IDEAS home Printed from https://ideas.repec.org/a/taf/tbitxx/v40y2021i13p1428-1447.html
   My bibliography  Save this article

ArmMenu: command input on distant displays with proprioception based lateral arm movements

Author

Listed:
  • Huawei Tu
  • Weiyang Huan
  • Xingdong Yang
  • Xiangshi Ren
  • Feng Tian

Abstract

In this paper, we present ArmMenu, a command input approach for distant displays. ArmMenu has a circular interface like pie menus and menu selection is performed by proprioception-based lateral arm movements. We implemented ArmMenu with an off-the-shelf body tracking device (Kinect) and conducted two experiments to validate its efficacy. In the first experiment, we explored the design space of ArmMenu by varying the number of menu items, with exposed or hidden menu modes. Users can operate up to 8-item menus with high selection accuracy (>98%). ArmMenu was fast and accurate even with the hidden menu mode. The second experiment compared the performance of ArmMenu and touchless marking menus. While having similar selection accuracy, ArmMenu was faster and more preferable by users. Our studies consequently demonstrate ArmMenu's effectiveness for command input on distant displays.

Suggested Citation

  • Huawei Tu & Weiyang Huan & Xingdong Yang & Xiangshi Ren & Feng Tian, 2021. "ArmMenu: command input on distant displays with proprioception based lateral arm movements," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(13), pages 1428-1447, October.
  • Handle: RePEc:taf:tbitxx:v:40:y:2021:i:13:p:1428-1447
    DOI: 10.1080/0144929X.2020.1757760
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/0144929X.2020.1757760
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/0144929X.2020.1757760?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tbitxx:v:40:y:2021:i:13:p:1428-1447. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tbit .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.