A wizard-of-oz elicitation study examining child-defined gestures with a whole-body interface

Sabrina Connell, Pei Yi Kuo, Liu Liu, Anne Marie Piper

Research output: Chapter in Book/Report/Conference proceedingConference contribution

56 Scopus citations

Abstract

This paper explores the use of a guessability study to examine child-defined gestures with Kinect. Applying a Wizard-of-Oz approach, gestures were elicited from six children (age 3-8) through a series of 22 task stimuli including object manipulation, navigation-based tasks, and spatial interaction. Gestures were video recorded, transcribed, and coded by three researchers employing an inductive, qualitative method of analysis. Five themes emerged from the data: (1) the influence of 2D touchscreens on children's interactions in 3D, (2) the role of contextual cues in designing a stimuli set, (3) individual preferences for dominant styles of interaction, (4) different approaches children employ to simulate the same object path, and (5) and allocentric versus egocentric approaches for manipulating objects on screen. While we did not achieve strong consensus among all of the gestures produced by children in our study, our results provide a basis for further refinement of the stimulus set and methodology used for future work examining child-defined gestures for whole-body interfaces.

Original languageEnglish (US)
Title of host publicationProceedings of IDC 2013 - The 12th International Conference on Interaction Design and Children
Pages277-280
Number of pages4
DOIs
StatePublished - 2013
Event12th International Conference on Interaction Design and Children, IDC 2013 - New York, NY, United States
Duration: Jun 24 2013Jun 27 2013

Publication series

NameACM International Conference Proceeding Series

Other

Other12th International Conference on Interaction Design and Children, IDC 2013
Country/TerritoryUnited States
CityNew York, NY
Period6/24/136/27/13

Keywords

  • Children
  • User-defined gestures
  • Whole-body interaction

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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