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LeARn Flags: Assessment of the learning curve of inexperienced users with gesture interactions with hands-free augmented reality

Published: 02 November 2023 Publication History

Abstract

Hands-free augmented reality (HAR) is intrinsically different from mobile augmented reality (MAR), as the interactions with the digital or holographic content happen with HAR in 3D space. For novel users, this method of interaction can be difficult to learn, as learned affordances for interacting with digital content are mostly based on screen interactions by touch or keyboard and mouse. Available HAR devices, such as HoloLens 2 and Meta Quest Pro, are still quite expensive and unobtainable for consumers, which is why most people have no prior experience with them. In this work in progress, we use a game prototype: LeARn Flags for Meta Quest Pro to observe differences between experienced (N=5) and inexperienced (N=5) users with HAR. The learning curve is observable in our findings, which suggests that this method with some improvements is viable for the assessment of the training requirements for novel users. Based on our findings, we suggest that a 4-5-minute tutorial phase is required for pinch gesture for novel users.

References

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Dimitris Chatzopoulos, Carlos Bermejo, Zhanpeng Huang, and Pan Hui. 2017. Mobile augmented reality survey: From where we are to where we go. Ieee Access 5 (2017), 6917–6950.
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Aasim Khurshid, Ricardo Grunitzki, Roberto Giordano Estrada Leyva, Fabiano Marinho, and Bruno Matthaus Maia Souto Orlando. 2022. Hand Gesture Recognition for User Interaction in Augmented Reality (AR) Experience. In International Conference on Human-Computer Interaction. Springer, 306–316.
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Cited By

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  • (2024)Preference in Voice Commands and Gesture Controls With Hands-Free Augmented Reality With Novel UsersIEEE Pervasive Computing10.1109/MPRV.2024.336454123:1(18-26)Online publication date: 4-Mar-2024

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        Mindtrek '23: Proceedings of the 26th International Academic Mindtrek Conference
        October 2023
        381 pages
        ISBN:9798400708749
        DOI:10.1145/3616961
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 02 November 2023

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        Author Tags

        1. gesture input
        2. hands-free augmented reality
        3. learning curve analysis
        4. pilot study
        5. video pass-through augmented reality

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        • (2024)Preference in Voice Commands and Gesture Controls With Hands-Free Augmented Reality With Novel UsersIEEE Pervasive Computing10.1109/MPRV.2024.336454123:1(18-26)Online publication date: 4-Mar-2024

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