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Twiddler的点击绩效评估 被引量：3

Evaluation of Twiddler's tapping performance
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摘要 Twiddler是可穿戴计算机最常用的输入设备,其点击绩效直接影响其可操作性和可用性。根据费兹原理,参考Paul Fitts所采用的反复敲击试验,建立了点击绩效测试系统。在相同的测试条件下,对Twiddler和鼠标往复点击绩效进行了测试,在大量实验数据的分析基础上,结合赤池信息准则,得到了最优的Twiddler和鼠标点击绩效模型。通过将Twiddler与鼠标的点击绩效模型对比分析,反映出Twiddler的点击绩效比鼠标的点击绩效低,操控比较困难。在可穿戴计算机的人机界面设计时,为了增强Twiddler的可控性,应使Twiddler点击的难度系数小于4。 The twiddler was a most commonly used input device for wearable computer, its tapping performance directly affected the controllability and usability of wearable computer. According to Fitts＇ law and reciprocal tapping＇ experiment which Paul Fitts used, the test system which used to test the tapping performance was established. The tapping performances of the Twiddler and the mouse were tested under the same test condition, and large numbers of tested data were obtained and analyzed. According to AIC （Akaike＇ s information criterion） , a criterion for statistical model selection, the most superior tapping models of the Twiddler and the mouse were set up. Contrasting to the mouse, the tapping performance and the controllability which the Twiddler owns were lower. When us design the GUI （graphical user interface） of the wearable computer, in order to enhance the controllability of the Twiddler, the index difficulty of the Twiddler＇ s tap should be smaller than 4.
作者 黄志奇 陈东义 王厚军
机构地区 电子科技大学移动计算中心
出处 《计算机应用研究》 CSCD 北大核心 2009年第1期221-223,共3页 Application Research of Computers
基金 国家"863"计划资助项目(2006AA01Z113) 武器装备预研基金项目(9140A16060406DZ02)
关键词 Twiddler 费兹原理 点击绩效模型 赤池信息准则 Twiddler Fitts＇ law tapping performance model AIC
分类号 TP20 [自动化与计算机技术—检测技术与自动化装置]
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参考文献10

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同被引文献29

  • 1Kim K, Proctor R W, Salvendy G.Menu design in cell phones: Use of 3D menus[C]//Proceedings of the International Conference on Human-Computer Interaction, HCII 2009.San Diego, USA:Springer Press,2009:48-57.
  • 2Lee J, Paik D.An improved model to evaluate menu hierarchies for mobile phones[C]//Proceedings of the International Conference on Human-Computer Interaction,HCII 2007.Beijing, China:Springer Press,2007:401-407.
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  • 6Grossman T, Balakrishnan R.Pointing at trivariate targets in 3D environments[C]//Proceedings of the ACM Conference on Human Factors in Computing Systems(CHI).Vienna:ACM Press, 2004: 447-454.
  • 7Cockbum A, Greenberg S.A predictive model of menu performance[C]//Proceedings of the ACM Conference on Human Fac tors in Computing Systems(CHI).San Jose:ACM Press,2007: 627-636.
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  • 9Sears A, Jacko J A,Chu J,et al.The role of visual search in the design of effective soft keyboards[J].Behavior and Information Technology,2001,20: 159-156.
  • 10Seow S C.Information theoretic models of HCI:A comparison of the Hick-hyman law and Fitts' law[J].Human-Computer Interaction, 2005,20 : 315-352.

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计算机应用研究
2009年 第1期

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