An Evaluation of Eye-Foot Input for Target Acquisitions

Zhang, Xinyong

doi:10.1007/978-3-030-78092-0_34

Cited by 2 publications

(1 citation statement)

References 64 publications

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“…Further, Müller et al [74] showed how the process of locomotion through foot movements can be used for interaction. Further, Zhang [110] showed that a combined foot and gaze input modality could improve target acquisition. As practical examples, Göbel et al [27] and Klamka et al [43] combined foot movements through a foot rocker and a foot joystick with gaze input for zooming and panning, and Rajanna [81] presented a mouse replacement for desktop environments.…”

Section: Foot-based Interactionmentioning

confidence: 99%

TicTacToes: Assessing Toe Movements as an Input Modality

Müller

Schmitt

Matviienko

et al. 2023

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

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In this work, we investigate the feasibility of a toe-based input modality for interacting with computing systems. For this, we investigate the influence of five factors on the accuracy, efficiency, and user expierience of such interfaces. In addition to the direction and the toes as illustrated in this figure, we further investigate the influence of the posture, the scaling of the interaction range and the location of the target.

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Section: Foot-based Interactionmentioning

confidence: 99%

TicTacToes: Assessing Toe Movements as an Input Modality

Müller

Schmitt

Matviienko

et al. 2023

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

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ManiLoco

Wan

Guo

Dong

et al. 2023

Proc. ACM Comput. Graph. Interact. Tech.

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The use of virtual reality (VR) in laboratory skill training is rapidly increasing. In such applications, users often need to explore a large virtual environment within a limited physical space while completing a series of hand-based tasks (e.g., object manipulation). However, the most widely used controller-based teleport methods may conflict with the users' hand operation and result in a higher cognitive load, negatively affecting their training experiences. To alleviate these limitations, we designed and implemented a locomotion method called ManiLoco to enable hands-free interaction and thus avoid conflicts and interruptions from other tasks. Users can teleport to a remote object's position by taking a step toward the object while looking at it. We evaluated ManiLoco and compared it with state-of-the-art Point & Teleport in a within-subject experiment with 16 participants. The results confirmed the viability of our foot- and head-based approach and better support concurrent object manipulation in VR training tasks. Furthermore, our locomotion method does not require any additional hardware. It solely relies on the VR head-mounted display (HMD) and our implementation of detecting the user's stepping activity, and it can be easily applied to any VR application as a plugin.

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An Evaluation of Eye-Foot Input for Target Acquisitions

Cited by 2 publications

References 64 publications

TicTacToes: Assessing Toe Movements as an Input Modality

TicTacToes: Assessing Toe Movements as an Input Modality

ManiLoco

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