Micro-gesture interaction for multitasking environment

* * * 正常 * 0 * 假 * * EN-US* JA* X-NONE* * * * * * * * * * * * * * * * * * * * * * * * * ** * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *** * /* 样式定义 */*table.MsoNormalTable* {mso-style-name：“Table Normal”;* mso-tstyle-rowband-size：0;* mso-tstyle-colband-size：0;* mso-style-noshow：yes;* mso-style-priority：99;* mso-style-parent：“";* mso-padding-alt：0in 5.4pt 0in 5.4pt;* mso-para-margin：0in;* mso-para-margin-bottom：.0001pt;* mso-pagination：widow-orphan;* font-size：12.0pt;* font-family：Cambria;* mso-assistant-font-family：Cambria;* mso-hansi-theme-font：minor-latin;* mso-hansi-font-family：Cambria;* mso-hansi-theme-font：minor-latin;}* 截至2017年，超过66%的加拿大人拥有智能手机，16%拥有智能手表等可穿戴设备。这些设备可以告诉我们上班路上的日程安排，帮助导航到不熟悉的区域的集合点，甚至在我们不在办公室的时候也能给我们传递信息。在许多情况下，移动的设备已经成为我们日常生活中必不可少的。然而，他们的界面目前并不完全支持多任务环境中的安全交互。** 本提案的目标是开发交互技术，以支持多任务环境中丰富而微妙且安全的手势交互。在多任务环境中，在行走、锻炼或甚至在驾驶时的手势交互被期望提供安全的输入模态作为免视界面。大量的工作已经探索了手和手指手势交互作为输入方式，但许多问题仍然是开放的。在多任务环境中，无眼手势交互如何影响安全性？来自其他任务的认知负荷如何影响手势的有效性和准确性？在多任务环境中，系统可以做些什么来支持安全高效的裸眼交互？** 本提案支持的研究将调查多任务环境中人机交互与安全级别之间的直接联系，并提出和测试可在多任务环境中安全使用的交互技术。特别是，研究团队将探索触觉反馈和物理指导支持的无眼手指手势交互，重点是使用可穿戴个人设备，包括但不限于皮肤上的可穿戴传感器。从长远来看，这项研究将打开领域的直接安全评估的移动的计算设备在多任务环境。拟议的研究将通过探索以下领域来实现这些目标：**1）多任务环境中丰富而强大的手势输入识别 *2）触觉反馈和物理指导，以支持多任务环境中丰富的免视手势交互 *3）多任务环境中手势交互的安全性测量 ** 研究成果将使丰富的手势界面的设计能够在多任务环境中安全地与计算设备交互。

* * * *** * Normal* 0* * * * * false* false* false* * EN-US* JA* X-NONE* * * * * * * * * * * * * * * * * * * * * * * * * ** * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *** **** /* Style Definitions */*table.MsoNormalTable* {mso-style-name:"Table Normal";* mso-tstyle-rowband-size:0;* mso-tstyle-colband-size:0;* mso-style-noshow:yes;* mso-style-priority:99;* mso-style-parent:"";* mso-padding-alt:0in 5.4pt 0in 5.4pt;* mso-para-margin:0in;* mso-para-margin-bottom:.0001pt;* mso-pagination:widow-orphan;* font-size:12.0pt;* font-family:Cambria;* mso-ascii-font-family:Cambria;* mso-ascii-theme-font:minor-latin;* mso-hansi-font-family:Cambria;* mso-hansi-theme-font:minor-latin;}****As of 2017, more than 66% of Canadians own a smartphone and 16% own a wearable device such as a smartwatch. These devices can tell us our schedule on the way to work, help navigate to a meeting point in an unfamiliar area, and deliver us messages even when we are not in our office. Mobile devices have become essential for our daily life in many situations. Yet, their interface currently does not fully support safe interactions in multitasking environments. ******The goal of this proposal is to develop interaction techniques to support rich and subtle, yet safe gesture interaction for multitasking environments. In multitasking environments, gesture interaction while walking, exercising, or even while driving is expected to provide a safe input modality as an eyes-free interface. A significant body of work has already explored hand and finger gesture interactions as input modality but many questions remain open. How does eyes-free gesture interaction affect safety in a multitasking environment? How does cognitive load from other tasks affect the effectiveness and precision of the gesture? What can the system do to support safe and efficient eyes-free interaction in a multitasking environment? ******The research supported under this proposal will investigate direct links between the human computer interaction and the safety level in the multitasking environment, as well as propose and test interaction techniques that can be used safely in multitasking environments. In particular, the research team will explore tactile feedback and physical guidance supported eyes-free finger gesture interaction with focus on using wearable personal devices including but not limited to on-skin wearable sensors. In the long term, this research will open the area of direct safety assessment of mobile computation devices in multitasking environments. The proposed research will address these objectives by exploring the following areas:******1) Rich and robust gesture input recognition for multitasking environments***2) Tactile feedback and physical guidance to support rich eyes free gesture interactions in multitasking environments***3) Safety measurement for gesture interaction in multitasking environments******The research output will enable the design of rich gestural interface to interact with computing devices safely in multitasking environments.**