TY - JOUR
T1 - Exploring frame-based gesture design for immersive VR shopping environments
AU - Wu, Huiyue
AU - Fu, Shengqian
AU - Yang, Liuqingqing
AU - Zhang, Xiaolong
N1 - Funding Information:
The authors would like to thank the anonymous reviewers for their insightful comments. This work was supported by the National Natural Science Foundation of China under grant number 61772564, 61202344 and the funding offered by the China Scholarship Council (CSC).
Publisher Copyright:
© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
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U2 - 10.1080/0144929X.2020.1795261
DO - 10.1080/0144929X.2020.1795261
M3 - Article
AN - SCOPUS:85088024378
SP - 1
EP - 22
JO - Behaviour and Information Technology
JF - Behaviour and Information Technology
SN - 0144-929X
ER -