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Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
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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.

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Summary
This summary is machine-generated.

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.

Keywords:
feedbackgamificationgo/no-goindividual differencesinhibitory controlpersonalizationregulatory focustraining

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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.