Predictions of Miscommunication in Verbal Communication During Collaborative Joint Action

Author:

Paxton Alexandra12ORCID,Roche Jennifer M.3ORCID,Ibarra Alyssa4,Tanenhaus Michael K.4

Affiliation:

1. Department of Psychological Sciences, University of Connecticut, Storrs

2. Center for the Ecological Study of Perception and Action, University of Connecticut, Storrs

3. Department of Speech Pathology & Audiology, School of Health Sciences, Kent State University, OH

4. Department of Brain & Cognitive Sciences, University of Rochester, NY

Abstract

Purpose The purpose of the current study was to examine the lexical and pragmatic factors that may contribute to turn-by-turn failures in communication (i.e., miscommunication) that arise regularly in interactive communication. Method Using a corpus from a collaborative dyadic building task, we investigated what differentiated successful from unsuccessful communication and potential factors associated with the choice to provide greater lexical information to a conversation partner. Results We found that more successful dyads' language tended to be associated with greater lexical density, lower ambiguity, and fewer questions. We also found participants were more lexically dense when accepting and integrating a partner's information (i.e., grounding) but were less lexically dense when responding to a question. Finally, an exploratory analysis suggested that dyads tended to spend more lexical effort when responding to an inquiry and used assent language accurately—that is, only when communication was successful. Conclusion Together, the results suggest that miscommunication both emerges and benefits from ambiguous and lexically dense utterances.

Publisher

American Speech Language Hearing Association

Subject

Speech and Hearing,Linguistics and Language,Language and Linguistics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3