"Robust Text Input for Smartwatches: Compensating for Imprecise Tapping" by Jianwei Lai, Lina Zhou et al.
 

Document Type

Article

Publication Title

International Journal of Human-Computer Interaction

Publication Date

2025

Keywords

smartwatch, keyboard, text-entry, fat finger, usability, security, screen size

Abstract

Entering text on a smartwatch is challenging due to the difficulty of tapping tiny keys. This study introduces a novel keyboard, Tap’nSwipe, to address the challenge. The keyboard features nine areas, each containing up to four characters. To enter a character, users swipe in a specific direction within the area containing the character, freeing them from precisely tapping on the target key. In addition, Tap’nSwipe leverages word predictions to enter words by allowing users to tap anywhere in the areas containing the target characters. The results of a user experiment show that Tap’nSwipe improves text entry accuracy and reduces error correction efforts when entering random character strings on a small smartwatch screen, with a marginal decrease in tying speed compared to QWERTY. Participants rated Tap’nSwipe higher than QWERTY in perceived character clarity, interaction precision, typing accuracy, typing efficiency, and ease of use. Participants also expressed strong interest in adopting Tap’nSwipe.

Funding Source

This work was supported by the NSF Foundation [Award No. 1917537], and Grants from the School of IT at Illinois State University. This article was published Open Access thanks to a transformative agreement between Milner Library and Taylor & Francis.

Comments

First published in International Journal of Human-Computer Interaction (2025): https://doi.org/10.1080/10447318.2025.2490709

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

DOI

10.1080/10447318.2025.2490709

Plum Print visual indicator of research metrics
PlumX Metrics
  • Usage
    • Downloads: 30
    • Abstract Views: 3
  • Captures
    • Readers: 1
  • Mentions
    • News Mentions: 1
see details

Share

COinS