HapticPuppet: A kinesthetic mid-air multidirectional force-feedback drone-based interface

Author

Martin FEICK
Anthony TANG, Singapore Management UniversityFollow
Antonio KRUGER

Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

11-2022

Abstract

Providing kinesthetic force-feedback for human-scale interactions is challenging due to the relatively large forces needed. Therefore, robotic actuators are predominantly used to deliver this kind of haptic feedback; however, they offer limited flexibility and spatial resolution. In this work, we introduce HapticPuppet, a drone-based force-feedback interface which can exert multidirectional forces onto the human body. This can be achieved by attaching strings to different parts of the human body such as fingers, hands or ankles, which can then be affixed to multiple coordinated drones - puppeteering the user. HapticPuppet opens up a wide range of potential applications in virtual, augmented and mixed reality, exercising, physiotherapy, remote collaboration as well as haptic guidance.

Keywords

AR, Directional Kinesthetic Force-Feedback, Drones, Haptics, VR

Discipline

Graphics and Human Computer Interfaces | Information Security

Research Areas

Information Systems and Management

Publication

UIST '22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, Bend, OR, October 29-November 2

First Page

1

Last Page

3

ISBN

9781450393218

Identifier

10.1145/3526114.3558694

Publisher

ACM

City or Country

New York

Citation

FEICK, Martin; TANG, Anthony; and KRUGER, Antonio. HapticPuppet: A kinesthetic mid-air multidirectional force-feedback drone-based interface. (2022). UIST '22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, Bend, OR, October 29-November 2. 1-3.
Available at: https://ink.library.smu.edu.sg/sis_research/7903

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Additional URL

https://doi.org/10.1145/3526114.3558694