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- W2757623903 abstract "This chapter puts forward an argument that human activity can be expressed in a language, a special language with its own phonemes, its own morphemes (words), and its own syntax. This language can be inferred using machine learning techniques applied to gargantuan amounts of data collected by cameras or other sensor networks. Developing sensory-motor language creates bridges among several disciplines. It also provides a hierarchical structure that can lead to a successful industry. This chapter points to a research program and the application of its early realizations to a few domains. User interface designers today focus on nontraditional interfaces that make use of each of the five human senses. One of the major goals of human-centric interfaces is for humans to interact with robots or other machines as they do with other humans. Human-centric interfaces not only promise to dominate future in many applications, but might also begin a new phase in artificial intelligence by studying meaning through the utilization of both sensorimotor and symbolic representations, using machine learning techniques on the gargantuan amounts of data collected." @default.
- W2757623903 created "2017-10-06" @default.
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- W2757623903 date "2010-01-01" @default.
- W2757623903 modified "2023-10-16" @default.
- W2757623903 title "The Language of Action" @default.
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- W2757623903 doi "https://doi.org/10.1016/b978-0-12-374708-2.00005-x" @default.
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