• DocumentCode
    64012
  • Title

    An Elicitation Study on Gesture Preferences and Memorability Toward a Practical Hand-Gesture Vocabulary for Smart Televisions

  • Author

    Haiwei Dong ; Danesh, Ali ; Figueroa, Nadia ; El Saddik, Abdulmotaleb

  • Author_Institution
    Multimedia Comput. Res. Lab., Univ. of Ottawa, Ottawa, ON, Canada
  • Volume
    3
  • fYear
    2015
  • fDate
    2015
  • Firstpage
    543
  • Lastpage
    555
  • Abstract
    With the introduction of new depth-sensing technologies, interactive hand-gesture devices (such as smart televisions and displays) have been rapidly emerging. However, given the lack of a common vocabulary, most hand-gesture control commands are device-specific, burdening the user into learning different vocabularies for different devices. In order for hand gestures to become a natural communication for users with interactive devices, a standardized interactive hand-gesture vocabulary is necessary. Recently, researchers have approached this issue by conducting studies that elicit gesture vocabularies based on users´ preferences. Nonetheless, a universal vocabulary has yet to be proposed. In this paper, a thorough design methodology for achieving such a universal hand-gesture vocabulary is presented. The methodology is derived from the work of Wobbrock et al. and includes four steps: 1) a preliminary survey eliciting users´ attitudes; 2) a broader user survey in order to construct the universal vocabulary via results of the preliminary survey; 3) an evaluation test to study the implementation of the vocabulary; and 4) a memory test to analyze the memorability of the vocabulary. The proposed vocabulary emerged from this methodology achieves an agreement score exceeding those of the existing studies. Moreover, the results of the memory test show that, within a 15-min training session, the average accuracy of the proposed vocabulary is 90.71%. Despite the size of the proposed gesture vocabulary being smaller than that of similar work, it shares the same functionality, is easier to remember and can be integrated with smart TVs, interactive digital displays, and so on.
  • Keywords
    digital television; gesture recognition; human computer interaction; interactive devices; interactive television; depth-sensing technology; gesture preferences; hand-gesture control commands; interactive digital displays; interactive hand-gesture devices; memory test; smart TVs; smart televisions; time 15 min; universal hand-gesture vocabulary; Behavioral science; Design methodology; Gesture recognition; Haptic interfaces; Human computer interaction; Smart TV; Vocabulary; Hand-gesture interaction; gesture elicitation study; gesture set; human-computer interaction; preferences and attitudes;
  • fLanguage
    English
  • Journal_Title
    Access, IEEE
  • Publisher
    ieee
  • ISSN
    2169-3536
  • Type

    jour

  • DOI
    10.1109/ACCESS.2015.2432679
  • Filename
    7106566