Literature DB >> 25938975

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

Yasmina Okan1, Rocio Garcia-Retamero2, Edward T Cokely3, Antonio Maldonado2.   

Abstract

Icon arrays have been found to improve risk understanding and reduce judgment biases across a wide range of studies. Unfortunately, individuals with low graph literacy experience only limited benefits from such displays. To enhance the efficacy and reach of these decision aids, the authors developed and tested 3 types of dynamic design features--that is, computerized display features that unfold over time. Specifically, the authors manipulated the sequential presentation of the different elements of icon arrays, the presence of explanatory labels indicating what was depicted in the different regions of the arrays, and the use of a reflective question followed by accuracy feedback. The first 2 features were designed to promote specific cognitive processes involved in graph comprehension, whereas the 3rd feature was designed to promote a more active, elaborative processing of risk information. Explanatory labels were effective in improving risk understanding among less graph-literate participants, whereas reflective questions resulted in large and robust performance benefits among participants with both low and high graph literacy. Theoretical and prescriptive implications are discussed. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

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Mesh:

Year:  2015        PMID: 25938975     DOI: 10.1037/xap0000045

Source DB:  PubMed          Journal:  J Exp Psychol Appl        ISSN: 1076-898X


  4 in total

1.  Using the Short Graph Literacy Scale to Predict Precursors of Health Behavior Change.

Authors:  Yasmina Okan; Eva Janssen; Mirta Galesic; Erika A Waters
Journal:  Med Decis Making       Date:  2019-03-08       Impact factor: 2.583

2.  Negotiating Tensions Between Theory and Design in the Development of Mailings for People Recovering From Acute Coronary Syndrome.

Authors:  Holly O Witteman; Justin Presseau; Emily Nicholas Angl; Iffat Jokhio; J D Schwalm; Jeremy M Grimshaw; Beth Bosiak; Madhu K Natarajan; Noah M Ivers
Journal:  JMIR Hum Factors       Date:  2017-03-01

3.  Visual aids improve diagnostic inferences and metacognitive judgment calibration.

Authors:  Rocio Garcia-Retamero; Edward T Cokely; Ulrich Hoffrage
Journal:  Front Psychol       Date:  2015-07-16

Review 4.  Heuristics for designing user-centric drug products: Lessons learned from Human Factors and Ergonomics.

Authors:  Markus A Feufel; Gudrun Rauwolf; Felix C Meier; Fatma Karapinar-Çarkit; Maren Heibges
Journal:  Br J Clin Pharmacol       Date:  2020-01-23       Impact factor: 4.335

  4 in total

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