In this paper, we present the design of a large number (72) of tactile stimuli for the confirmation feedback of virtual button presses on the mobile device touchscreen. Two industry standard variable-reluctance actuators (enhanced voicecoil actuators with added mass for stronger output) were used in the study. The design parameters of an input were amplitude, duration, carrier signal, envelope function, and actuator. Eighteen participants evaluated the modeled patterns with the criteria of similarity to physical buttons and user preference. An adjective rating task was also accompanied to assess the subjective quality of the designed tactile effects. Experimental results unveiled several important guidelines for designing realistic and favorable button-click tactile feedback. The findings of this paper have implications for improving the usability of user interface components displayed on a touchscreen by means of haptic feedback.

Over the past decade, new models of hybrid electric vehicles have been released worldwide, and the fuel efficiency of said vehicles has increased by more than 5%. To further improve fuel efficiency, vehicle manufacturers have made efforts to design modules (e.g., engines, motors, transmissions, and batteries) with the highest efficiency possible. To do so, the fuel economy test process, which is conducted primarily using a chassis dynamometer, must produce reliable and accurate results. To accurately analyze the fuel efficiency improvement rate of each module, it is necessary to reduce the test deviation. When the test conducted by human drivers, the test deviation is somewhat large. When the test is conducted by a physical robot driver, the test deviation is improved; however, these robots are expensive and time-consuming to install and take up considerable amount of space in the driver’s seat. To compensate for these shortcomings, we propose a simple, structured robot system that manipulates electrical signals without using mechanical link structures. The controller of this robot driver uses the widely used PI controller. Although PI controllers are simple and perform well, since the dynamics of each test vehicle is different (e.g., acceleration response), the PI controller has a disadvantage in that it cannot determine the optimal PI gain value for each vehicles. In this work, the fuzzy control theorem is applied to overcome this disadvantage. By using fuzzy control to deduce the optimal value of the PI gain, we confirmed that our proposed system is available to conduct tests on vehicles with different dynamics.

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Recently, design semiosis stands out in been developing industrial goods. It is that form of product has meaning. Is changing to company's image with concept of CIPD (Corporate Identity through Product Design). Now, it is that consumer's awareness changes to side that the much wealths prefer product that have better design than product that have function. Accordingly, each company is changing to development of design putting first in product development of function putting first. Is changing by entertainment robot and so on in industrial robot for production as well as robot development purpose. Therefore, need design method of robot based on design to developed robot forward. For this, must decide basis Design from development step of robot. And need correct synthesize use subject and purpose. In this PAPER, recognize about effect of when design compares applied case and other that is not so and applied design to robot. Establish target to apply in design of small size mobile robot and consider above thing.