Timing is Everything: Temporal Scaffolding of Semantic Surprise in Humor

TL;DR

This study introduces the DPV framework showing that temporal features significantly influence humor appreciation, with timing and semantic content working together rather than separately, based on analysis of professional stand-up performances.

Contribution

The paper presents the Dual Prediction Violation framework, highlighting the importance of temporal dynamics in humor, a factor overlooked by traditional semantic incongruity theories.

Findings

Temporal features outweigh semantic incongruity in predicting humor appreciation.

Peak semantic violations are more influential than average incongruity levels.

Pauses lengthen before high-surprise punchlines, aiding humor delivery.

Abstract

Humor is a fundamental cognitive phenomenon in which humans derive pleasure from the expectation violations and their resolution, exemplifying the brain's dynamic capacity for predictive processing. Classical humor theories emphasize semantic incongruity as the primary driver of amusement, yet overlook temporal dynamics despite comedians' intuition that "timing is everything." The extent to which temporal structure contributes to humor appreciation and how it interacts with semantic content remains poorly understood. Here, we propose the Dual Prediction Violation (DPV) framework to capture the interplay between content and timing. By analyzing 828 professional Chinese stand-up performances, we show that temporal features substantially outweigh semantic incongruity in predicting audience appreciation. Specifically, we find that peak semantic violations matter more than average incongruity levels, and pauses systematically lengthen before high-surprise punchlines--a strategic coupling that distinguishes successful from unsuccessful performances. These findings reframe humor as temporally scaffolded, where timing and semantic content operate in strategic coordination rather than independently. Our DPV framework bridges humor theory with predictive processing, demonstrating that temporal structure plays a central role in naturalistic humor appreciation with implications for understanding multi-scale prediction integration in linguistic processing.