Abstract
Touchscreen typing on tablet has become popular in modern digital routine, calling for investigation of more expressive input method on touchscreen keyboard. In this paper, we propose a novel approach to augment touchscreen typing experience by integrating key-press finger posture recognition to extend the input space of a standard touchscreen keyboard. Our system distinguish between finger tip contact(FP) and finger pad contact(FP) through acoustic sensing, enabling seamless switching between normal and functional input. We evaluate the performance of our system through offline and online experiments, where we show that our system achieves an offline key-wise recognition accuracy of up to 96.3%. The online experiment shows a real-time recognition accuracy of 94% and 88% in quiet and noisy environments, respectively. We further conducted a usability study on text formatting task, which shows that our method significantly outperform the baseline method in terms of input speed and functionality. © 2025 Copyright held by the owner/author(s).
Original language | English |
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Title of host publication | CHI EA '25 |
Subtitle of host publication | Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems |
Editors | Naomi Yamashita, Vanessa Evers, Koji Yatani, Xianghua (Sharon) Ding |
Publisher | Association for Computing Machinery |
ISBN (Print) | 979-8-4007-1395-8 |
DOIs | |
Publication status | Published - Apr 2025 |
Event | 2025 ACM CHI Conference on Human Factors in Computing Systems (CHI 2025): IkiCHI - PACIFICO Yokohama, Yokohama, Japan Duration: 26 Apr 2025 → 1 May 2025 https://chi2025.acm.org/ |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | 2025 ACM CHI Conference on Human Factors in Computing Systems (CHI 2025) |
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Abbreviated title | CHI'25 |
Country/Territory | Japan |
City | Yokohama |
Period | 26/04/25 → 1/05/25 |
Internet address |
Funding
This research was partially supported by the National Natural Science Foundation of China, Young Scientists Fund (Project No. 62402301) and the STU Scientific Research Initiation Grant (SRIG, Project No. NTF23024).
Research Keywords
- Acoustic Sensing
- Text Input
- Touchscreen Interaction