Abstract
Road and highway infrastructures are being transformed in anticipation of self-driving vehicles. During the transition to fully autonomous road networks people and driverless cars will interact with each other in mixed traffic situations. Vehicles are currently equipped with two types of communication devices one auditory (a horn) and the other visual (signalling lights). In many instances, human drivers use these devices in combination with embodied interaction such as eye contact and gesture when communicating with other road users. Hence, horn and signalling devices currently in use may not be enough to communicate with others in traffic settings; especially when driverless vehicles become responsible for the main driving activity. Driverless vehicles require new interaction types that support Human-AV interaction in an easy to understand and intuitive way. With the transformation of cars into computers new opportunities for research present themselves to the HCI community.
Highlights
Autonomous Vehicle (AV) research and development is receiving a high-level attention both in industry and academia
Whilst much of the research in this area has been dedicated to tackling technical issues such as vehicle-to-vehicle and vehicle-to-infrastructure communication there has been less research that examines the interactions between AVs and other road users such as cyclists, pedestrians, and human drivers (Parkin et al 2016)
When a pedestrian moves forward to cross the road; how will an AV indicate that it was seen them and that it will stop for the person to cross? Or when a driverless vehicle prepares to move across an intersection; how will it initate, maintain, and finalise a negotiation process with a human driver?
Summary
Autonomous Vehicle (AV) research and development is receiving a high-level attention both in industry and academia. Some mobilities research has focused on the microanalysis of interaction between people, travel and transportation (D'Andrea et al, 2011) with investigations of real-time behaviour and communication practices between road users in real-world settings. HCI researchers have initiated research in Human-AV interaction This includes a traditional psychological-orientation that examines driver-vehicle interaction, dashboard design, and incar interaction (Meschtscherjakov et al, 2016); and sociological-orientations that focus on how drivers and other road users communicate with, anticipate the intentions, and interpret the behaviour of AVs (Brown & Laurier, 2017; Eden et al, 2017). Transforming Cars into Computers: Interdisciplinary Opportunities for HCI Grace Eden the design of novel interfaces that support intuitive Human-AV interactions
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