scispace - formally typeset
Search or ask a question
Topic

Haptic technology

About: Haptic technology is a research topic. Over the lifetime, 18818 publications have been published within this topic receiving 306713 citations. The topic is also known as: haptics & haptic media.


Papers
More filters
Patent
14 Jul 2009
TL;DR: In this paper, systems and methods for shifting the haptic feedback function between passive and active modes are disclosed, and the first signal from a sensor is associated with a mode of interaction with a graphical user interface and the second signal associated with an interaction with the graphical interface.
Abstract: Systems and methods for shifting haptic feedback function between passive and active modes are disclosed. For example, one disclosed method includes receiving a first signal from a sensor, the first signal associated with a mode of interaction with a graphical user interface; receiving a second signal associated with an interaction with the graphical user interface; determining a haptic feedback effect based at least in part on the mode of interaction with the graphical user interface and the interaction with the graphical user interface; and generating a haptic signal configured to output the haptic feedback effect.

75 citations

Journal ArticleDOI
TL;DR: Comparing the effectiveness of learning a complex, 3-dimensional rowing-type task with either concurrent visual, auditory, or haptic feedback to self-controlled terminal visual feedback revealed that terminal visual Feedback was most effective because it emphasized the internalization of task-relevant aspects.
Abstract: Augmented feedback, provided by coaches or displays, is a well-established strategy to accelerate motor learning. Frequent terminal feedback and concurrent feedback have been shown to be detrimental for simple motor task learning but supportive for complex motor task learning. However, conclusions on optimal feedback strategies have been mainly drawn from studies on artificial laboratory tasks with visual feedback only. Therefore, the authors compared the effectiveness of learning a complex, 3-dimensional rowing-type task with either concurrent visual, auditory, or haptic feedback to self-controlled terminal visual feedback. Results revealed that terminal visual feedback was most effective because it emphasized the internalization of task-relevant aspects. In contrast, concurrent feedback fostered the correction of task-irrelevant errors, which hindered learning. The concurrent visual and haptic feedback group performed much better during training with the feedback than in nonfeedback trials. Auditory feedback based on sonification of the movement error was not practical for training the 3-dimensional movement for most participants. Concurrent multimodal feedback in combination with terminal feedback may be most effective, especially if the feedback strategy is adapted to individual preferences and skill level.

75 citations

Proceedings ArticleDOI
18 Apr 1996
TL;DR: This project uses aforce feedback joystick to enhance user interaction with standard graphical user interfhce paradigms and shows that fome feedback can enhance a users ability to perform basic functions within graphical user interfaces.
Abstract: This project uses aforce feedback joystick to enhance user interaction with standard graphical user interfhce paradigms. While typical joystick and mouse devices are input-only, force feedback controllers allow physical sensations to be reflected to a user. Tasks that require users to position a cursor on a given target can be enhanced by applying physical forces to the user that aid in targeting. For example, an attractive force field implemented at the location cf a graphical icon can greatly facilitate target acquisition and selection of the icon. It has been shown that fome feedback can enhance a users ability to perform basic functions within graphical user interfaces. ,

75 citations

Journal ArticleDOI
TL;DR: This article primarily covers the tactile interactions of human fingers or hands with surface-haptics displays by focusing on the three most popular actuation methods: vibrotactile, electrostatic, and ultrasonic.
Abstract: In this article, we review the current technology underlying surface haptics that converts passive touch surfaces to active ones (machine haptics), our perception of tactile stimuli displayed through active touch surfaces (human haptics), their potential applications (human-machine interaction), and finally, the challenges ahead of us in making them available through commercial systems. This article primarily covers the tactile interactions of human fingers or hands with surface-haptics displays by focusing on the three most popular actuation methods: vibrotactile, electrostatic, and ultrasonic.

75 citations

Patent
09 Feb 1999
TL;DR: In this paper, a user can interact with and modify an electronic holographic image using a force-feedback (or haptic) device, which is capable of sensing and reporting the 3D position of its hand-held stylus and displaying appropriate forces to the user.
Abstract: A user is able to interact with and modify an electronic holographic image using a force-feedback (or haptic) device, which is capable of sensing and reporting the 3D position of its hand-held stylus and “displaying” appropriate forces to the user. Thus, a user can feel and modify specified shapes in the haptic workspace. The haptic workspace is precisely registered with the free-standing, spatial image displayed by a holographic video (holovideo) system. In the coincident visuo-haptic workspace, a user can see, feel, and interact with synthetic objects that exhibit many of the properties one expects of real ones, and the spatial display enables synthetic objects to become a part of the user's manipulatory space.

75 citations


Network Information
Related Topics (5)
Robot
103.8K papers, 1.3M citations
89% related
Mobile robot
66.7K papers, 1.1M citations
86% related
User interface
85.4K papers, 1.7M citations
82% related
Mobile device
58.6K papers, 942.8K citations
78% related
Control theory
299.6K papers, 3.1M citations
78% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023647
20221,508
2021745
20201,056
20191,180
20181,034