Related Experiment Video
Updated: Mar 28, 2026

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
Published on: April 18, 2017
Differentiating what is humorous from what is not
Caleb Warren1, A Peter McGraw2
1Marketing Department, Texas A&M University.
Abstract:
After 2.5 millennia of philosophical deliberation and psychological experimentation, most scholars have concluded that humor arises from incongruity. We highlight 2 limitations of incongruity theories of humor. First, incongruity is not consistently defined. The literature describes incongruity in at least 4 ways: surprise, juxtaposition, atypicality, and a violation. Second, regardless of definition, incongruity alone does not adequately differentiate humorous from nonhumorous experiences. We suggest revising incongruity theory by proposing that humor arises from a benign violation: something that threatens a person's well-being, identity, or normative belief structure but that simultaneously seems okay. Six studies, which use entertainment, consumer products, and social interaction as stimuli, reveal that the benign violation hypothesis better differentiates humorous from nonhumorous experiences than common conceptualizations of incongruity. A benign violation conceptualization of humor improves accuracy by reducing the likelihood that joyous, amazing, and tragic situations are inaccurately predicted to be humorous. (PsycINFO Database Record
More Related Videos
07:36Eye Tracking During Visually Situated Language Comprehension: Flexibility and Limitations in Uncovering Visual Context Effects
Published on: November 30, 2018
07:34Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
Related Concept Videos
Non-Verbal Cues
Nonconscious Mimicry
Statistical Significance
Statistical Inference Techniques in Hypothesis Testing: Parametric Versus Nonparametric Data
Parametric statistics, as the name suggests, assumes that data follow a specific distribution, often a normal distribution. This assumption enables robust hypothesis testing and estimation. Parametric methods, like the Student's t-test or Goodness-of-fit test, are frequently employed in biostatistics due to their robustness. For instance,...
Social Proof
Types of Hypothesis Testing
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p...