Exploring frame-based gesture design for immersive VR shopping environments

Huiyue Wu, Shengqian Fu, Liuqingqing Yang, Xiaolong Zhang

Research output: Contribution to journalArticlepeer-review

Abstract

In the design of gesture-based user interfaces, traditional gesture elicitation studies suffer from the legacy bias problem. In this paper, we conducted an exploratory study about the practical effects of frame-based design for gestural interaction with immersive VR shopping applications. In this study, we derived gestures via the traditional guessability and the framed guessability approaches. Experimental results indicated that priming participants with a frame, or a scenario, could significantly reduce the impact of legacy bias, and result in superior gesture vocabulary. However, no evidence was found that the priming technique would generate more gesture types, which may lead to lower agreement scores due to the reduction of legacy bias. Based on our findings, we propose some concrete design guidelines for gesture-based interaction. We highlight the implications of this work for the design of all gesture-based applications.

Original languageEnglish (US)
Pages (from-to)1-22
Number of pages22
JournalBehaviour and Information Technology
DOIs
StatePublished - 2020

All Science Journal Classification (ASJC) codes

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

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