Dynamic Pattern Recognition with Localised Surface Haptics and Apparent Motion.

WHC(2023)

Cited 0|Views3
No score
Abstract
Surface haptics is gaining increasing interest due to the potential of the added tangibility to standard touchscreen devices, with compliance effects, different localised multitouch feedback or textures. Dynamic illusions provide further possibilities, such as apparent motion, to indicate directions or other more complex motions. It could also help feel the contours of a shape, particularly useful in the accessibility field for digital graphics. The confinement of vibrotactile stimuli is a recent method that enables not only to provide both localised and multitouch feedback but also to put the whole hand on the display. Thus, it has the potential to combine different interaction styles, from static to dynamic interaction, with a single finger to the whole hand. Yet, so far, there has been little work on tactile interactions, and particularly pattern recognition with this method. Therefore, this paper presents a preliminary investigation into the feasibility of using confined vibrotactile stimuli to identify geometric shapes using apparent motion. The results show that participants could feel continuous movements and with training reached recognition rates overall of 72.1%.
More
Translated text
Key words
localised haptics,confinement of vibrotactile stimuli,apparent motion,surface haptics,shape recognition
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined