University of Oulu

L. LEE, Y. ZHU, Y. YAU, T. BRAUD, X. SU and P. Hui, "One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets," 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom), Austin, TX, USA, 2020, pp. 1-10, doi: 10.1109/PerCom45495.2020.9127378

One-thumb text acquisition on force-assisted miniature interfaces for mobile headsets

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Author: Lee, Lik-Hang1; Zhu, Yiming2; Yau, Yui-Pan2;
Organizations: 1Center for Ubiquitous Computing, University of Oulu, Oulu, Finland
2Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong
3Department of Computer Science, University of Helsinki, Helsinki, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 3 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-07-01


Touchscreen interfaces are shrinking and even dis-appearing on mobile headsets. The existing approaches for text acquisition on mobile headsets, for instance, speech commands and hand gestures, are cumbersome and coarse. In this paper, we show the feasibility of interaction on a miniature area as small as 12 * 13 mm 2 that offers an input alternative on small form-factor devices such as smartwatches, smart rings, or the spectacles frames of mobile headsets. To this end, we propose and implement two interaction approaches, namely FRS and DupleFR, for acquiring textual contents on mobile headsets. Both approaches leverage force-assisted interaction on a miniature-size interface. They enable the user to acquire textual content with various granularities such as characters, words, sentences, paragraphs, and the entire text. After 8 sessions, 22 participants with FRS and DupleFR achieve the peak performance of respectively 11.455 and 10.611 seconds per textual acquisition with accuracy rates of 91.41% and 94.95%. Although FRS and DupleFR as indirect manipulations are disadvantageous, they are at least 37.06% faster than the commercial standards designated to direct manipulation on touchscreens.

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Series: IEEE International Conference on Pervasive Computing and Communications
ISSN: 2474-2503
ISSN-E: 2474-249X
ISSN-L: 2474-249X
ISBN: 978-1-7281-4657-7
ISBN Print: 978-1-7281-4658-4
Pages: 1 - 10
DOI: 10.1109/PerCom45495.2020.9127378
Host publication: 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom)
Conference: IEEE International Conference on Pervasive Computing and Communications
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This research has been supported in part by the Academy of Finland 6Genesis Flagship (grant 318927)/ 5GEAR & project 16214817 from the Research Grants Council of Hong Kong.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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