levels not sufce without a cognitive statement, and vice versa [23].Sometimes human empathy is declining into a more apathetic approach, especially in cases of an emergency. Especially in cases when other people are present, individuals do not ofer help, caused by the lack of feeling responsible and emotional attachment toward a victim. Sometimes they feel overwhelmed and afraid that they might do something wrong or worsen possible injuries.Situations such as bystanders ignoring accidents and subsequently injured victims are becoming way too common, and using mobile apps such as Waze [7] or Google maps, the driver navigates away from an accident to avoid these types of encounters. This leads not only to an apathetic approach of an accident, as victims can be considered as a nuisance rather than someone that needs help, but victims would be completely by themselves in these situations, and that is judgmental for the situation, as every lost minute could be crucial for someone's life.One possible solution for reducing bystander efects is through the means of an in-vehicle information system that supports the user when helping a car accident victim. We decided to design and implement a voice assistance system that helps drivers in such situations and research this approach in a simulator based user study. The guiding research question was: RQ: How can extended frst-aid knowledge available in a voice assistance system help bystanders empathize with victims of car accidents? Additionally, we were interested in the following sub questions: Sub-RQ1: How does sharing information about a nearby accident afect another person's behavior/emotions? Sub-RQ2: How can the communication system provide knowledge to reduce bystander cognitive dissonance? The design of AutoMate followed the assumption that proactively asking for a bystander from the perspective of the victim to come and help would create a more efective impact than merely displaying information. AutoMate informs drivers (bystanders) that an accident occurred and how far it was. With our research we provide an approach to how future frst-aid communication systems in cars could be designed.
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