ASU Scholarship Showcase

Much of the richness of human thought is supported by people’s intuitive theories—mental frameworks capturing the perceived structure of the world. But intuitive theories can sometimes contain and reinforce misconceptions, such as misconceptions about vaccine safety that discourage vaccination. We argue that addressing misconceptions requires awareness of the broader conceptual contexts in which they are embedded. Here, we developed a cognitive model of the intuitive theory surrounding vaccination decisions. Using this model, we were able to make accurate predictions about how people’s beliefs would be revised in light of educational interventions, design an effective new intervention encouraging vaccination, and understand how these beliefs were affected by real-world events. This approach provides the foundation for richer understandings of intuitive theories and belief revision more broadly.

As speculative aesthetics, what might feminist ontologies and artist imaginings do for rethinking the "real" assemblages and infrastructures of our quotidian experience, particularly with respect to those that standardize aggressive capital agendas, maximum industrial output and extreme waste? This paper draws connections between female artists' image and event-making, speculative design and tacit knowledge, as sensing tools for technological possibilities at a time when energy dependency, in the form of electricity, is the greatest generator of fossil fuel waste and pollution. I use Remedios Varo's paintings from the mid 1930-1960s as a springboard to think about sustainability and ecological design from an embodied, fem-magic and deep-time perspective, and I draw from other female artists whose work explores technologies and energy, such as Alice Aycock, Tania Candiani, Cassie Meador and Hito Steyerl. An analysis of these artists' works allows me to explore the ways that feminist imaginings function as an ontological orientation that shifts power away from contemporary infrastructures, to decolonize and re-feminize electrical possibilities as alternative ways of engaging with and sensing assemblages.

The following literature review talks about the driving simulation platforms commercially available for automated vehicle development. It is also a comparison of the simulation packages, their advantages and drawbacks, and an insight into what is missing in the simulators of today. Automated vehicle safety and reliability are the important requirements when developing automated vehicles. These requirements are guaranteed by extensive functional and performance tests. Conducting these tests on real vehicles is extremely expensive and time consuming, and thus it is necessary to develop a simulation platform to perform these tasks. In most cases, it is difficult for system or algorithm developers in the testing process to evaluate the massive design space. To test any algorithm change, developers need to test a functional module alone, and later setting up a whole physical testing environment that consists of several other modules, leading to enormous testing costs. Fortunately, many of the testing tasks can be accomplished by utilizing simulator. The key to the success of a simulation is how accurately the simulator can simulate the physical reality.