=Paper=
{{Paper
|id=Vol-3300/keynote_1
|storemode=property
|title=Fluid and Cooperative HMI for Vehicle – Pedestrian Interactions
|pdfUrl=https://ceur-ws.org/Vol-3300/keynote_1.pdf
|volume=Vol-3300
|authors=Paolo Pretto
|dblpUrl=https://dblp.org/rec/conf/hci-si/Pretto22
}}
==Fluid and Cooperative HMI for Vehicle – Pedestrian Interactions==
<pdf width="1500px">https://ceur-ws.org/Vol-3300/keynote_1.pdf</pdf>
<pre>
Fluid and Cooperative HMI for Vehicle – Pedestrian Interactions
Paolo Pretto 1
1
    Virtual Vehicle Research Center, Inffeldgasse 21a, 8010, Graz, Austria

                 Abstract
                 In most current cars, human–machine interfaces (HMI) have limited capabilities of sensing and
                 predicting drivers’ and pedestrians’ behavior. Therefore, it is possible that drivers are presented
                 with information that is unsuitable for the situation, which results in low usability and increased
                 risk of distraction. Furthermore, the exchange of information between driver and other road
                 users is currently limited, which often results in uncertain and unsafe situations for vulnerable
                 road users. Driving automation only exacerbates the above-mentioned problem, as drivers may
                 be disengaged from the driving task and unaware of dangers, while pedestrian are unable to
                 estimate the intention of vehicles. Overall, this can lead to pedestrians being exposed to (more)
                 dangers and drivers being presented with (more) distracting warnings. Internal adaptive HMI
                 and external HMI are an attempt to address these issues. However, research and standardization
                 efforts are still limited.

                 A series of publicly-funded projects (Horizon 2020 – HADRIAN and Horizon Europe –
                 HEIDI) aims to develop a fluid, collaborative HMI that holistically integrates internal and
                 external adaptive HMI solutions. Initially, the features of fluid interaction systems are designed
                 and evaluated to fulfill driver’s needs and roles in automated vehicles. Then, a fluid and
                 collaborative HMI effectively gathers and synchronizes driver’s data and data from other road
                 users to enable optimal joint action by all stakeholders. The coordination logic conforms to the
                 principle of Foresight Safety®, i.e., the human-like ability to anticipate hazards and proactively
                 avoid dangerous situations. In this way, fluid and cooperative HMI solutions guarantee that all
                 road users have the same understanding of the situation and ensure safe interaction between
                 vehicles and vulnerable road users. Fluid internal and external interfaces coordinate
                 information and joint-action recommendations addressing all user categories, while adapting
                 to their respective states and conditions like, e.g., distracted drivers and older pedestrians, to
                 optimize efficiency, comfort and safety..

                   1




Human-Computer Interaction Slovenia 2022, November 29, 2022, Ljubljana, Slovenia
EMAIL: paolo.pretto@v2c2.at

              ©️ 2022 Copyright for this paper by its authors.
              Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
              CEUR Workshop Proceedings (CEUR-WS.org)

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