A simile is (like) a metaphor: Comparing metaphor and simile processing across the familiarity spectrum.

One of Katz's significant contributions to the study of figurative language is his work highlighting the importance of familiarity in metaphor processing. In this study, we examined how metaphor and simile comprehension change as a function of familiarity. The Categorization model (Glucksberg, Trends in Cognitive Sciences, 2003, 7, 92) proposes that metaphor comprehension relies on an automatic process (categorization) regardless of familiarity. By contrast, the Career of Metaphor model (Bowdle & Gentner, Psychological Review, 2005, 112, 193) proposes that as conventionality or familiarity declines, comprehension shifts from categorization to comparison, a controlled, effortful process. Both models assume that similes, regardless of familiarity, are understood through controlled, comparison processes. The present study used a resource depletion manipulation to investigate the processes recruited in metaphor and simile comprehension. Because resource depletion negatively impacts controlled, effortful processes but does not affect automatic processes (Schmeichel et al., Journal of Personality and Social Psychology, 2003, 85, 33), comparing the effects of resource depletion on comprehension of familiar and unfamiliar metaphors and similes may shed light on the comprehension processes (controlled or automatic) being used. Across two experiments, we induced resource depletion using a Stroop task and tested the impact of depletion on metaphor and simile comprehension. Metaphor stimuli were drawn from Katz et al. (Metaphor and Symbolic Activity, 1988, 3, 191) normed database; similes were constructed by adding the word like to each metaphor (e.g., love is (like) a flower). For both tropes, resource depletion slowed comprehension of unfamiliar expressions but had no little-or-no impact on highly familiar expressions. Our results suggest that comprehension of both similes and metaphors shifts from automatic to controlled processing as familiarity decreases. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Time to Throw in the Towel? No Evidence for Automatic Conceptual Metaphor Access in Idiom Processing.

The goal of the current research was to determine if conceptual metaphors are activated when people read idioms within a text. Participants read passages that included idioms that were consistent (blow your top) or inconsistent (bite his head off) with an underlying conceptual metaphor (ANGER IS HEATED FLUID IN A CONTAINER) followed by target words that were related (heat) or unrelated (lead) to the conceptual metaphor. Reading time (Experiment 1) or lexical decision time (Experiment 2) for the target words were measured. We found no evidence supporting conceptual metaphor activation. Target word reading times were unaffected by whether they were related or unrelated to underlying conceptual metaphors. Lexical decision times were facilitated for related target words in both the consistent and inconsistent idiom conditions. We suggest that the conceptual (target) domain, not a specific underlying conceptual metaphor, facilitates processing of related target words.

A 25-year replication of Katz et al.'s (1988) metaphor norms.

Research in metaphor processing has made extensive use of the normed metaphor database created by Katz, Paivio, Marschark, & Clark (Metaphor and Symbolic Activity, 3, 191-214, 1988). Because of the plasticity of figurative language, we conducted a renorming of selected metaphors from the database on a new student population. Correlations between Katz et al.'s and the present data showed that the pattern of responses has remained highly consistent across time and populations. The consistency of the normative ratings allows us to be confident in future research that will use the Katz et al. collection.

Using eye movements to evaluate the cognitive processes involved in text comprehension.

The present article describes how to use eye tracking methodologies to study the cognitive processes involved in text comprehension. Measuring eye movements during reading is one of the most precise methods for measuring moment-by-moment (online) processing demands during text comprehension. Cognitive processing demands are reflected by several aspects of eye movement behavior, such as fixation duration, number of fixations, and number of regressions (returning to prior parts of a text). Important properties of eye tracking equipment that researchers need to consider are described, including how frequently the eye position is measured (sampling rate), accuracy of determining eye position, how much head movement is allowed, and ease of use. Also described are properties of stimuli that influence eye movements that need to be controlled in studies of text comprehension, such as the position, frequency, and length of target words. Procedural recommendations related to preparing the participant, setting up and calibrating the equipment, and running a study are given. Representative results are presented to illustrate how data can be evaluated. Although the methodology is described in terms of reading comprehension, much of the information presented can be applied to any study in which participants read verbal stimuli.

Capturing the effect of a title on multiple levels of comprehension.

Researchers have manipulated text comprehension by creating texts that require a title to be understood, butthe source of the comprehension deficit has not been fully examined. We created comprehension quizzes for these texts that measure the surface form, textbase, and situation model. In three experiments, participants read passages with or without a title and then answered quiz questions. Results showed that the absence of a title influenced theaccuracy rate of answering situation model questions more than answering surface form or textbase questions. This suggests that the situation model is the primary source o f difficulty for these texts. These passages and quizzes can beused in future research that requires controlled manipulation and measurement of situation level comprehension.

A context-dependent representation model for explaining text repetition effects.

The purpose of this article is to review abstract and episodic models of text repetition effects, describe the research supporting these types of models, and propose a new model called the context-dependent representation model, which can explain both abstract-like and episodic-like repetition effects. The basic assumptions of the model are that the surface form and textbase are represented in a context-independent manner, and a coherent situation model binds together the surface features and the textbase and leads to context-dependent representation. When the situation model is well developed, it limits repetition benefits to semantically or contextually similar texts. This produces context-dependent repetition effects, which are functionally similar to episodic repetition effects. When the situation model is not well developed or not task relevant, repetition benefits are not limited to contextually similar texts. This produces context-independent repetition effects, which are functionally similar to abstract repetition effects. The context-dependent representation model provides a theoretical basis for explaining past research, and it can serve as a guide for future research aimed at understanding text repetition effects as well as text comprehension and memory.