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A Comparison of Gaze-Based and Gesture-Based Input for a Point-and-Click Task

  • Dominic Canare
  • Barbara ChaparroEmail author
  • Jibo He
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9176)

Abstract

Alternative input devices to the computer mouse are becoming more affordable and accessible. With greater availability, they have the potential to provide greater access to information for more users in more environments, perhaps while also providing more natural or efficient interaction. However, most user interfaces are built to be mouse-driven, and the adoption of these new technologies may depend on their ability to work with these existing interfaces. This study examined performance with gesture-control and gaze-tracking devices and compared them to a traditional mouse for a standard Fitts’ point-and-click task. Both gesture-controlled and gaze-tracking proved to be viable alternatives, though they were significantly slower and more taxing than the familiar mouse. In order to make effective use of these devices, researchers, designers, and developers must find or create control schemes which take advantage of the alternative devices’ benefits while curtailing the drawbacks.

Keywords

Gaze Gesture Mouse Leap motion Eyetribe Fitts’ law 

References

  1. 1.
    Wachs, J.P., Stern, H., Edan, Y., Gillam, M., Handler, J., Feied, C., Smith, M.: A gesture-based tool for sterile browsing of radiology images. J. Am. Med. Inform. Assoc. 15(3), 321–323 (2008)CrossRefGoogle Scholar
  2. 2.
    O’hara, K., Harper, R., Mentis, H., Sellen, A., Taylor, A.: On the naturalness of touchless putting the “interaction” back into NUI. ACM Trans. Comput.-Hum. Interact. 20(1), 5 (2013)Google Scholar
  3. 3.
    Manresa-Yee, C., Ponsa, P., Varona, J., Perales, F.: User experience to improve the usability of a vision-based interface. Interact. Comput. 22, 594–605 (2010)CrossRefGoogle Scholar
  4. 4.
    MacKenzie, S.: Fitts’ law as a research and design tool in human-computer interaction. Hum.-Comput. Interact. 7, 91–139 (1992)CrossRefGoogle Scholar
  5. 5.
    Leap Motion Controller LM-010, Best Buy, [Online]. Available: http://www.bestbuy.com/site/leap-motion-controller/9526603.p/. [Accessed 9 May 2014]
  6. 6.
    Savage, N.: More than a mouse. Commun. ACM 56(11), 15–16 (2013)CrossRefGoogle Scholar
  7. 7.
    The Eye Tribe, [Online]. Available: http://theeyetribe.com. [Accessed 9 May 2014]
  8. 8.
    Zhai, S.: What’s in the eyes for attentive input. Commun. ACM 46(3), 34–39 (2003)CrossRefGoogle Scholar
  9. 9.
    Cisco, Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2013–2018 (2014)Google Scholar
  10. 10.
    NASA, Nasa Task Load Index (TLX) v. 1.0 Manual (1986)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Wichita State UniversityWichitaUSA

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