User-defined gesture interaction for immersive VR shopping applications. Issue 7 (3rd July 2019)

• Record Type: Journal Article
• Authors: Wu, Huiyue; Wang, Yu; Qiu, Jiali; Liu, Jiayi; Zhang, Xiaolong (Luke)
• Is Part Of: Behaviour & information technology. Volume 38:Issue 7(2019)
• Page Start: 726
• Page End: 741
• Publication Date: 2019-07-03
• Subjects: Gestural interaction -- user-centered design -- elicitation study -- virtual reality -- online shopping; Electronic data processing -- Periodicals; Human engineering -- Periodicals; Information technology -- Periodicals; 303.4833
• DOI: 10.1080/0144929X.2018.1552313
• Languages: English
• ISSNs: 0144-929X

Abstract

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.