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People often rank and order data items as a vital part of making decisions. Multi-attribute ranking systems are a common tool used to make such data-driven decisions. These systems are often table-based tools that can produce rankings based on numerical weights that a user assigns to each attribute, where the weight represents how important the user believes an attribute is to their decision. These systems assume that users are able to quantify their conceptual understanding of how important particular attributes are; however, this is not always the case.

How can we use mixed reality technology to make the computer-aided design and creation of 3D objects more efficient for engineers and product designers?

Mental illness such as psychosis and schizophrenia are serious public health concerns. However, timely detection of an episode of psychosis is often difficult due to several reasons such as social stigma, lack of mental health awareness and literacy, and the retrospective nature of clinical therapy. We examine the potential of leveraging social media disclosures as a new kind of lens in characterizing and predicting experiences leading up to a psychotic episode.