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When people experience everyday activities, their comprehension can be shaped by expectations that derive from similar recent experiences, which can affect the encoding of a new experience into memory. When a new experience includes changes-such as a driving route being blocked by construction-this can lead to interference in subsequent memory. One potential mechanism of effective encoding of event changes is the retrieval of related features from previous events. Another such mechanism is the generation of a prediction error when a predicted feature is contradicted. In two experiments, we tested for effects of these two mechanisms on memory for changed features in movies of everyday activities. Participants viewed movies of an actor performing everyday activities across two fictitious days. Some event features changed across the days, and some features violated viewers' predictions. Retrieval of previous event features while viewing the second movie was associated with better subsequent memory, providing evidence for the retrieval mechanism. Contrary to our hypotheses, there was no support for the error mechanism: Prediction error was not associated with better memory when it was observed correlationally (Experiment 1) or directly manipulated (Experiment 2). These results support a key role for episodic retrieval in the encoding of new events. They also indicate boundary conditions on the role of prediction errors in driving new learning. Both findings have clear implications for theories of event memory.

Readers generate situation models representing described events, but the nature of these representations may differ depending on reading goals. We assessed whether instructions to pay attention to different situational dimensions would affect how individuals structure their situation models (Experiment 1), and how they update them when situations change (Experiment 2). In Experiment 1, participants read and segmented narrative texts into events. Some readers were oriented to pay specific attention to characters or space. Sentences containing character or spatial location changes were perceived as event boundaries—particularly if the reader was oriented to characters or space, respectively. In Experiment 2, participants read narratives and responded to recognition probes throughout the texts. Readers who were oriented to the spatial dimension were more likely to update their situation models at spatial changes; all readers tracked the character dimension. Results from both experiments indicate that attention to individual situational dimensions influences how readers segment and update their situation models. More broadly, the results provide evidence for a global situation model updating mechanism that serves to set up new models at important narrative changes.

We present evidence that different mental spatial transformations are used to reason about three different types of items representing a spectrum of animacy: human bodies, nonhuman animals, and inanimate objects. Participants made two different judgments about rotated figures: handedness judgments (“Is this the left or right side?”) and matching judgments (“Are these figures the same?”). Perspective-taking strategies were most prevalent when participants made handedness judgments about human bodies and animals. In contrast, participants generally did not imagine changes in perspective to perform matching judgments. Such results suggest that high-level information about semantic categories, including information about a thing’s animacy, can influence how spatial representations are transformed when performing online problem solving. Supplemental materials for this article may be downloaded from http://mc.psychonomic-journals.org/content/supplemental.

Interpretations of graphs seem to be rooted in principles of cognitive naturalness and information processing rather than arbitrary correspondences. These predict that people should more readily associate bars with discrete comparisons between data points because bars are discrete entities and facilitate point estimates. They should more readily associate lines with trends because lines connect discrete entities and directly represent slope. The predictions were supported in three experiments--two examining comprehension and one production. The correspondence does not seem to depend on explicit knowledge of rules. Instead, it may reflect the influence of the communicative situation as well as the perceptual properties of graphs.