Jingjing Ke
Jingjing as an interaction designer, she recent focus has been on exploring the complex and evolving relationship between humans and intelligent machines, particularly in the context of autonomous driving. Throughout the year, she consider the role of autonomous driving as an assistant, security and traffic accident/congestion solver and explore what the future may hold such as ethical problems on roads.
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Imitating humans pushes machines to become more intelligent, on top of process visual information the algorithm makes them seem to have the ability to think. After realising the technical capability of the car to see and understand, engineers have programmed machine algorithms to obey basic traffic rules and to take on the obligation to drive safely while keeping traffic functioning. And then they made it possible to drive independently, guided by map navigation. At this point then we have to think critically about whether it should really be given the ability to make decisions.
When driving, humans rely on their past experience to react quickly and prevent accidents. However, with automated driving, decisions can be predetermined and consequences can be analyzed. This raises ethical questions, such as the “trolley problem”, for extreme cases. In my honors year, I develop interactive works to observe public attitudes towards these issues in two stages.
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Inspired by Domestic Data Streamers, this work allow audience using thread to wrap the answer around the nails in the wall for a series of questions.
Consider the role autonomous driving as an assistant, security and traffic accident/congestion solver and explore what the future may hold such as ethical problems in roads. Would you like to take a ride without human driver? Are you willing to share the road with intelligent machines? The physical interactive polling stream system can provide valuable insights into public opinions and perceptions on it and the decisions we need to made. Visitors are invited to add their opinion on wall.
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In the second stage of project development, I have incorporated additional interactive techniques. The centerpiece is an attractor screen featuring a car driving along an endless looping road. Surrounding the car are numerous traffic lights, symbolizing the vast amount of traffic information that requires constant processing. The juxtaposition of the vibrant sun and the cityscape creates a visually striking contrast, evoking a paradoxical environment that is both familiar and thought-provoking.
To facilitate user engagement, I integrated Arduino with connected physical controls, enabling participants to easily interact with the artwork through simple touch interactions. Retaining the layout and height from the WIP show, users are presented with a set of questions and prompted to choose from three to five options for each question. Their responses are recorded in real-time using Processing, allowing for visualization and projection display.
Through this artistic exploration, my aim is to foster a broader dialogue on the evolving dynamics between humans and machines in the context of autonomous driving. By encouraging public reflection and engagement, I hope to contribute to a deeper understanding of the complexities and ethical considerations surrounding this transformative technology.
