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Evaluating Stereoscopic 3D for Automotive User Interfaces in a Real-World Driving Study

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Published:18 April 2015Publication History

ABSTRACT

This paper reports on the use of in-car 3D displays in a real-world driving scenario. Today, stereoscopic displays are becoming ubiquitous in many domains such as mobile phones or TVs. Instead of using 3D for entertainment, we explore the 3D effect as a mean to spatially structure user interface (UI) elements. To evaluate potentials and drawbacks of in-car 3D displays we mounted an autostereoscopic display as instrument cluster in a vehicle and conducted a real-world driving study with 15 experts in automotive UI design. The results show that the 3D effect increases the perceived quality of the UI and enhances the presentation of spatial information (e.g., navigation cues) compared to 2D. However, the effect should be used well-considered to avoid spatial clutter which can increase the system's complexity.

References

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  1. Evaluating Stereoscopic 3D for Automotive User Interfaces in a Real-World Driving Study

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      • Published in

        cover image ACM Conferences
        CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
        April 2015
        2546 pages
        ISBN:9781450331463
        DOI:10.1145/2702613

        Copyright © 2015 Owner/Author

        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: 18 April 2015

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        Qualifiers

        • Work in Progress

        Acceptance Rates

        CHI EA '15 Paper Acceptance Rate379of1,520submissions,25%Overall Acceptance Rate6,164of23,696submissions,26%

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