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Conference Papers Year : 2021

Exploring Smartphone-enabled Text Selection in AR-HMD

Rajkumar Darbar
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Arnaud Prouzeau
Joan Odicio-Vilchez
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Thibault Lainé
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Martin Hachet


Text editing is important and at the core of most complex tasks, likewriting an email or browsing the web. Efficient and sophisticatedtechniques exist on desktops and touch devices, but are still under-explored for Augmented Reality Head Mounted Display (AR-HMD).Performing text selection, a necessary step before text editing, in ARdisplay commonly uses techniques such as hand-tracking, voice com-mands, eye/head-gaze, which are cumbersome and lack precision.In this paper, we explore the use of a smartphone as an input deviceto support text selection in AR-HMD because of its availability,familiarity, and social acceptability. We propose four eyes-free textselection techniques, all using a smartphone — continuous touch,discrete touch, spatial movement, and raycasting. We compare themin a user study where users have to select text at various granularitylevels. Our results suggest that continuous touch, in which we usedthe smartphone as a trackpad, outperforms the other three techniquesin terms of task completion time, accuracy, and user preference.
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Dates and versions

hal-03251780 , version 1 (07-06-2021)


  • HAL Id : hal-03251780 , version 1


Rajkumar Darbar, Arnaud Prouzeau, Joan Odicio-Vilchez, Thibault Lainé, Martin Hachet. Exploring Smartphone-enabled Text Selection in AR-HMD. GI2021 - Graphics Interface 2021, May 2021, Vrtual, Canada. ⟨hal-03251780⟩
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