Grounding in communication

By Herbert H. Clark, Susan E. Brennan. 1991

Subfields: Cognitive Science & Psychology, Linguistics

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Citations in the corpus

Neural Theory-of-Mind? On the Limits of Social Intelligence in Large LMs (2022, background): “Following Grice’s maxim of quantity (Grice, 1975), static text often avoids redundancy by omitting content that is known by both the author and the reader (Clark and Brennan, 1991).”
Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models (2015, background): “…context RNN allows the model to represent a form of common ground between speakers, e.g. to represent topics and concepts shared between the speakers using a distributed vector representation, which we hypothesize to be important for building an effective dialogue system (Clark and Brennan 1991).”
A Survey of Available Corpora For Building Data-Driven Dialogue Systems: The Journal Version (2015, background): “This phase is sometimes referred to as the grounding process (Clark and Brennan, 1991).”
Disfluency Rates in Conversation: Effects of Age, Relationship, Topic, Role, and Gender (2001, background): “If a speaker takes a long time to produce an utterance, she risks losing her addressee’s attention or her speaking turn; but if she rushes to produce one that is defective, she risks being misunderstood (Clark & Brennan, 1991).”
Seven Affordances of Computer-Supported Collaborative Learning: How to Support Collaborative Learning? How Can Technologies Help? (2016, unknown): “Referencing is one of the major sources of communication difﬁculty (Clark & Brennan, 1991).”
Peer assessment as collaborative learning: A cognitive perspective (2010, background): “Research on common ground (Clark & Brennan, 1991) has moreover demonstrated that it is sometimes difficult for B to assess A’s level of expertise and design the feedback in a way that A can easily understand it.”
Visual Information as a Conversational Resource in Collaborative Physical Tasks (2003, background): “As Clark and Brennan (1991) have discussed, specific features or “affordances” of communications media can affect the ease and methods by which conversationalists maintain task awareness and achieve common ground.”
What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents (2019, background): “Although this brings an illusion of mutual shared knowledge integral to common ground [16, 17], participants clearly do not see this as being collaboratively built, negotiated and updated during agent dialogue, juxtaposing grounding processes in human conversation [18].”
Voyagers and voyeurs: supporting asynchronous collaborative information visualization (2007, background): “This pattern is not surprising; for users to collaborate, they must be able to share what they are seeing to establish a common ground for conversation [4].”
When conversation is better than computation. (2000, background): “Common ground refers to the knowledge shared by two communicating agents.(22) For a conversation to occur, agents have to share knowledge about language as well as knowledge about the subject under discussion.”
A framework to analyze argumentative knowledge construction in computer-supported collaborative learning (2006, background): “Thus, not only explicit and absolute rejections, but also slight repairs of peer contributions indicate conflict-oriented consensus building (Clark & Brennan, 1991).”