Scipediacontent: Scipediacontent moved page Draft Content 733997986 to 238,295pu

2021-03-23T03:46:35Z

Scipediacontent moved page Draft Content 733997986 to 238,295pu

Scipediacontent: Created page with " == Abstract == With self-driving vehicles (SDVs), pedestrians can no longer rely on a human driver. Previous research suggests that pedestrians may benefit from an external..."

2021-03-23T03:44:37Z

Created page with " == Abstract == With self-driving vehicles (SDVs), pedestrians can no longer rely on a human driver. Previous research suggests that pedestrians may benefit from an external..."

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== Abstract ==

With self-driving vehicles (SDVs), pedestrians can no longer rely on a human driver. Previous research suggests that pedestrians may benefit from an external Human–Machine Interface (eHMI) displaying information to surrounding traffic participants. This paper introduces a natural methodology to compare eHMI concepts from a pedestrian’s viewpoint. To measure eHMI effects on traffic flow, previous video-based studies instructed participants to indicate their crossing decision with interfering data collection devices, such as pressing a button or slider. We developed a quantifiable concept that allows participants to naturally step off a sidewalk to cross the street. Hidden force-sensitive resistor sensors recorded their crossing onset time (COT) in response to real-life videos of approaching vehicles in an immersive crosswalk simulation environment. We validated our method with an initial study of N = 34 pedestrians by showing (1) that it is able to detect significant eHMI effects on COT as well as subjective measures of perceived safety and user experience. The approach is further validated by (2) replicating the findings of a test track study and (3) participants’ reports that it felt natural to take a step forward to indicate their street crossing decision. We discuss the benefits and limitations of our method with regard to related approaches.

Document type: Article

== Full document ==
<pdf>Media:Draft_Content_733997986-beopen1437-1689-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://www.mdpi.com/2078-2489/11/7/360/pdf https://www.mdpi.com/2078-2489/11/7/360/pdf] under the license https://creativecommons.org/licenses/by

* [https://www.mdpi.com/2078-2489/11/7/360 https://www.mdpi.com/2078-2489/11/7/360],
: [https://dblp.uni-trier.de/db/journals/information/information11.html#FaasMKB20 https://dblp.uni-trier.de/db/journals/information/information11.html#FaasMKB20],
: [https://doi.org/10.3390/info11070360 https://doi.org/10.3390/info11070360],
: [https://academic.microsoft.com/#/detail/3041859452 https://academic.microsoft.com/#/detail/3041859452] under the license cc-by

* [https://www.mdpi.com/2078-2489/11/7/360 https://www.mdpi.com/2078-2489/11/7/360],
: [https://doaj.org/toc/2078-2489 https://doaj.org/toc/2078-2489]

* [https://www.mdpi.com/2078-2489/11/7/360/pdf https://www.mdpi.com/2078-2489/11/7/360/pdf],
: [http://dx.doi.org/10.3390/info11070360 http://dx.doi.org/10.3390/info11070360]

under the license https://creativecommons.org/licenses/by/4.0/

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Scipediacontent: Scipediacontent moved page Draft Content 733997986 to 238,295pu

Scipediacontent: Created page with " == Abstract == With self-driving vehicles (SDVs), pedestrians can no longer rely on a human driver. Previous research suggests that pedestrians may benefit from an external..."