Gaze tracking and non-touch gesture based interaction method for mobile 3D virtual spaces

Pouke, Matti; Karhu, Antti; Hickey, Seamus; Arhippainen, Leena

doi:10.1145/2414536.2414614

Cited by 19 publications

(17 citation statements)

References 18 publications

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“…Pouke et al investigated the combination of gaze and mid-air gestures, but in the form of a 6DOF sensor device attached to the hand [13]. Their system supported tilt, grab/switch, shake and throw gestures.…”

Section: Gaze and Mid-air Gesturesmentioning

confidence: 99%

“…Hales et al describe a system in which discrete hand gestures issued commands to objects in the environment selected by gaze [12]. Pouke et al investigated the combination of gaze and mid-air gestures, but in the form of a 6DOF sensor device attached to the hand [13]. They compared their technique with touch, and found that the touch-based interaction was faster and more accurate.…”

Section: Introductionmentioning

confidence: 99%

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An Empirical Investigation of Gaze Selection in Mid-Air Gestural 3D Manipulation

Velloso

Turner

Alexander

et al. 2015

Lecture Notes in Computer Science

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Abstract. In this work, we investigate gaze selection in the context of mid-air hand gestural manipulation of 3D rigid bodies on monoscopic displays. We present the results of a user study with 12 participants in which we compared the performance of Gaze, a Raycasting technique (2D Cursor) and a Virtual Hand technique (3D Cursor) to select objects in two 3D mid-air interaction tasks. Also, we compared selection confirmation times for Gaze selection when selection is followed by manipulation to when it is not. Our results show that gaze selection is faster and more preferred than 2D and 3D mid-air-controlled cursors, and is particularly well suited for tasks in which users constantly switch between several objects during the manipulation. Further, selection confirmation times are longer when selection is followed by manipulation than when it is not.

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Section: Gaze and Mid-air Gesturesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Empirical Investigation of Gaze Selection in Mid-Air Gestural 3D Manipulation

Velloso

Turner

Alexander

et al. 2015

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Finally, the user experiences much less fatigue moving their eyes than their hands or other parts of body. Many authors have studied multi-modal control interfaces combining gaze tracking pointing and hand gesture control before [15,16,12,17]. Pouke et al [12] used an eye tracking interface for selecting a model and controlled it using wearable hardware on the hand.…”

Section: Our Approachmentioning

confidence: 99%

“…Many authors have studied multi-modal control interfaces combining gaze tracking pointing and hand gesture control before [15,16,12,17]. Pouke et al [12] used an eye tracking interface for selecting a model and controlled it using wearable hardware on the hand. But this system provided limited control functions for movement and rotation that are insufficient to apply to CAD applications.…”

Section: Our Approachmentioning

confidence: 99%

“…The rotation task is done by dragging the mouse in the XY plane and the angle of the 3D model is adjusted similar to translation. Implementing as a one-hand rotation control [12,11], the displacement of the hand position after triggering the command adjusts the rotation angle. As these methods are based on the metaphor of rotation manipulation with a mouse, it is not intuitive for the user from the aspect of reflecting the real world.…”

Section: Introductionmentioning

confidence: 99%

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