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User-Defined Gestures for Augmented Reality

  • Thammathip Piumsomboon
  • Adrian Clark
  • Mark Billinghurst
  • Andy Cockburn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8118)

Abstract

Recently there has been an increase in research towards using hand gestures for interaction in the field of Augmented Reality (AR). These works have primarily focused on researcher designed gestures, while little is known about user preference and behavior for gestures in AR. In this paper, we present our guessability study for hand gestures in AR in which 800 gestures were elicited for 40 selected tasks from 20 participants. Using the agreement found among gestures, a user-defined gesture set was created to guide designers to achieve consistent user-centered gestures in AR. Wobbrock’s surface taxonomy has been extended to cover dimensionalities in AR and with it, characteristics of collected gestures have been derived. Common motifs which arose from the empirical findings were applied to obtain a better understanding of users’ thought and behavior. This work aims to lead to consistent user-centered designed gestures in AR.

Keywords

Augmented reality gestures guessability 

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Copyright information

© IFIP International Federation for Information Processing 2013

Authors and Affiliations

  • Thammathip Piumsomboon
    • 1
    • 2
  • Adrian Clark
    • 1
  • Mark Billinghurst
    • 1
  • Andy Cockburn
    • 2
  1. 1.HIT Lab NZUniversity of CanterburyChristchurchNew Zealand
  2. 2.Department of Computer Science and Software EngineeringUniversity of CanterburyChristchurchNew Zealand

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