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Eyes on a Car: an Interface Design for Communication between an Autonomous Car and a Pedestrian

 
Authors: Chia-Ming Chang, Koki Toda, Daisuke Sakamoto and Takeo Igarashi
Category: Interface Design / 2017
Organisation: IGARASHI Lab / The University of Tokyo


       
    ● The 9th ACM International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI  
        2017), Oldenburg, Germany, 24-27 September 2017

    ● Red Dot Award: Design Concept 2017, Eyes on a Car, Category: Interaction and Mobility, Shortlisted, 2017


Self-driving technologies have been increasingly developed and tested in recent years (e.g., Volvo's and Google's self-driving cars). However, only a limited number of investigations have so far been conducted into communication between self-driving cars and pedestrians. For example, when a pedestrian is about to cross a street, that pedestrian needs to know the intension of the approaching self-driving car. In the present study, we designed a novel interface known as "Eyes on a Car" to address this problem. We added eyes onto a car so as to establish eye contact communication between that car and pedestrians. The car looks at the pedestrian in order to indicate its intention to stop. This novel interface design was evaluated via a virtual reality (VR) simulated environment featuring a street-crossing scenario. The evaluation results show that pedestrians can make the correct street-crossing decision more quickly if the approaching car has the novel interface "eyes" than in the case of normal cars. In addition, the results show that pedestrians feel safer with regard to crossing a street if the approaching car has eyes and if the eyes look at them.


User Evaluation via VR


Paper [PDF]
 

 

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