The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
지속적인 펜 압력을 사용하여 펜 기반 사용자 인터페이스의 메뉴와 같은 다중 상태 위젯을 작동할 수 있습니다. 펜 압력 공간이 분할되는 레벨 수에 따라 다중 상태 위젯의 상태 수가 결정됩니다. 필압 공간의 최적 분할 수를 늘리고 필압 사용성을 높이기 위해 개인의 필압 사용 프로파일에 따라 필압 공간을 분할하는 새로운 이산화 방법을 제안합니다. 여기서는 균일한 레벨 너비의 시각적 피드백이 있거나 없는 개인/집계 펜 압력 사용 프로파일에 따른 이산화와 전통적인 고른 이산화 방법이라는 네 가지 방법 변형을 제시합니다. 펜 압력 사용 프로파일을 조사하고 이들 방법의 성능을 비교 평가하기 위해 각각 두 가지 실험을 수행했습니다. 결과는 피험자들이 개인 프로필에 따라 필압 공간을 균일한 수준 너비(PU)의 시각적 피드백으로 분할했을 때 가장 빠르고 오류가 가장 적었고, 필압 공간을 균등하게 분할했을 때 가장 나쁜 수행을 했다는 것을 나타냅니다. PU 방식을 사용하면 필압 공간의 최적 분할 수는 8개였습니다. 균일한 레벨 너비의 시각적 피드백은 고르지 않은 이산화 성능을 향상시켰습니다. 본 연구의 결과는 필압 기반 사용자 인터페이스 디자인에서 인간 중심의 필압 사용에 대한 시사점을 가지고 있습니다.
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Yizhong XIN, Xiangshi REN, "An Investigation of Adaptive Pen Pressure Discretization Method Based on Personal Pen Pressure Use Profile" in IEICE TRANSACTIONS on Information,
vol. E93-D, no. 5, pp. 1205-1213, May 2010, doi: 10.1587/transinf.E93.D.1205.
Abstract: Continuous pen pressure can be used to operate multi-state widgets such as menus in pen based user interfaces. The number of levels into which the pen pressure space is divided determines the number of states in the multi-state widgets. To increase the optimal number of divisions of the pen pressure space and achieve greater pen pressure usability, we propose a new discretization method which divides the pen pressure space according to a personal pen pressure use profile. We present here four variations of the method: discretization according to personal/aggregation pen pressure use profile with/without visual feedback of uniform level widths and the traditional even discretization method. Two experiments were conducted respectively to investigate pen pressure use profile and to comparatively evaluate the performance of these methods. Results indicate that the subjects performed fastest and with the fewest errors when the pen pressure space was divided according to personal profile with visual feedback of uniform level widths (PU) and performed worst when the pen pressure space was divided evenly. With PU method, the optimal number of divisions of the pen pressure space was 8. Visual feedback of uniform level widths enhanced performance of uneven discretization. The findings of this study have implications for human-oriented pen pressure use in pen pressure based user interface designs.
URL: https://global.ieice.org/en_transactions/information/10.1587/transinf.E93.D.1205/_p
부
@ARTICLE{e93-d_5_1205,
author={Yizhong XIN, Xiangshi REN, },
journal={IEICE TRANSACTIONS on Information},
title={An Investigation of Adaptive Pen Pressure Discretization Method Based on Personal Pen Pressure Use Profile},
year={2010},
volume={E93-D},
number={5},
pages={1205-1213},
abstract={Continuous pen pressure can be used to operate multi-state widgets such as menus in pen based user interfaces. The number of levels into which the pen pressure space is divided determines the number of states in the multi-state widgets. To increase the optimal number of divisions of the pen pressure space and achieve greater pen pressure usability, we propose a new discretization method which divides the pen pressure space according to a personal pen pressure use profile. We present here four variations of the method: discretization according to personal/aggregation pen pressure use profile with/without visual feedback of uniform level widths and the traditional even discretization method. Two experiments were conducted respectively to investigate pen pressure use profile and to comparatively evaluate the performance of these methods. Results indicate that the subjects performed fastest and with the fewest errors when the pen pressure space was divided according to personal profile with visual feedback of uniform level widths (PU) and performed worst when the pen pressure space was divided evenly. With PU method, the optimal number of divisions of the pen pressure space was 8. Visual feedback of uniform level widths enhanced performance of uneven discretization. The findings of this study have implications for human-oriented pen pressure use in pen pressure based user interface designs.},
keywords={},
doi={10.1587/transinf.E93.D.1205},
ISSN={1745-1361},
month={May},}
부
TY - JOUR
TI - An Investigation of Adaptive Pen Pressure Discretization Method Based on Personal Pen Pressure Use Profile
T2 - IEICE TRANSACTIONS on Information
SP - 1205
EP - 1213
AU - Yizhong XIN
AU - Xiangshi REN
PY - 2010
DO - 10.1587/transinf.E93.D.1205
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E93-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2010
AB - Continuous pen pressure can be used to operate multi-state widgets such as menus in pen based user interfaces. The number of levels into which the pen pressure space is divided determines the number of states in the multi-state widgets. To increase the optimal number of divisions of the pen pressure space and achieve greater pen pressure usability, we propose a new discretization method which divides the pen pressure space according to a personal pen pressure use profile. We present here four variations of the method: discretization according to personal/aggregation pen pressure use profile with/without visual feedback of uniform level widths and the traditional even discretization method. Two experiments were conducted respectively to investigate pen pressure use profile and to comparatively evaluate the performance of these methods. Results indicate that the subjects performed fastest and with the fewest errors when the pen pressure space was divided according to personal profile with visual feedback of uniform level widths (PU) and performed worst when the pen pressure space was divided evenly. With PU method, the optimal number of divisions of the pen pressure space was 8. Visual feedback of uniform level widths enhanced performance of uneven discretization. The findings of this study have implications for human-oriented pen pressure use in pen pressure based user interface designs.
ER -