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Gamified online surveys: Assessing experience with self-determination theory
Alice H Aubert1,2, Andreas Scheidegger1, Sara Schmid1
1Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Plos One
|October 13, 2023
Summary
Adding learning loops and gamification to online decision-making surveys increased drop-out rates. Participant experience depended more on psychological needs than interface design, highlighting individual differences in survey engagement.
Area of Science:
- Human-Computer Interaction
- Decision Science
- Psychology
Background:
- Online surveys for citizen participation often suffer from high dropout rates.
- Incorporating engagement features like learning loops and gamification aims to improve user experience.
- Self-determination theory provides a framework for understanding user motivation and needs in digital environments.
Purpose of the Study:
- To evaluate the impact of learning loops (LLs) and gamification on dropout rates, user experience, and basic psychological needs (BPNs).
- To explore how BPNs and individual causality orientations influence user experience with different online interfaces.
- To assess the effectiveness of LLs and gamification in citizen decision-making interfaces.
Main Methods:
- Development of four online interfaces with varying combinations of LLs and gamification.
- Survey administered to 785 Swiss German-speaking respondents, representative of the general population.
- Analysis of dropout rates, self-reported experience, BPN satisfaction, and causality orientations.
Main Results:
- Both LLs and gamification led to increased dropout rates.
- User experience was more strongly predicted by BPN satisfaction than by interface type.
- LLs increased perceived challenge and frustrated BPNs, while gamification enhanced social experience and relatedness satisfaction.
Conclusions:
- The effectiveness of gamification in decision-making surveys is questionable due to increased dropout and mixed effects on psychological needs.
- Individual differences, particularly causality orientations, significantly moderate the relationship between interface design and user experience.
- Understanding individual variability is crucial for designing effective citizen participation platforms.
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