Text selection is a common and essential activity during text interaction in all interactive systems. As Augmented Reality (AR) head-mounted displays (HMDs) become more widespread, they will need to provide effective interaction techniques for text selection that ensure users can complete a range of text manipulation tasks (e.g., to highlight, copy, and paste text, send instant messages, and browse the web). As a relatively new platform, text selection in AR is largely unexplored and the suitability of interaction techniques supported by current AR HMDs for text selection tasks is unclear. This research aims to fill this gap and reports on an experiment with 12 participants, which compares the performance and usability (user experience and workload) of four possible techniques (Hand+Pinch, Hand+Dwell, Head+Pinch, and Head+Dwell). Our results suggest that Head+Dwell should be the default selection technique, as it is relatively fast, has the lowest error rate and workload, and has the highest-rated user experience and social acceptance.
翻译:在所有互动系统中,文本选择都是文本互动过程中的一种常见和必不可少的活动。随着增强现实(AR)头部挂载显示(HMD)的日益普及,它们需要为文本选择提供有效的互动技术,以确保用户能够完成一系列文本操作任务(例如,突出显示、复制和粘贴文本、发送即时信息、浏览网络)。由于一个相对较新的平台,AR文本选择基本上尚未探索,当前AR HMD支持的互动技术在文本选择任务中是否适合,因此不清楚。这项研究旨在填补这一空白,并报告与12名参与者的实验情况,该实验比较了四种可能技术(Hand+Pinch、Hand+Dwell、head+Pinch和head+Dwell)的性能和可用性(用户经验和工作量) 。我们的结果表明,Head+Dwell应该是默认选择技术,因为其速度相对较快,其错误率和工作量最低,而且用户经验和社会接受度最高。