User-defined gesture interaction for immersive VR shopping applications

Huiyue Wu, Yu Wang, Jiali Qiu, Jiayi Liu, Xiaolong (Luke) Zhang

Research output: Contribution to journalArticle

1 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)726-741
Number of pages16
JournalBehaviour and Information Technology
Volume38
Issue number7
DOIs
StatePublished - Jul 3 2019

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All Science Journal Classification (ASJC) codes

  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Social Sciences(all)
  • Human-Computer Interaction

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