Exploring Data Input Problems in Mixed Reality Environments: Proposal and Evaluation of Natural Interaction Techniques

Autor: Jingzhe Zhang, Tiange Chen, Wenjie Gong, Jiayue Liu, Jiangjie Chen
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Future Internet, Vol 16, Iss 5, p 150 (2024)
Druh dokumentu: article
ISSN: 16050150
1999-5903
DOI: 10.3390/fi16050150
Popis: Data input within mixed reality environments poses significant interaction challenges, notably in immersive visual analytics applications. This study assesses five numerical input techniques: three benchmark methods (Touch-Slider, Keyboard, Pinch-Slider) and two innovative multimodal techniques (Bimanual Scaling, Gesture and Voice). An experimental design was employed to compare these techniques’ input efficiency, accuracy, and user experience across varying precision and distance conditions. The findings reveal that multimodal techniques surpass slider methods in input efficiency yet are comparable to keyboards; the voice method excels in reducing cognitive load but falls short in accuracy; and the scaling method marginally leads in user satisfaction but imposes a higher physical load. Furthermore, this study outlines these techniques’ pros and cons and offers design guidelines and future research directions.
Databáze: Directory of Open Access Journals
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