Search

In this paper, we present a tactile rendering algorithm applied to an electrostatic tactile display that adjusts three parameters of the driving signal (amplitude, frequency, and waveform) to modulate the tangential friction force between a user's finger and a touch screen. The aim of this work is to find an effective electrostatic tactile rendering algorithm to improve the tactile perception of image textures. The key idea is to jointly adjust the three parameters of the driving signal to increase the perceptual difference interval between image textures. We first explore the tactile representation characteristics of amplitude, frequency and waveform through subjective perception experiments. Based on these characteristics, we establish tactile mapping models between the three parameters of the driving signal and image textures. Finally, we use subjective evaluation experiments to verify the effectiveness of the proposed rendering method. The results show that the proposed rendering method can achieve a better tactile experience compared with rendering methods that realize tactile representation by only varying amplitude. [ABSTRACT FROM AUTHOR]

Electrostatic tactile feedback has an important role in improving touchscreen operations and user experience. In this paper, panning performance under different forces and different waveforms were explored using subjective and objective experiments. The effects of electrostatic tactile feedback under one linear force and three non-linear force profiles with the fixed waveform were studied. The results indicated that panning accuracy, efficiency and user experience under exponential force was superior to those under linear, quadratic or logarithmic forces. Second, the effects of four different waveforms under exponential force were studied. Results indicated that panning performance was better with square wave, compared to those with sinusoidal, triangular or sawtooth waves. The relationship between panning time and index of panning difficulties was also explored and found to be in agreement with the Steering law and Meyer's law, with correlations of 0.9395 and 0.9397, respectively. The results suggest ways for designing touchscreens with tactile feedback that is useful in both research and end-user communities. [ABSTRACT FROM AUTHOR]