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- W2747484188 abstract "Can a product that reads the user's mind behave more efficiently and eventually train the user to conserve? Here, as a first step to answering this big question, we present a design method for telepathic products applied to the case study of a kitchen faucet. The case study is used to illustrate the different steps of the design method: (A) Build cognitive empathy and define cognitive styles; (B) Define design requirements, articulate variables that will control performance, understand limitations and design physical product; (C) Design the machine learning algorithm, inputs, and outputs; and (D) Integration and refinement. This work-in-progress report highlights the intricacies of applying adaptive machine-learning behavior to physical products performance in the real world rather than to a website or device such as a smart phone. Interesting findings include that automatic response, typically associated with websites and phones, is not possible with plumbing as water cannot be instantly at the right temperature; and that cognitive styles indeed manifest in dish washing observations, with distinctly different styles in terms of patience, temperature sensitivity, and laziness." @default.
- W2747484188 created "2017-08-31" @default.
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- W2747484188 date "2017-01-01" @default.
- W2747484188 modified "2023-09-23" @default.
- W2747484188 title "Telepathic product design for water conservation" @default.
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