Exploring Large Stereoscopic 3D Dashboards for Future Automotive User Interfaces

Weidner, Florian; Broll, Wolfgang

doi:10.1007/978-3-319-93885-1_45

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…Although studies using actual vehicles have been conducted (Kuiper et al, 2018;Mourad et al, 2017), quantitative data collection using a driving simulator and eye tracker is more common. Task completion time (Angelini et al, 2016;Jeong & Liu, 2017;Li, Chen et al, 2017;Weidner & Broll, 2018) and error rate (Angelini et al, 2016;Kula et al, 2017;Li, Chen et al, 2017;Weidner & Broll, 2018) are commonly used as dependent variables in assessing performance in IVIS tasks. The IVIS touch button studies closely related to the research described in this paper have mainly used task completion time as a dependent variable (Crundall et al, 2016;Feng et al, 2018;Kim et al, 2014).…”

Section: Focusmentioning

confidence: 99%

“…IVIS work increases a driver's cognitive load and reduces performance at driving tasks (Fitch et al, 2015;Lyngsie et al, 2013;Tippey et al, 2017). Therefore, the majority of IVIS studies have measured task completion time (Angelini et al, 2016;Jeong & Liu, 2017;Weidner & Broll, 2018). However, the demands associated with visually navigating a target in a button press operation are greatest when the first button is pressed.…”

Section: First Button Pressesmentioning

confidence: 99%

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Effect of Touch Button Interface on In-Vehicle Information Systems Usability

Jung

Park

et al. 2021

International Journal of Human–Computer Interaction

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We analyzed the button input method of infotainment systems as part of the in-vehicle information system (IVIS) interface and related research. As IVIS becomes more complex and the need for drivervehicle interaction increases, so does the potential risk that accompanies driver input. In this study, we propose to analyze the influence of the touch button shape, background, button and text color combination, and the presence/absence of a button border on the usability of the button input operation, which has not been studied before. Thus, participants were made to perform a button press operation in various combined conditions in a driving simulator. For keypads of the same diagonal length, we recommend a square-shaped touch keypad. In addition, the use of an edge and a specific color combination has a positive effect on the overall task performance and user satisfaction. These results are expected to be useful in the development of effective IVIS information display and input.

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Section: Focusmentioning

confidence: 99%

Section: First Button Pressesmentioning

confidence: 99%

Effect of Touch Button Interface on In-Vehicle Information Systems Usability

Jung

Park

et al. 2021

International Journal of Human–Computer Interaction

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“…It has also been shown that S3D can increase perceived urgency, and information structure of instrument clusters when used as a design element [9]. Results of Weidner et al [70] further indicate that S3D visualizations as notifications and highlighting elements do not impair driving or secondary task performance. In addition to that, Dettmann et al [17] found that using autostereoscopic 3D displays for the analysis of traffic situations leads to better perception and situational assessment compared with 2D displays.…”

Section: In-vehicle Stereoscopic 3dmentioning

confidence: 99%

Stereoscopic 3D dashboards

Weidner

Broll

2020

Pers Ubiquit Comput

Self Cite

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When operating a conditionally automated vehicle, humans occasionally have to take over control. If the driver is out of the loop, a certain amount of time is necessary to gain situation awareness. This work evaluates the potential of stereoscopic 3D (S3D) dashboards for presenting smart S3D takeover requests (TORs) to support situation assessment. In a driving simulator study with a 4 × 2 between-within design, we presented 3 smart TORs showing the current traffic situation and a baseline TOR in 2D and S3D to 52 participants doing the n-back task. We further investigate if non-standard locations affect the results. Takeover performance indicates that participants looked at and processed the TORs' visual information and by that, could perform more safe takeovers. S3D warnings in general, as well as warnings appearing at the participants' focus of attention and warnings at the instrument cluster, performed best. We conclude that visual warnings, presented on an S3D dashboard, can be a valid option to support takeover while not increasing workload. We further discuss participants' gaze behavior in the context of visual warnings for automotive user interfaces.

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“…Weidner and Broll showed that the use of a large S3D has no statistical effect on driving performance; it neither improves nor worsens task performance or simulator sickness [4]. They also showed; visual warnings on S3D for semi-autonomous driving supports take-over scenarios while not increasing the workload [5].…”

Section: Introductionmentioning

confidence: 99%