Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces

Maxime Cordeil; Benjamin  Bach; Andrew Cunningham; Bastian  Montoya; Ross T. Smith; Bruce Hunter Thomas; Tim Dwyer

doi:10.1145/3313831.3376613

Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces

Maxime Cordeil, Benjamin Bach, Andrew Cunningham, Bastian Montoya, Ross T. Smith, Bruce Hunter Thomas, Tim Dwyer

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

48 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
Editors	Joanna McGrenere, Andy Cockburn
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Number of pages	12
ISBN (Electronic)	9781450367080
DOIs	https://doi.org/10.1145/3313831.3376613
Publication status	Published - 2020
Event	International Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America Duration: 25 Apr 2020 → 30 Apr 2020 Conference number: 38th https://chi2020.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Conference

Conference	International Conference on Human Factors in Computing Systems 2020
Abbreviated title	CHI 2020
Country/Territory	United States of America
City	Honolulu
Period	25/04/20 → 30/04/20
Internet address	https://chi2020.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings)

Keywords

3d visualisation
actuation
augmented reality
device
tangible interaction

Access to Document

10.1145/3313831.3376613

Cite this

Cordeil, M., Bach, B., Cunningham, A., Montoya, B., Smith, R. T., Thomas, B. H., & Dwyer, T. (2020). Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces. In J. McGrenere, & A. Cockburn (Eds.), Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems Article 486 Association for Computing Machinery (ACM). https://doi.org/10.1145/3313831.3376613

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title = "Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces",

abstract = "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, actuatedrange 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 thesurface 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, acontrolled user study was performed and found that the Embodied Axes was overall more accurate than conventional tracked controllers for selection tasks.",

keywords = "3d visualisation, actuation, augmented reality, device, tangible interaction",

author = "Maxime Cordeil and Benjamin Bach and Andrew Cunningham and Bastian Montoya and Smith, {Ross T.} and Thomas, {Bruce Hunter} and Tim Dwyer",

year = "2020",

doi = "10.1145/3313831.3376613",

language = "English",

editor = "McGrenere, {Joanna } and Cockburn, {Andy }",

booktitle = "Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "International Conference on Human Factors in Computing Systems 2020, CHI 2020 ; Conference date: 25-04-2020 Through 30-04-2020",

url = "https://chi2020.acm.org, https://dl.acm.org/doi/proceedings/10.1145/3313831",

}

Cordeil, M, Bach, B, Cunningham, A, Montoya, B, Smith, RT, Thomas, BH & Dwyer, T 2020, Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces. in J McGrenere & A Cockburn (eds), Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems., 486, Association for Computing Machinery (ACM), New York NY USA, International Conference on Human Factors in Computing Systems 2020, Honolulu , Hawaii, United States of America, 25/04/20. https://doi.org/10.1145/3313831.3376613

Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces. / Cordeil, Maxime; Bach, Benjamin ; Cunningham, Andrew et al.
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. ed. / Joanna McGrenere; Andy Cockburn. New York NY USA: Association for Computing Machinery (ACM), 2020. 486.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Cordeil, Maxime

AU - Bach, Benjamin

AU - Cunningham, Andrew

AU - Montoya, Bastian

AU - Smith, Ross T.

AU - Thomas, Bruce Hunter

AU - Dwyer, Tim

N1 - Conference code: 38th

PY - 2020

Y1 - 2020

N2 - 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, actuatedrange 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 thesurface 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, acontrolled user study was performed and found that the Embodied Axes was overall more accurate than conventional tracked controllers for selection tasks.

AB - 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, actuatedrange 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 thesurface 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, acontrolled user study was performed and found that the Embodied Axes was overall more accurate than conventional tracked controllers for selection tasks.

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KW - actuation

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ER -

Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces

Abstract

Conference

Keywords

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IA: Immersive Analytics: Interactive Data Analysis Using Surfaces and Spaces

Cite this

Embodied Axes: tangible, actuated interaction for 3D augmented reality data spaces

Abstract

Conference

Keywords

Access to Document

Other files and links

Projects

IA: Immersive Analytics: Interactive Data Analysis Using Surfaces and Spaces

Cite this