Measuring prevalence of other-oriented transactive contributions using an automated measure of speech style accommodation

Measuring prevalence of other-oriented transactive contributions using an automated measure of speech style accommodation
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DOI:
10.1007/s11412-013-9172-5
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发表时间:
2013-06-01
影响因子:
4.3
通讯作者:
Rose, Carolyn P.
Rose, Carolyn P.
中科院分区:
教育学1区
文献类型:
--
作者:
Gweon, Gahgene;Jain, Mahaveer;Rose, Carolyn P.

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本文为自动协作学习过程分析奠定了理论基础和方法论基础。它通过说明来自言语风格的社会心理学和社会语言学的见解如何提供一个理论框架来为计算模型的设计提供信息来做到这一点。该模型的目的是检测原始语音数据中一个重要的群体知识整合过程的流行度。具体地说,本文着重于评估二元讨论中的交互作用,其中交互作用的贡献被操作为推理是显式的,并且该推理建立在讨论中的先前推理陈述之上。互动发言可以是以自我为导向的,其中发言建立在发言者自己先前的发言基础上,也可以是以他人为导向的,即发言建立在对话伙伴的先前发言的基础上。面向其他方面的交易对集团知识整合过程尤为重要。从言语适应理论的概念出发,提出了一种无监督的动态贝叶斯网络模型,并将其应用于二元讨论中他向交易流行率的估计。评估表明,言语风格适应的自动测量与以他人为导向的交易的流行率之间存在显著的正相关(R=.36,p<0.05)。
This paper contributes to a theory-grounded methodological foundation for automatic collaborative learning process analysis. It does this by illustrating how insights from the social psychology and sociolinguistics of speech style provide a theoretical framework to inform the design of a computational model. The purpose of that model is to detect prevalence of an important group knowledge integration process in raw speech data. Specifically, this paper focuses on assessment of transactivity in dyadic discussions, where a transactive contribution is operationalized as one where reasoning is made explicit, and where that reasoning builds on a prior reasoning statement within the discussion. Transactive contributions can be either self-oriented, where the contribution builds on the speaker's own prior contribution, or other-oriented, where the contribution builds on a prior contribution of a conversational partner. Other-oriented transacts are particularly central to group knowledge integration processes. An unsupervised Dynamic Bayesian Network model motivated by concepts from Speech Accommodation Theory is presented and then evaluated on the task of estimating prevalence of other-oriented transacts in dyadic discussions. The evaluation demonstrates a significant positive correlation between an automatic measure of speech style accommodation and prevalence of other-oriented transacts (R = .36, p < .05).