2020
DOI: 10.3390/info11010054
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Does Information on Automated Driving Functions and the Way of Presenting It before Activation Influence Users’ Behavior and Perception of the System?

Abstract: Information on automated driving functions when automation is not activated but is available have not been investigated thus far. As the possibility of conducting non-driving related activities (NDRAs) is one of the most important aspects when it comes to perceived usefulness of automated cars and many NDRAs are time-dependent, users should know the period for which automation is available, even when not activated. This article presents a study (N = 33) investigating the effects of displaying the availability … Show more

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Cited by 9 publications
(12 citation statements)
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References 42 publications
(53 reference statements)
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“…With limited availability comes the possibility of interrupting an NDRA, thus potentially causing negative effects such as annoyance and higher workload (see Janssen et al [3] for an overview). In line with this, Danner et al [4] and Hecht et al [5] identified information about the remaining automated driving time as a main user need, as different activities were found to require different time budgets and time budget information may help users to develop a correct mental model.…”
Section: Introductionmentioning
confidence: 88%
“…With limited availability comes the possibility of interrupting an NDRA, thus potentially causing negative effects such as annoyance and higher workload (see Janssen et al [3] for an overview). In line with this, Danner et al [4] and Hecht et al [5] identified information about the remaining automated driving time as a main user need, as different activities were found to require different time budgets and time budget information may help users to develop a correct mental model.…”
Section: Introductionmentioning
confidence: 88%
“…Qualitative data is gained through questionnaires and interviews. In AD, AVI and HRI questionnaires [8, 14, 17, 23, 27, 29, 30, 36, 44, 45, 52-55, 73, 87, 92, 94] and post test interviews (mostly semi structured) [17,29,32,44,49,55,61,69,71,85,88,89,92] are utilized. It is remarkable that we only found one long term naturalistic study with respect to mode awareness, which was a six months study for Tesla drivers [26].…”
Section: Evaluation Methods (Ad Hri Av)mentioning
confidence: 99%
“…Apart from text and graphical elements, eye catching elements are used to draw the attention of the user, especially in critical situations. These are flashing of icons or light [15,19,32,37,79,86], animation of visuals [53], pop-up displays [17] and exclamation mark at the of sentences [2,36,44]. Also change of color, especially red to draw immediate attention [61,65] is a common approach to draw attention in all three domains [2,3,13,26,27,33,36,44,89].…”
Section: Eye Catching Elements (Ad Hri Av)mentioning
confidence: 99%
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“…Nevertheless, information needs regarding ADS during manual driving have hardly been investigated so far. One exploratory study (Danner et al, 2020b) consisting of a focus group discussion with automated driving experts and a driving simulator study with laypersons collected information on this topic, leading to the results that future users might need information on the availability duration of the ADS when it is available but still not activated. Furthermore, when the ADS is not available, information on the reasons for non-availability and the duration until the ADS is available might be helpful.…”
Section: Introductionmentioning
confidence: 99%