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Testing Usability of Different Implementations for VR Interaction Methods

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Advances in Computational Collective Intelligence (ICCCI 2024)

Abstract

This paper presents a study analyzing the differences between various ways in which people can interact with objects in virtual reality (VR). The paper mainly focuses on how useful these methods are and what experiences they offer to the user. The main goal is to find solutions to problems related to these methods of interaction and to evaluate the effectiveness of currently available solutions. The study analyzes twelve key interaction methods in VR, such as movement, rotation, resizing, throwing, pushing, pulling, pressing, typing, pointing, selecting, archery, and hitting one object with another. The evaluation criteria for these methods include their utility, perceived reality they offer, and overall user experience. The study employs a methodical approach in which participants must try out different versions of these interaction methods in the VR environment and then complete a detailed questionnaire about their experiences. This study focuses specifically on the experiences offered by VR headsets, such as the HTC Vive with haptic controllers, while ignoring non-standard controllers or other non-standard devices. In this way, it provides a comprehensive overview of the current state of VR technology and its potential applications for the average user, focusing on key aspects that could contribute to the development of even more immersive and engaging virtual reality environments.

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Correspondence to Marek Kopel .

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Kopel, M., Walczyński, M., Wyrostek, P. (2024). Testing Usability of Different Implementations for VR Interaction Methods. In: Nguyen, NT., et al. Advances in Computational Collective Intelligence. ICCCI 2024. Communications in Computer and Information Science, vol 2166. Springer, Cham. https://doi.org/10.1007/978-3-031-70259-4_22

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  • DOI: https://doi.org/10.1007/978-3-031-70259-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-70258-7

  • Online ISBN: 978-3-031-70259-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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