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Park, Soonchan; Kim, Seokyeol; Park, Jinah

doi:10.1145/2350046.2350060

Cited by 6 publications

(2 citation statements)

References 6 publications

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“…The task was based on other work that explored the selection of one target from many in VR [30,39,54]. Ten spherical targets were presented in random positions within a cone-based layout of 50 degrees (Figure 9) within a specifed depth range.…”

Section: Taskmentioning

confidence: 99%

Vergence Matching: Inferring Attention to Objects in 3D Environments for Gaze-Assisted Selection

Sidenmark

Clarke

Newn

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Figure 1: We present Vergence Matching, an interaction technique which uses the principle of motion correlation for selection of small targets in 3D environments. To select a target, smooth depth changes are induced perpendicular to the user: (a) when the target moves closer, the eyes move inwards increasing the vergence angle (convergence), (b) vice versa the vergence angle decreases (divergence) when the target moves away from the user. The relative vergence movement of the eyes are then correlated with the depth changes of the object to determine which target the user is attending to.

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Section: Taskmentioning

confidence: 99%

Vergence Matching: Inferring Attention to Objects in 3D Environments for Gaze-Assisted Selection

Sidenmark

Clarke

Newn

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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“…Thus, even small movements in dense environments can create incessant disturbing effect with the technique constantly snapping to nearby targets. Very few improvements have been proposed since the appearance of the 3D Bubble Cursor technique [22]. We hence undertake the task of proposing a solution to improve the 3D Bubble Cursor regarding two common issues, namely (i) the re-snap effect in dense environment, and (ii) the limited reaching space.…”

mentioning

confidence: 99%

MultiFingerBubble: A 3D Bubble Cursor Variation for Dense Environments

Delamare

Daniel

Hasan

2022

CHI Conference on Human Factors in Computing Systems Extended Abstracts

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In this work, we propose MultiFingerBubble, a new variation of the 3D Bubble Cursor. The 3D Bubble Cursor is sensitive to distractors in dense environments: the volume selection resizes to snap-to nearby targets. To prevent the cursor to constantly re-snap to neighboring targets, MultiFingerBubble includes multiple targets in the volume selection, and hence increases the targets effective width. Each target in the volume selection is associated with a specific finger. Users can then select a target by flexing its corresponding finger. We report on a controlled in-lab experiment to explore various design options regarding the number of fingers to use, and the target-to-finger mapping and its visualization. Our study results suggest that MultiFingerBubble is best used with three fingers and colored lines to reveal the mapping between targets and fingers. CCS CONCEPTS• Human-centered computing → Pointing; Laboratory experiments.

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PhoneCursor: Improving 3D Selection Performance With Mobile Device in AR

et al. 2020

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This study proposes a novel technology as a creative method to interact with an augmented reality (AR) system called PhoneCursor, which is incorporated onto head-mounted displays. PhoneCursor is designed to offer more intuitive, portable and natural interaction. Its technical realization combines the gyroscope and acceleration sensor based on mobile phone. In view of the target selection ability as a base function of PhoneCursor, it also enhances the performance in solving some difficult selection problems in AR, including far and small object selection, 3D occlusion, dense object selection, and batch selection problem. An experiment based on the ISO 9241-9 standard is conducted to investigate this ability, wherein the PhoneCursor technique is compared with the widely used and well-performing head-movementbased selection technique. Results show that PhoneCursor performs better in terms of movement time and throughput than the conventional technique. Some applications are further proposed to showcase the potential of using the PhoneCursor technique in AR scenarios.

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Cited by 6 publications

References 6 publications

Vergence Matching: Inferring Attention to Objects in 3D Environments for Gaze-Assisted Selection

Vergence Matching: Inferring Attention to Objects in 3D Environments for Gaze-Assisted Selection

MultiFingerBubble: A 3D Bubble Cursor Variation for Dense Environments

PhoneCursor: Improving 3D Selection Performance With Mobile Device in AR

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