1. Exploring Smartphone-enabled Text Selection in AR-HMD
- Author
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Darbar, Rajkumar, Prouzeau, Arnaud, Odicio-Vilchez, Joan, Lainé, Thibault, Hachet, Martin, Popular interaction with 3d content (Potioc), Laboratoire Bordelais de Recherche en Informatique (LaBRI), Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Université de Bordeaux (UB)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Asobo Studio, Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)-Inria Bordeaux - Sud-Ouest, and Hachet, Martin
- Subjects
000 computer science ,Human-centered computing—Human computerinteraction (HCI)—Interaction paradigms—Mixed / augmented reality ,Human-centered computing—Human computer interaction(HCI)—Interaction paradigms—Graphical user interfaces ,[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC] ,[INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC] - Abstract
International audience; 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.
- Published
- 2021