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Computationally Efficient Imprecise Uncertainty Propagation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Modeling uncertainty through probabilistic representation in engineering design is common and important to decision making that considers risk. However, representations of uncertainty often ignore elements of “imprecision†...
Application of Feature-Learning Methods Toward Product Usage Context Identification and Comfort Prediction
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Usage context is considered a critical driving factor for customers' product choices. In addition, physical use of a product (i.e., user-product interaction) dictates a number of customer perceptions (e.g., level of comfort). ...
Cyber-Empathic Design: A Data-Driven Framework for Product Design
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: A critical task in product design is mapping information from consumer to design space. Currently, this process largely depends on designers identifying and mapping psychological and consumer level factors to engineered ...