IMPReSS:改进的多点触控逐步优化选择策略

Elaheh Samimi, Robert J. Teather
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引用次数: 1

摘要

我们开发了一种使用智能手机作为控制器的VR对象选择的渐进改进技术。我们的技术,IMPReSS,结合了传统的渐进式细化选择和基于菜单的标记CountMarks。CountMarks使用多指触摸手势来“短路”多项标记菜单,允许用户通过在屏幕上按特定数量的手指来指示子菜单中的特定项目,同时在所需菜单的方向上滑动。IMPReSS使用这个想法来减少在逐步优化选择过程中必要的优化数量。我们将我们的技术与SQUAD和多点触控技术在搜索时间、选择时间和准确性方面进行了比较。结果显示,IMPReSS是这些技术中最快、最准确的,这可能是由于智能手机屏幕的触觉反馈和更少的改进步骤的结合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IMPReSS: Improved Multi-Touch Progressive Refinement Selection Strategy
We developed a progressive refinement technique for VR object selection using a smartphone as a controller. Our technique, IMPReSS, combines conventional progressive refinement selection with the marking menu-based CountMarks. CountMarks uses multi-finger touch gestures to “short-circuit” multi-item marking menus, allowing users to indicate a specific item in a sub-menu by pressing a specific number of fingers on the screen while swiping in the direction of the desired menu. IMPReSS uses this idea to reduce the number of refinements necessary during progressive refinement selection. We compared our technique with SQUAD and a multi-touch technique in terms of search time, selection time, and accuracy. The results showed that IMPReSS was both the fastest and most accurate of the techniques, likely due to a combination of tactile feedback from the smartphone screen and the advantage of fewer refinement steps.
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