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- W2912897143 abstract "This paper introduces and exemplifies an entropy-based approach to automatic detection of critical changes in flow of human-machine interaction. The underlying intuition is that a critical change is a local phenomenon associated with a dialogue fragment that can be detected by examining patterns of interactional entropy by means of segmentation and thresholding. In terms of units of analysis, the notion of (normalized) interactional entropy is introduced at the level of dialogue act types. In order to account for the sequential order of dialogue acts in a given dialogue fragment, interactional entropy is re-evaluated with each ensuing dialogue act. The proposed approach is validated for thirty-six dialogues between children and a conversational human-like robot, recorded in therapeutic settings. Finally, the generalizability of the proposed approach is discussed." @default.
- W2912897143 created "2019-02-21" @default.
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- W2912897143 date "2018-08-01" @default.
- W2912897143 modified "2023-10-14" @default.
- W2912897143 title "An Entropy-Based Approach to Automatic Detection of Critical Changes in Human-Machine Interaction" @default.
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- W2912897143 doi "https://doi.org/10.1109/coginfocom.2018.8639869" @default.
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