette supports haptic images such as maps, time changing functions and haptically enhanced telepresence.
Type of material: Conference Publication
Publisher: ACM
Copyright (published version): 2015 the Authors
Keywords: Haptic perceptionTouchCurvature discriminationMulti-fringe
DOI: 10.1145/2702613.2732729
Language: en
Status of Item: Peer reviewed
Is part of: CHI EA '15 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
Conference Details: 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, South Korea, 18-23 April, 2015
Appears in Collections:Computer Science Research Collection

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