Gaze Augmented Hand-Based Kinesthetic Interaction: What You See is What You Feel

Li, Zhenxing; Akkil, Deepak; Raisamo, Roope

doi:10.1109/toh.2019.2896027

Cited by 8 publications

(4 citation statements)

References 45 publications

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“…Gaze interactions may also cause eye fatigue or strain [97], but the direct measurement of their impact is not yet known, as they are assessed using devices that themselves induce fatigue symptoms [37]. Moreover, research has found less eye strain when gaze was used only for pointing, rather than being used for both pointing and selection [68].…”

Section: Related Workmentioning

confidence: 99%

Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

Reddy,

Proulx,

Hirshfield

et al. 2024

Preprint

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Gaze-assisted interaction techniques enable intuitive selections without requiring manual pointing but can result in unintended selections, known as Midas touch. A confirmation trigger eliminates this issue but requires additional physical and conscious user effort. Brain-computer interfaces (BCIs), particularly passive BCIs harnessing anticipatory potentials such as the Stimulus-Preceding Negativity (SPN) - evoked when users anticipate a forthcoming stimulus - present an effortless implicit solution for selection confirmation. Within a VR context, our research uniquely demonstrates that SPN has the potential to decode intent towards the visually focused target. We reinforce the scientific understanding of its mechanism by addressing a confounding factor - we demonstrate that the SPN is driven by the user’s intent to select the target, not by the stimulus feedback itself. Furthermore, we examine the effect of familiarly placed targets, finding that SPN may be evoked quicker as users acclimatize to target locations; a key insight for everyday BCIs.CCS CONCEPTSHuman-centered computing→Virtual reality;Mixed / augmented reality;Accessibility technologies;Interaction techniques.ACM Reference FormatG. S. Rajshekar Reddy, Michael J. Proulx, Leanne Hirshfield, and Anthony J. Ries. 2024. Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR. InProceedings of the CHI Conference on Human Factors in Computing Systems (CHI ‘24), May 11–16, 2024, Honolulu, HI, USA. ACM, New York, NY, USA, 17 pages.https://doi.org/10.1145/3613904.3641925

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Section: Related Workmentioning

confidence: 99%

Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

Reddy,

Proulx,

Hirshfield

et al. 2024

Preprint

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“…Li et al (Li, Akkil, & Raisamo, 2019) presented a new interaction technique in which gaze tracking is performed in order to control the position of the virtual avatar. Thus, users can feel in their hands the objects they are looking at.…”

Section: Introductionmentioning

confidence: 99%

Haptic Zoom: An Interaction Model for Desktop Haptic Devices with Limited Workspace

Gutiérrez-Fernández

Fernández-Llamas

Esteban

et al. 2022

International Journal of Human–Computer Interaction

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Haptic devices can be used to feel through the sense of touch what the user is watching in a virtual scene. Force feedback devices provide kinesthetic information enabling the user to touch virtual objects. However, the most reasonably priced devices of this type are the desktop ones, which have a limited workspace that does not allow a natural and convenient interaction with virtual scenes due to the difference in size between them and the workspace. In this paper, a brand-new interaction model addressing this problem is proposed. It is called Haptic Zoom and it is based on performing visual and haptic amplifications of regions of interest. These amplifications allow the user to decide whether s/he wants more freedom in movements or an accurate interaction with a specific element inside the scene. An evaluation has been carried out comparing this technique and two well-known desktop haptic device techniques. Preliminary results showed that haptic zoom can be more useful than other techniques at accuracy tasks.

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“…Dominjon et al [14] used the bubble technique which adjusts the HIP speed based on the relative positions of the HIP and its bubble to reach objects. Li et al [15,16] employed gaze modality to move the HIP for reaching remote targets. Both methods maintained the unit CD gain while touching objects.…”

Section: Introductionmentioning

confidence: 99%

“…Overall, there is an agreement that applying a large gain may influence kinesthetic interactions [14][15][16]. However, it is still not clear how different CD gains affect task measures such as task completion time, accuracy of interaction and user experience in real-world kinesthetic tasks.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Control-Display Gain in Kinesthetic Search

Akkil

Raisamo

2020

Haptics: Science, Technology, Applications

Self Cite

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Kinesthetic interaction typically employs force-feedback devices for providing the kinesthetic input and feedback. However, the length of the mechanical arm limits the space that users can interact with. To overcome this challenge, a large control-display (CD) gain (>1) is often used to transfer a small movement of the arm to a large movement of the onscreen interaction point. Although a large gain is commonly used, its effects on task performance (e.g., task completion time and accuracy) and user experience in kinesthetic interaction remain unclear. In this study, we compared a large CD gain with the unit CD gain as the baseline in a task involving kinesthetic search. Our results showed that the large gain reduced task completion time at the cost of task accuracy. Two gains did not differ in their effects on perceived hand fatigue, naturalness, and pleasantness, but the large gain negatively influenced user confidence of successful task completion.

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Gaze Augmented Hand-Based Kinesthetic Interaction: What You See is What You Feel

Cited by 8 publications

References 45 publications

Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

Towards an Eye-Brain-Computer Interface: Combining Gaze with the Stimulus-Preceding Negativity for Target Selections in XR

Haptic Zoom: An Interaction Model for Desktop Haptic Devices with Limited Workspace

The Impact of Control-Display Gain in Kinesthetic Search

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