Comprehension substantially benefits from attending to, thinking about, and mentally representing the sources of any presented information. Such processes require mental effort and unfortunately people do not always engage in such activities. The current article presents a nascent, evolving model of discourse comprehension that formalizes…

When telling a story, a speaker needs to refer to story characters using appropriate expressions, which requires a mental model of the discourse. We hypothesize that, compared to those of adults, children's discourse models are based more on factors that are less cognitively demanding, such as animacy, and as they grow older, discourse factors…

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…

One of the major aims of discourse-processing literature is to understand whether and when readers form discourse-level representations online. To test this, two word-by-word, self-paced reading experiments investigated the time course of integrating incoming information about the protagonist into the unfolding discourse-level representation in…

Direct reported speech has been described as serving many functions in stories, such as increasing vividness, creating authenticity, and enhancing audience involvement. Drawing on Bamberg's model of positioning and focusing on reported exchanges, we argue that through its "constructed sequentiality" and its use of discourse strategies, direct…

This study focused on the cognitive representation of causal coherence relations linguistically marked with the connective "because." This article investigated whether these local causal relations are represented both at the level of the textbase and the situation model. Following earlier studies investigating the psychological validity of levels…

We used ERP methodology to investigate how readers validate discourse concepts and update situation models when those concepts followed factive (e.g., knew) and nonfactive (e.g., "guessed") verbs, and also when they were true, false, or indeterminate with reference to previous discourse. Following factive verbs, early (P2) and later brain…

According to current theories in discourse research, readers monitor a series of 5 situational dimensions during narrative comprehension (Zwaan, Langston, & Graesser, 1995; Zwaan & Radvansky, 1998). These dimensions are time (e.g., the order of events), space (e.g., locations), protagonist (e.g., main character actions), causality (e.g., how one…

The Landscape Model of text comprehension was extended to the comprehension of audiovisual discourse from text and video TV news stories. Concepts from the story were coded for activation after each sequence, creating a matrix of activations that was reduced to a vector of the degree of total activation for each concept. In Study 1, the degree…

This study investigated the influence of sourcing and relatedness on the integration of events embedded in simple stories. Participants read pairs of "breaking news stories" from either 1 or 2 news agencies that were believed to be from the Internet. The stories within each pair were either related by virtue of shared situational dimensions (e.g.,…

We annotated transcripts of human tutoring dialogue for the purpose of constructing a dialogue-based intelligent tutoring system, CIRCSIM-Tutor. The tutors were professors of physiology who were also expert tutors. The students were 1st year medical students who communicated with the tutors using typed communication from separate rooms. The tutors…