PrinType: Text Entry via Fingerprint Recognition

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Pub Date : 2022-01-01 DOI:10.1145/3569491

Zongjian Liu, Jieling He, Jianjiang Feng, Jie Zhou

引用次数: 0

Abstract

A 12-person user study was conducted to evaluate the performance of different strategies. Our user evaluation showed that participants achieved an average of 29.56, 32.38, and 34.22 WPM with 0.79%, 0.20%, and 0.21% not corrected error rate in the three strategies. In addition, we provided a detailed analysis of various micro metrics to further understand user performance and technical characteristics. Overall, PrinType is favored by users for its usability, efficiency, and novelty.

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PrinType:通过指纹识别的文本输入

我们进行了一项12人的用户研究，以评估不同策略的表现。我们的用户评价显示，参与者的平均得分为29.56、32.38和34.22 WPM，三种策略的未纠正错误率分别为0.79%、0.20%和0.21%。此外，我们还提供了各种微观指标的详细分析，以进一步了解用户性能和技术特征。总的来说，PrinType因其可用性、效率和新颖性而受到用户的青睐。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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