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Prevention Focus Relates to Performance on a Loss-Framed Inhibitory Control Task.
Benjamin T Files1, Kimberly A Pollard1, Ashley H Oiknine2,3
1Human Research and Engineering Directorate, United States Army Research Laboratory, Los Angeles, CA, United States.
Frontiers in Psychology
|April 27, 2019
Summary
Regulatory fit between feedback framing and individual focus enhances training, particularly when feedback is loss-framed. This suggests a complex interaction influencing performance improvements in computer-based training.
Area of Science:
- Cognitive Psychology
- Human-Computer Interaction
- Educational Technology
Background:
- Information framing significantly impacts how individuals process and respond to feedback.
- Regulatory focus, a trait describing a focus on gains versus losses, influences decision-making and motivation.
- Understanding regulatory fit between feedback framing and individual focus is crucial for optimizing learning and performance.
Purpose of the Study:
- To investigate the hypothesis that aligning individual regulatory focus with feedback framing (gain vs. loss) enhances performance improvements in computer-based training.
- To examine the effects of gain-framed, loss-framed, and control feedback on performance in an inhibitory control task.
- To explore the complexity of regulatory fit beyond simple categorization of traits and framing.
Main Methods:
- Assessed trait-level regulatory focus in 93 participants.
- Participants engaged in computer-based training using a go/no-go inhibitory control task.
- Feedback was presented in three conditions: gain-framed, loss-framed, or control.
Main Results:
- Performance improvements (correct rejection rate, response time) showed some alignment with regulatory fit, but primarily in the loss-framed condition.
- The findings suggest that the interaction between regulatory focus and feedback framing is more nuanced than anticipated.
- Simple alignment may not fully capture the mechanisms of regulatory fit in training contexts.
Conclusions:
- Regulatory fit is a complex phenomenon that requires careful consideration of individual differences and specific task characteristics.
- Feedback framing and regulatory fit interact in intricate ways, influencing the effectiveness of computer-based training.
- Future research and design of training interventions should integrate regulatory fit, feedback framing, and task affordances for optimal outcomes.
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