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User-defined gesture interaction for immersive VR shopping applications

Author

Listed:
  • Huiyue Wu
  • Yu Wang
  • Jiali Qiu
  • Jiayi Liu
  • Xiaolong (Luke) Zhang

Abstract

Gesture elicitation studies, which are a popular technology for collecting requirements and expectations by involving real users in gesture design processes, often suffer from gesture disagreement and legacy bias and may not generate optimal gestures for a target system in practice. This paper reports a research project on user-defined gestures for interacting with immersive VR shopping applications. The main contribution of this work is the proposal of a more practical method for deriving more reliable gestures than traditional gesture elicitation studies. We applied this method to a VR shopping application and obtained empirical evidence for the benefits of deriving two gestures in the a priori stage and selecting the top-two gestures in the a posteriori stage of traditional elicitation studies for each referent. We hope that this research can help lay a theoretical foundation for freehand-gesture-based user interface design and be generalised to all freehand-gesture-based applications.

Suggested Citation

  • Huiyue Wu & Yu Wang & Jiali Qiu & Jiayi Liu & Xiaolong (Luke) Zhang, 2019. "User-defined gesture interaction for immersive VR shopping applications," Behaviour and Information Technology, Taylor & Francis Journals, vol. 38(7), pages 726-741, July.
    • Handle: RePEc:taf:tbitxx:v:38:y:2019:i:7:p:726-741
    DOI: 10.1080/0144929X.2018.1552313
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