Paper Info
Title
One-thumb Text Acquisition on Force-assisted Miniature Interfaces for Mobile Headsets
Abstract
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 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> 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.
Year
DOI
Venue
2020
10.1109/PerCom45495.2020.9127378
2020 IEEE International Conference on Pervasive Computing and Communications (PerCom)
DocType
ISSN
ISBN
Conference
2474-2503
978-1-7281-4657-7
Citations 
PageRank 
References 
3
0.37
0
Authors
6
Name
Order
Citations
PageRank
Lik Hang Lee1117.54
Yiming ZHU230.37
Yui-Pan Yau341.73
Tristan Braud42712.84
Xiang Su515726.32
Pan Hui64577309.30