US$ 299.99

34 pages, 2 charts, 7 images, 7 graphs, 138 references
Abstract: This paper describes one methodology and a technology designed to overcome a specific deficit in current human-machine interfaces, particularly as they apply to the world of online information exchange but applicable to all human-machine interactions; the determination of human age and gender based entirely on human interaction with the machine.
Overcoming this deficit and related challenges would allow machine systems to determine individuality as a function of several factors. This paper focuses on neurologic age38 and gender.20,60 The technology described in this paper determines these factors by analyzing psychomotor behavioral cues5,22-24,26,40,61,84,88,98,118,137 that have been collectively recognized as indicative of a given user's non-conscious, 1-4,17,59,62,63,73-76,80,94,101,105,110,113, 121,123,125 cognitive, behavioral/effective and motivational processes and methodologies (collectively called "the {C,B/e,M} matrix"39,41-43,45-48,51,55-57,100). The end result of these determinations is that a given individual is a) known and b) demonstrates a {C,B/e,M} state of existence that is itself recognized as in keeping with this known individual's history, regardless of any boundary issues while being able to respond to both in-bounds and out-of-bounds responses to the immediate interaction.
Such machine capabilities are currently in use in web-based systems and are intended for a much more diverse employment.