A dynamic depth-variable ray-casting interface for object manipulation in ar environments

Ro, Hyocheol; Chae, Seungho; Kim, In-Hwan; Byun, Jung-Hyun; Yang, Yoonsik; Park, YoonJung; Han, Tack-Don

doi:10.1109/smc.2017.8123063

Cited by 33 publications

(37 citation statements)

References 9 publications

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“…In the following, we provide a last experiment to compare 1) RayCursor using the highlight feedback, tuned transfer function and filtered ray; 2) the same version of RayCursor but using a semi-automatic cursor positioning along the ray; 3) Raycasting using filtering; and 4) a recent technique from the literature, which features an adjustable ray [26].…”

Section: Discussionmentioning

confidence: 99%

“…However in the context of immersive environments such as VR headsets, the use of this technique would require significant displacements of the user to disambiguate between targets. Instead of having a cursor fixed on a ray, Ro et al introduced the ability to adjust the depth of the ray using relative displacements of a finger on a smartphone touchscreen [26]. However their technique was not compared to other techniques and the transfer function used to control the length of the ray is not detailed.…”

Section: Adding Extra Degrees Of Freedommentioning

confidence: 99%

“…The idea of a controllable cursor was introduced by Ro et al to select targets in augmented reality environments using a mobile phone [26]. However this technique was not designed to facilitate the selection of small targets.…”

Section: Adding a Cursor On The Raymentioning

confidence: 99%

“…Virtual hand techniques provide an isomorphic mapping between the real hand and the virtual one [1]. Despite many technique intended to improve Raycasting [6,10,14,20,22,[25][26][27][28], standard Raycasting and virtual hand remain the two default techniques available with devices such as the HTC Vive and their programming environment.…”

Section: Introductionmentioning

confidence: 99%

“…We explain the general setup of our user studies, and a series of experiments investigating each of the characteristics of RayCursor. Finally, we detail a user evaluation, comparing RayCursor to standard Raycasting and the closest technique in the literature [26].…”

Section: Introductionmentioning

confidence: 99%

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RayCursor

Baloup

Pietrzak

Casiez

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Figure 1: Illustration of manual RayCursor: a) the user controls a cursor along the ray using relative displacements of their thumb on the controller's touchpad; b) the target closest to the cursor is highlighted. Illustration of semi-auto RayCursor: c) by default, it works like Raycasting. The cursor (in black) is positioned at the intersection with a target; d) the target remains selected if the cursor moves out of the target, until it is closer to another target; e) the user can manually move the cursor using the controller's touchpad, to select another target (the cursor turns red to indicate manual mode); f) if the user does not touch the touchpad for 1s, the cursor returns to its behaviour described in c). ABSTRACTRaycasting is the most common target pointing technique in virtual reality environments. However, performance on small and distant targets is impacted by the accuracy of the pointing device and the user's motor skills. Current pointing facilitation techniques are currently only applied in the context of the virtual hand, i.e. for targets within reach. We propose enhancements to Raycasting: filtering the ray, and adding a controllable cursor on the ray to select the nearest target. We describe a series of studies for the design of the visual feedforward, filtering technique, as well as a comparative study between different 3D pointing techniques.Our results show that highlighting the nearest target is one of the most efficient visual feedforward technique. We also show that filtering the ray reduces error rate in a drastic way. Finally we show the benefits of RayCursor compared to Raycasting and another technique from the literature.

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Section: Discussionmentioning

confidence: 99%

Section: Adding Extra Degrees Of Freedommentioning

confidence: 99%

Section: Adding a Cursor On The Raymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RayCursor

Baloup

Pietrzak

Casiez

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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Global Scene Filtering, Exploration, and Pointing in Occluded Virtual Space

Yuan

Sun

et al. 2021

Human-Computer Interaction – INTERACT 2021

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A Lens-Based Extension of Raycasting for Accurate Selection in Dense 3D Environments

Plasson¹,

Cunin²,

Laurillau³

et al. 2021

Human-Computer Interaction – INTERACT 2021

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In mixed environments, the selection of distant 3D objects is commonly based on raycasting. To address the limitations of raycasting for selecting small targets in dense environments, we present RayLens an extended raycasting technique. RayLens is a bimanual selection technique, which combines raycasting with a virtual 2D magnification lens that can be remotely moved in 3D space using the non-dominant hand. We experimentally compared RayLens with a standard raycasting technique as well as with RaySlider an extension of raycasting based on a target expansion mechanism whose design is akin to RayLens. RayLens is considerably more accurate and more than 1.3× faster than raycasting for selecting small targets. Furthermore, RayLens is more than 1.6× faster than RaySlider in dense environments. Qualitatively, RayLens is easy-to-learn and the preferred technique making it a good candidate technique for general public usage.

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A dynamic depth-variable ray-casting interface for object manipulation in ar environments

Cited by 33 publications

References 9 publications

RayCursor

RayCursor

Global Scene Filtering, Exploration, and Pointing in Occluded Virtual Space

A Lens-Based Extension of Raycasting for Accurate Selection in Dense 3D Environments

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