Comparison of Task Performance and User Satisfaction Between Holographic and Standard QWERTY Keyboard

Talha Hassan, Tauheed Khan Mohd
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Abstract

Advancements in Internet of things (IoT) and sensor technologies along with deep learning techniques have enabled the design of several types of virtual keyboards including holographic keyboards. However, there is a need to better understand how its performance compares against the standard QWERTY keyboard in order to identify specific aspects of performance that are better as well as others than need to be further optimized. We conducted an initial two-part study. The first part was a controlled experimental study with 12 participants to see how a holographic keyboard compares with a QWERTY keyboard as a text entry tool on various metrics including task success, speed, and user satisfaction. The second part consisted of a short semi-structured interview with the participants, specifically based on the observations made by the researchers during the first part. Our initial findings indicate that although there is a speed advantage when users initially use standard QWERTY keyboard, there is a learning effect on speed with holographic keyboard and participants improve over time. Participants also indicated they would learn the holographic Keyboard quickly on a system usability sub-scale. This is still a work in progress and we aim to improve the design of the holographic keyboard based on the feedback from participants, and conduct a final summative evaluation.
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全息和标准QWERTY键盘的任务性能和用户满意度比较
物联网(IoT)和传感器技术的进步以及深度学习技术使包括全息键盘在内的几种虚拟键盘的设计成为可能。但是,有必要更好地了解其性能与标准QWERTY键盘的比较,以便确定性能的特定方面,哪些方面更好,哪些方面不需要进一步优化。我们进行了初步的两部分研究。第一部分是一项有12名参与者参与的对照实验研究,以观察全息键盘与QWERTY键盘作为文本输入工具在任务成功、速度和用户满意度等各种指标上的比较。第二部分包括对参与者进行简短的半结构化访谈,具体基于研究人员在第一部分中所做的观察。我们的初步研究结果表明,虽然用户最初使用标准QWERTY键盘时存在速度优势,但使用全息键盘会对速度产生学习效应,并且参与者会随着时间的推移而提高速度。参与者还表示,他们将在系统可用性量表上快速学习全息键盘。这项工作仍在进行中,我们的目标是根据参与者的反馈对全息键盘的设计进行改进,并进行最终的总结性评估。
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