Practice System for Controlling Cutting Pressure for Paper-cutting

IEICE Trans. Inf. & Syst.

2020

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To improve the cutting skills of learners, we developed a method for improving the skill involved in creating paper cuttings based on a steering task in the field of human-computer interaction. TaWe made patterns using the white and black boundaries that make up a picture. The index of difficulty (ID) is a numerical value based on the width and distance of the steering law. First, we evaluated novice and expert pattern-cutters, and measured their moving time (MT), error rate, and compliance with the steering law, confirming that the MT and error rate are affected by pattern width and distance. Moreover, we quantified the skills of novices and experts using ID and MT based models. We then observed changes in the cutting skills of novices who practiced with various widths and evaluated the impact of the difficulty level on skill improvement. Patterns considered to be moderately difficult for novices led to a significant improvement in skills.

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Section: Introductionmentioning

confidence: 99%

Improvement in the Effectiveness of Cutting Skill Practice for Paper-Cutting Creations Based on the Steering Law

IEICE Trans. Inf. & Syst.

2020

Self Cite

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“…In this experiment, we present an experiment on the effectiveness of the Displaying Applied Pressure function with knife device [3] and stylus [2]. The purpose of this experiment is to compare the effectiveness of our system with that of conventional practice methods.…”

Section: Experiments Configurationmentioning

confidence: 99%

“…Users practice drawing based on the evaluation from the system, similar to the pencil practice method in the workshop. Beside, we have built a system that measures the cutting motion using a blade attached to the tip of a stylus [2], [3]. This system can measure the pressure and coordinates when the user cuts the paper.…”

Section: Introductionmentioning

confidence: 99%

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Improvement of Pressure Control Skill with Knife Device for Paper-Cutting

IEICE Trans. Inf. & Syst.

2020

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In this paper, we propose an interactive system for controlling the pressure while cutting paper with a knife. The purpose is to improve the cutting skill of novices learning the art of paper-cutting. Our system supports skill improvement for novices by measuring and evaluating their cutting pressure in real-time. In this study, we use a knife with a blade attached to a stylus with a pressure sensor, which can measure the pressure, coordinates, and cutting time. We have developed a similar support system using a stylus and a tablet device. This system allows the user to experience the pressure of experts through tracing. Paper-cutting is created by cutting paper with a knife. The practice system in this paper provides practice in an environment more akin to the production of paper cutting. In the first experiment, we observed differences in cutting ability by comparing cutting pressures between novices and experts. As a result, we confirmed that novices cut paper at a higher pressure than experts. We developed a practice system that guides the novices on controlling the pressure by providing information on the cutting pressure values of experts. This system shows the difference in pressure between novices and experts using a synchronous display of color and sound. Using these functions, novices learn to adjust their cutting pressure according to that of experts. Determining the right cutting pressure is a critical skill in the art of paper-cutting, and we aim to improve the same with our system. In the second experiment, we tested the effect of the practice system on the knife device. We compared the changes in cutting pressure with and without our system, the practice methods used in the workshop, and the previously developed stylus-based support system. As a result, we confirmed that practicing with the knife device had a better effect on the novice's skill in controlling cutting pressure than other practice methods.

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Improve Cutting Skill According to Skill and Difficulty Level

Human-Computer Interaction. Recognition and Interaction Technologies

2019