Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9187
Title: Do (and say) as I say: Linguistic adaptation in human-computer dialogs
Authors: Kolouri, T
Lauria, S
Macredie, R
Keywords: Dialog systems;Vocabulary;Sentence structure;Computer systems;Communication
Issue Date: 2014
Publisher: Taylor & Francis
Citation: Human-Computer Interaction, 2016, 31(1): pp. 59 - 95
Abstract: There is strong research evidence showing that people naturally align to each other’s vocabulary, sentence structure, and acoustic features in dialog, yet little is known about how the alignment mechanism operates in the interaction between users and computer systems let alone how it may be exploited to improve the efficiency of the interaction. This article provides an account of lexical alignment in human–computer dialogs, based on empirical data collected in a simulated human–computer interaction scenario. The results indicate that alignment is present, resulting in the gradual reduction and stabilization of the vocabulary-in-use, and that it is also reciprocal. Further, the results suggest that when system and user errors occur, the development of alignment is temporarily disrupted and users tend to introduce novel words to the dialog. The results also indicate that alignment in human–computer interaction may have a strong strategic component and is used as a resource to compensate for less optimal (visually impoverished) interaction conditions. Moreover, lower alignment is associated with less successful interaction, as measured by user perceptions. The article distills the results of the study into design recommendations for human–computer dialog systems and uses them to outline a model of dialog management that supports and exploits alignment through mechanisms for in-use adaptation of the system’s grammar and lexicon.
Description: © Theodora Koulouri, Stanislao Lauria, and Robert D. Macredie. This article has been made available through the Brunel Open Access Publishing Fund.
URI: https://www.tandfonline.com/doi/full/10.1080/07370024.2014.934180
https://bura.brunel.ac.uk/handle/2438/9187
DOI: https://doi.org/10.1080/07370024.2014.934180
ISSN: 0737-0024
Appears in Collections:Computer Science
Brunel OA Publishing Fund
Dept of Computer Science Research Papers

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