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Existing text selection techniques on touchscreen focus on improving thecontrol for moving the carets. Coarse-grained text selection on word and phraselevels has not received much support beyond word-snapping and entityrecognition. We introduce 1D-Touch, a novel text selection method thatcomplements the carets-based sub-word selection by facilitating the selectionof semantic units of words and above. This method employs a simple verticalslide gesture to expand and contract a selection area from a word. Theexpansion can be by words or by semantic chunks ranging from sub-phrases tosentences. This technique shifts the concept of text selection, from defining arange by locating the first and last words, towards a dynamic process ofexpanding and contracting a textual semantic entity. To understand the effectsof our approach, we prototyped and tested two variants: WordTouch, which offersa straightforward word-by-word expansion, and ChunkTouch, which leverages NLPto chunk text into syntactic units, allowing the selection to grow bysemantically meaningful units in response to the sliding gesture. Ourevaluation, focused on the coarse-grained selection tasks handled by 1D-Touch,shows a 20% improvement over the default word-snapping selection method onAndroid.

1D-Touch: NLP-Assisted Coarse Text Selection via a Semi-Direct Gesture