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Improving risk understanding across ability levels: Encouraging active processing with dynamic icon arrays.

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Dynamic features in icon arrays improve risk understanding, especially for those with low graph literacy. Reflective questions with feedback significantly benefit all users, enhancing decision-making aids.

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Area of Science:

  • Decision Science
  • Human-Computer Interaction
  • Cognitive Psychology

Background:

  • Icon arrays enhance risk understanding and reduce judgment biases.
  • Individuals with low graph literacy benefit less from standard icon arrays.

Purpose of the Study:

  • To develop and test dynamic design features for icon arrays.
  • To improve risk communication for diverse audiences, including those with low graph literacy.

Main Methods:

  • Tested three dynamic features: sequential element presentation, explanatory labels, and reflective questions with feedback.
  • Manipulated computerized display features that unfold over time.
  • Assessed impact on risk understanding and judgment biases.

Main Results:

  • Explanatory labels improved risk understanding for less graph-literate participants.
  • Reflective questions with accuracy feedback yielded significant benefits for all participants, regardless of graph literacy.
  • Dynamic features enhance the efficacy of icon array decision aids.

Conclusions:

  • Dynamic design features, particularly reflective questions, can significantly improve risk comprehension from icon arrays.
  • Tailoring features can address limitations for users with low graph literacy.
  • Findings have implications for designing more effective risk communication tools.