User-defined gesture interaction for immersive VR shopping applications

Huiyue Wu, Yu Wang, Jiali Qiu, Jiayi Liu, Xiaolong Zhang

Research output: Contribution to journalArticle

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

Fingerprint

Gestures
interaction
User interfaces
Shopping
Interaction
Gesture
user interface
Research
research project

All Science Journal Classification (ASJC) codes

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

Cite this

Wu, Huiyue ; Wang, Yu ; Qiu, Jiali ; Liu, Jiayi ; Zhang, Xiaolong. / User-defined gesture interaction for immersive VR shopping applications. In: Behaviour and Information Technology. 2019 ; Vol. 38, No. 7. pp. 726-741.
@article{f872cc1b506a4712800d9311f2e93de2,
title = "User-defined gesture interaction for immersive VR shopping applications",
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.",
author = "Huiyue Wu and Yu Wang and Jiali Qiu and Jiayi Liu and Xiaolong Zhang",
year = "2019",
month = "7",
day = "3",
doi = "10.1080/0144929X.2018.1552313",
language = "English (US)",
volume = "38",
pages = "726--741",
journal = "Behaviour and Information Technology",
issn = "0144-929X",
publisher = "Taylor and Francis Ltd.",
number = "7",

}

User-defined gesture interaction for immersive VR shopping applications. / Wu, Huiyue; Wang, Yu; Qiu, Jiali; Liu, Jiayi; Zhang, Xiaolong.

In: Behaviour and Information Technology, Vol. 38, No. 7, 03.07.2019, p. 726-741.

Research output: Contribution to journalArticle

TY - JOUR

T1 - User-defined gesture interaction for immersive VR shopping applications

AU - Wu, Huiyue

AU - Wang, Yu

AU - Qiu, Jiali

AU - Liu, Jiayi

AU - Zhang, Xiaolong

PY - 2019/7/3

Y1 - 2019/7/3

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85058093939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85058093939&partnerID=8YFLogxK

U2 - 10.1080/0144929X.2018.1552313

DO - 10.1080/0144929X.2018.1552313

M3 - Article

AN - SCOPUS:85058093939

VL - 38

SP - 726

EP - 741

JO - Behaviour and Information Technology

JF - Behaviour and Information Technology

SN - 0144-929X

IS - 7

ER -