Analysis of Locally Coupled 3D Manipulation Mappings Based on Mobile Device Motion - Inria - Institut national de recherche en sciences et technologies du numérique
Journal Articles Presence: Teleoperators and Virtual Environments Year : 2017

Analysis of Locally Coupled 3D Manipulation Mappings Based on Mobile Device Motion

Abstract

We examine a class of techniques for 3D object manipulation on mobile devices, in which the device's physical motion is applied to 3D objects displayed on the device itself. This "local coupling" between input and display creates specific challenges compared to manipulation techniques designed for monitor-based or immersive virtual environments. Our work focuses specifically on the mapping between device motion and object motion. We review existing manipulation techniques and introduce a formal description of the main mappings under a common notation. Based on this notation, we analyze these mappings and their properties in order to answer crucial usability questions. We first investigate how the 3D objects should move on the screen, since the screen also moves with the mobile device during manipulation. We then investigate the effects of a limited range of manipulation and present a number of solutions to overcome this constraint. This work provides a theoretical framework to better understand the properties of locally-coupled 3D manipulation mappings based on mobile device motion.

Keywords

Fichier principal
Vignette du fichier
Issartel_2018_ALC.pdf (1.16 Mo) Télécharger le fichier
Vignette du fichier
Issartel_2018_ALC.jpg (10.62 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Format Figure, Image
Origin Files produced by the author(s)
Loading...

Dates and versions

hal-01581185 , version 1 (04-09-2017)

Licence

Copyright

Identifiers

Cite

Paul Issartel, Florimond Guéniat, Tobias Isenberg, Mehdi Ammi. Analysis of Locally Coupled 3D Manipulation Mappings Based on Mobile Device Motion. Presence: Teleoperators and Virtual Environments, 2017, 26 (1), pp.66-95. ⟨10.1162/PRESa00287⟩. ⟨hal-01581185⟩
257 View
180 Download

Altmetric

Share

More