Related Experiment Video
Updated: Jun 17, 2025

07:53
Group Synchronization During Collaborative Drawing Using Functional Near-Infrared Spectroscopy
Published on: August 5, 2022
2.0K
Measuring Continuous Affect in Daily Life With Intensity Profile Drawings
Leonie Cloos1, Merijn Mestdagh1, Wolf Vanpaemel1
1Katholieke Universiteit Leuven, Belgium.
Assessment
|August 14, 2024
Summary
Continuous affect drawings offer a novel way to capture emotional experiences between assessments. This method provides valuable insights into affect dynamics, revealing daily peaks and valleys in positive and negative affect.
Area of Science:
- Psychology
- Affective Science
- Methodology
Background:
- Intensive longitudinal studies often have gaps in data collection between assessments.
- Continuous affect drawings (CADs) were developed to capture affective experiences during these intervals.
Purpose of the Study:
- To evaluate CADs as an innovative method for measuring affective experiences over time.
- To assess the informational gain and utility of CADs compared to traditional methods.
Main Methods:
- An experience sampling study with 115 participants who provided momentary affect ratings six times daily.
- Participants also created continuous affect drawings and reported affective events between assessments.
- Data analysis focused on informational gain, categorization of affect peaks/valleys, and correlations with momentary ratings.
Main Results:
- CADs provided an average of 7% informational gain over linear interpolation.
- Positive and negative affect peaks and valleys were identified, occurring once daily per person on average.
- The probability of detecting affect changes increased with reported affective events.
- Drawings correlated positively with momentary affect scores but predicted them less effectively.
Conclusions:
- Continuous affect drawings offer a comprehensive understanding of affective experiences between assessments.
- This method provides a unique perspective on affect dynamics and emotional fluctuations.
- CADs complement traditional momentary assessments by capturing between-assessment affect changes.

