EconPapers    
Economics at your fingertips  
 

PalmRC: leveraging the palm surface as an imaginary eyes-free television remote control

Niloofar Dezfuli, Mohammadreza Khalilbeigi, Jochen Huber, Murat Özkorkmaz and Max Mühlhäuser

Behaviour and Information Technology, 2014, vol. 33, issue 8, 829-843

Abstract: User input on television (TV) typically requires a mediator device such as a handheld remote control. While this is a well-established interaction paradigm, a handheld device has serious drawbacks: it can be easily misplaced due to its mobility and in case of a touch screen interface, it also requires additional visual attention. Emerging interaction paradigms such as 3D mid-air gestures using novel depth sensors (e.g. Microsoft Kinect), aim at overcoming these limitations, but are known to be tiring. In this article, we propose to leverage the palm as an interactive surface for TV remote control. We present three user studies which set the base for our four contributions: We (1) qualitatively explore the conceptual design space of the proposed imaginary palm-based remote control in an explorative study, (2) quantitatively investigate the effectiveness and accuracy of such an interface in a controlled experiment, (3) identified user acceptance in a controlled laboratory evaluation comparing PalmRC concept with two most typical existing input modalities, here conventional remote control and touch-based remote control interfaces on smart phones for their user experience, task load, as well as overall preference, and (4) contribute PalmRC, an eyes-free, palm-surface-based TV remote control. Our results show that the palm has the potential to be leveraged for device-less eyes-free TV remote interaction without any third-party mediator device.

Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2013.810781 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:33:y:2014:i:8:p:829-843

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2013.810781

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tbitxx:v:33:y:2014:i:8:p:829-843