How it works vs. proof it works: Understanding how the technology functions and its full capabilities was paramount to participants. At the same time, seeing and experiencing the vehicle as it sensed and responded to what was happening around them – proving it works – helped them gain confidence, highlighting the importance of transparent HMI systems.
Tell me vs. listen to me: While participants were comforted by the car’s human “voice,” many wondered if they could use their own voice to communicate with the car. Being able to converse and exchange information as they would with a driver was seen as an advantage, especially if needing to make a detour, change destination or account for changing weather conditions.
Rule-following machines vs. human interpretation of the rules: While safety was the No. 1 factor for trust among participants, there were nuances in their interpretation of safety. Some participants acknowledged that their behavior as a driver was not always safe or by the book. They talked about speeding on empty roads, eating while driving and not stopping when required. Participants acknowledged that the struggle between letting go of those behaviors and accepting new ones based on system control was a challenge they must adapt to.
Intel will continue to explore trust as a core element of vehicle system architecture and design. We welcome you to follow along as we share our journey in this area. For more details, hear an explanation of our study’s topline findings in our autonomous driving webcast replay or from our YouTube video.
View source version on businesswire.com: http://www.businesswire.com/news/home/20170824005291/en/
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