Bach Benjamin

Carpendale S. T.

Chakraborty Arpan

Cordeil M.

Dourish Paul

Elmqvist Niklas

Fels Sidney

Follmer Sean

Heer Jeffrey

Kraak M. J.

LaViola Joseph J

Lischke Lars

MATLAB.

Nakagaki Ken

Sousa Maurício

Yasutake Taizo

English

We present Embodied Axes, a controller which supports selection operations for 3D imagery and data visualisations in Augmented Reality. The device is an embodied representation of a 3D data space – each of its three orthogonal arms corresponds to a data axis or domain specific frame of reference. Each axis is composed of a pair of tangible, actuated range sliders for precise data selection, and rotary encoding knobs for additional parameter tuning or menu navigation. The motor actuated sliders support alignment to positions of significant values within the data, or coordination with other input: e.g., mid-air gestures in the data space, touch gestures on the surface below the data, or another Embodied Axes device supporting multi-user scenarios. We conducted expert enquiries in medical imaging which provided formative feedback on domain tasks and refinements to the design. Additionally, a controlled user study was performed and found that the Embodied Axes was overall more accurate than conventional tracked controllers for selection tasks

Cordeil, Maxime

Bach, Benjamin

Cunningham, Andrew A.

Montoya, Bastian

Smith, Ross T.

Thomas, Bruce H.

Dwyer, Tim

Edinburgh Research Explorer

Embodied Axes: Tangible, Actuated Interaction for 3D Augmented Reality Data Spaces

Crossref

https://www.pure.ed.ac.uk/ws/files/130593803/cordeil2020embodied.pdf

Embodied Axes: Tangible, Actuated Interaction for 3D Augmented Reality Data Spaces

Abstract

Similar works

Full text

Available Versions

Edinburgh Research Explorer

Crossref