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The hedonic expectancy gap: a framework for understanding intention failure in precontemplation.

Joseph Burge1

  • 1Independent Researcher, Los Angeles, CA, United States.

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PubMed
Summary

Many people desire change but don't start due to negative expectations. The Hedonic Expectancy Gap (HEG) measures this discrepancy, offering a new way to understand intention formation for behavior change.

Keywords:
affective forecastingbehavior initiationexperiential calibrationhealth behavior changehedonic expectancyintention formationprecontemplationprediction error

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Area of Science:

  • Behavioral Psychology
  • Health Behavior Change
  • Decision Science

Background:

  • The Transtheoretical Model (TTM) defines precontemplation by absent intention, but practitioners often infer a lack of desire.
  • This inference overlooks that many individuals in precontemplation may desire change but possess inaccurate negative expectations about initiating it.

Purpose of the Study:

  • To introduce the Hedonic Expectancy Gap (HEG) as a proximal mechanism linking desire for change to intention formation.
  • To formalize a persistent ambiguity within the TTM regarding precontemplators' desire versus intention.
  • To propose a measurable construct that differentiates expectancy-blocked non-initiation from genuine disinterest.

Main Methods:

  • Synthesizing convergent evidence on affective forecasting and behavior initiation.
  • Defining the Hedonic Expectancy Gap (HEG) as the signed discrepancy between anticipated and experienced pleasantness (Δ = Reality - Forecast).
  • Outlining a minimal cycle for quantifying hedonic prediction error: time-locked forecast, micro-test, post-experience rating, Δ computation, and practitioner elicitation.

Main Results:

  • Affective forecasting errors are systematic and behaviorally decisive.
  • Many precontemplators desire change but inaccurately forecast initiation as feeling worse than it is.
  • The HEG can quantify prediction errors and support recalibration of expectations.

Conclusions:

  • The HEG offers a testable variable to understand intention suppression despite favorable outcome value and capability.
  • It provides a measurement-and-intervention scaffold for integrative health coaching and digital health.
  • Distinguishing expectancy-blocked initiation from disinterest is crucial for effective behavior change interventions.