Development and Evaluation of a Virtual Reality Grocery Shopping Application Using a Multi-kinect Walking-in-Place Approach

Ketoma, Vix Kemanji; Schäfer, Philip; Meixner, Gerrit

doi:10.1007/978-3-319-73888-8_57

Cited by 12 publications

(5 citation statements)

References 18 publications

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“…Computer vision researchers have leveraged Kinect’s vision technology for performing tasks such as aiding children to overcome autism [ 38 ] and for doctors in their operating rooms. Azure Kinect has been released for developers and industries which will potentially transform human–computer interaction in various industries including manufacturing, education [ 39 ], healthcare [ 40 ], retail [ 41 ], transportation [ 42 ], and beyond.…”

Section: Rgb-dmentioning

confidence: 99%

RGB-D Data-Based Action Recognition: A Review

Shaikh

Chai

2021

Sensors

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Classification of human actions is an ongoing research problem in computer vision. This review is aimed to scope current literature on data fusion and action recognition techniques and to identify gaps and future research direction. Success in producing cost-effective and portable vision-based sensors has dramatically increased the number and size of datasets. The increase in the number of action recognition datasets intersects with advances in deep learning architectures and computational support, both of which offer significant research opportunities. Naturally, each action-data modality—such as RGB, depth, skeleton, and infrared (IR)—has distinct characteristics; therefore, it is important to exploit the value of each modality for better action recognition. In this paper, we focus solely on data fusion and recognition techniques in the context of vision with an RGB-D perspective. We conclude by discussing research challenges, emerging trends, and possible future research directions.

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Section: Rgb-dmentioning

confidence: 99%

RGB-D Data-Based Action Recognition: A Review

Shaikh

Chai

2021

Sensors

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“…So, moving forward to the issues of ease of implementation and low costing, the trend of researches on WIP implementations had moved into the utilization of build-in sensors in smartphones, or recent commercial gaming devices such as Wiimote [28], Nintendo Wii Balance Board [29], [30], and Microsoft Kinect [31]- [34] for tracking the WIP motion. Using the ready-made components inside our household digital devices, such as accelerometer in Wiimote, pressure sensors in Nintendo Wii Balance Board, or the infrared camera in Kinect taking the advantage to lower down the setup requirements and therefore able to reduce the implementation cost, however, the popularity of these household digital devices is not as wide as smartphone.…”

Section: Related Workmentioning

confidence: 99%

Swing-In-Place (SIP): A Less Fatigue Walking-in-Place Method With Side-Viewing Functionality for Mobile Virtual Reality

et al. 2019

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The concept of mobile Virtual Reality (VR) headset that utilize mobile smartphone as the main display and processing device has successfully achieved a low-cost but yet feasible method to implement VR for a mobile user. However, locomotion in mobile VR is still a challenge because the ways to interact with the smartphone are limited. Walking-in-place (WIP) can be used as a hands-free input method to control locomotion inside a mobile VR environment, at the same time, enhance user experience by increasing the sense of immersion. Commonly, WIP implementation in mobile VR uses the inertia sensors of smartphone to detect WIP, thus no additional apparatus is needed. However, common WIP implementation navigates based on user's gaze direction, but in reality, we may walk and look into different direction at the same time. Besides that, fatigue caused by WIP is another important issue to be considered for prolongs usage of VR application. So, we present a less fatigue WIP gesture, swing-in-place (SIP) with a WIP implementation that allows users to travel and look in different directions during locomotion. Our implementation used only the accelerometer and gyroscope in single smartphone. Evaluation results show that SIP able to provide a similar feeling of immersion and it is less fatigue when compared with a common WIP method used in mobile VR. The side-viewing functionality is liked by the users.INDEX TERMS Mobile virtual reality, walking-in-place, locomotion technique, hands-free navigation, walking-in-place gesture, gestural interaction.

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“…IKEA, for example, introduced a MAR app – IKEA Place, enabling customers to select an item and set it up anywhere in houses (IKEA-US, 2020). The AR idea blends the sensory pleasures of traditional stores with the efficiency advantages of e-commerce sites; instead of arranging and presenting their products on actual shelves, the retailers do so digitally, using replicated locations online (Ketoma et al ., 2018). MAR has developed into a substantial consumer growth area, helped by the quickly spreading adoption of mobile devices and the capabilities of IT technology (Xu et al ., 2015).…”

Section: Introductionmentioning

confidence: 99%

Assessing user benefits and privacy concerns in utilitarian and hedonic mobile augmented reality apps

Qin,

David,

Harun

et al. 2023

IMDS

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PurposeThe application of mobile augmented reality (MAR) for enhancing user experiences and consumer patronizing intention has been the focus of recent MAR literature. Few studies examine the differences between apps. This study fills the research gap by examining how consumers assess their experiences with different MAR applications and how their decision-making process is performed, particularly in the setting of smartphones.Design/methodology/approachA web-based online survey was administered to collect data on consumers' perceptions of two different MAR apps: utilitarian and hedonic apps. Reliability and validity of the measurement scales, non-response bias and comment method bias were assessed. With the support of measurement model, partial least square (PLS) was employed to test the research hypotheses.FindingsThis study reveals that the technological attributes of augmented reality (AR) apps have significant effects on consumer perceptions of their utilitarian and hedonic benefits, including interactivity, visual quality, service quality, technicality and aesthetics. Moreover, this study shows that consumers of hedonic apps place more importance on their enjoyment with the MAR app; consumers of utilitarian apps focus more on the accrued functional values. The findings provide practical insights for retailers in AR marketing and application development in the MAR environment.Originality/valueThis study provides a comprehensive viewpoint for analyzing ongoing use and purchase intentions simultaneously in a unified theoretical framework. In addition, it compares different types of MAR apps: hedonic and utilitarian. Furthermore, it is one of the first few studies attempting to provide a comprehensive understanding of the predictive role of MAR technologies by incorporating privacy concerns into the research model based on user and gratification framework.

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Development and Evaluation of a Virtual Reality Grocery Shopping Application Using a Multi-kinect Walking-in-Place Approach

Cited by 12 publications

References 18 publications

RGB-D Data-Based Action Recognition: A Review

RGB-D Data-Based Action Recognition: A Review

Swing-In-Place (SIP): A Less Fatigue Walking-in-Place Method With Side-Viewing Functionality for Mobile Virtual Reality

Assessing user benefits and privacy concerns in utilitarian and hedonic mobile augmented reality apps

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