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Proposal of Input Screen Design in Eye Glance Input Interface

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HCI International 2022 Posters (HCII 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1581))

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Abstract

Text input on smart devices with small screens has problems such as erroneous input due to the small size of each button or a small information presentation screen even if the input screen is large. To solve these problems, a previous study investigated a gaze input interface using the Eye Glance input method as an input method that does not depend on the touch panel area. Input is performed by quickly moving the line of sight back and forth from the center to the four corners of the smartphone. The purpose of this study is to propose an efficient screen design for text input using the Eye Glance input interface. Hereby, the display area is reduced by centering the input screen with a smaller size in accordance with the input operation, and at the same time, it is less likely to cause erroneous input due to unintentional eye movement. In addition, the available input options are arranged to match the input movement of the eye. Further, back taps and winks are considered for switching between input options to achieve a more intuitive input design. In the experiment, data were obtained by asking subjects to enter text using the proposed input screen design. Data analysis results showed that the interface is less prone to error and requires less time to input data, indicating its practicality. In addition, since it is possible to distinguish which eye is performing the winking, it is suggested that this could be used to create even more efficient input screen designs.

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References

  1. Saiga, Y., Matsumoto, Y., Mito, K., Mizuno, T., Itakura, N.: A proposal of eye glance input interface using smartphone built-in camera. IEEJ Trans. Fundam. Mater. 141(12), 650–656 (2021)

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Correspondence to Shodai Yada .

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Yada, S., Matsumoto, Y., Mizuno, T., Mito, K., Itakura, N. (2022). Proposal of Input Screen Design in Eye Glance Input Interface. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2022 Posters. HCII 2022. Communications in Computer and Information Science, vol 1581. Springer, Cham. https://doi.org/10.1007/978-3-031-06388-6_11

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  • DOI: https://doi.org/10.1007/978-3-031-06388-6_11

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06387-9

  • Online ISBN: 978-3-031-06388-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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