We tested sarcasm production and identification across original communicators in a spontaneously produced conversational setting, including testing the role of synchronous movement on sarcasm production and identification. Before communicating, stranger dyads participated in either a synchronous or nonsynchronous movement task. They then completed…

We propose that machine-learned computational models (MLCMs), in which the model parameters and perhaps even structure are learned from data, can complement extant approaches to the study of text and discourse. Such models are particularly useful when theoretical understanding is insufficient, when the data are rife with nonlinearities and…

When speakers coordinate with one another, they have available a range of alternatives for conceptualizing and describing spatial relationships. To understand the features of successful communication in collaborative spatial tasks, it is important to identify factors that shape speakers' linguistic choices and evaluate them in relation to task…

Sarcasm production and comprehension have been traditionally described in terms of pragmatic factors. Lexical cues have received less attention, but they may be important potential indicators. A major obstacle to examining such features is determining sarcastic intent. One solution is to analyze statements explicitly marked as being sarcastic.…