Abstract
This paper presents an efficient approach for understanding the formation of associations between random sentences spoken by humans over a period of time. The associations formed are mathematical relations (A X B) where the former is called as the “action” and the latter as the “reaction”. The voice-to-text converted file is the input to the algorithm. After processing, the algorithm devises a map (Actions X Reactions). The algorithm stops only after the relation becomes surjective. The most important improvement over the previous techniques is the automatic adaptation of the machine to the ever-changing grammar of the user in real-time.
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Agarwal, A., Banerjee, R., Pandey, V., Charaya, R. (2011). An Optimal Human Adaptive Algorithm to Find Action - Reaction Word-Pairs. In: Stephanidis, C. (eds) HCI International 2011 – Posters’ Extended Abstracts. HCI 2011. Communications in Computer and Information Science, vol 173. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22098-2_51
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DOI: https://doi.org/10.1007/978-3-642-22098-2_51
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