From reading numbers to seeing ratios: a benefit of icons for risk comprehension
Promoting a better understanding of statistical data is becoming increasingly important for improving risk comprehension and decision-making. In this regard, previous studies on Bayesian problem solving have shown that iconic representations help infer frequencies in sets and subsets. Nevertheless,...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión aceptada para publicación |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/162287 |
| Acceso en línea: | https://hdl.handle.net/2445/162287 |
| Access Level: | acceso abierto |
| Palabra clave: | Raonament (Psicologia) Probabilitats Reasoning (Psychology) Probabilities |
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From reading numbers to seeing ratios: a benefit of icons for risk comprehensionTubau Sala, ElisabetRodríguez-Ferreiro, JavierBarberia, ItxasoColomé, ÀngelsRaonament (Psicologia)ProbabilitatsReasoning (Psychology)ProbabilitiesPromoting a better understanding of statistical data is becoming increasingly important for improving risk comprehension and decision-making. In this regard, previous studies on Bayesian problem solving have shown that iconic representations help infer frequencies in sets and subsets. Nevertheless, the mechanisms by which icons enhance performance remain unclear. Here, we tested the hypothesis that the benefit offered by icon arrays lies in a better alignment between presented and requested relationships, which should facilitate the comprehension of the requested ratio beyond the represented quantities. To this end, we analyzed individual risk estimates based on data presented either in standard verbal presentations (percentages and natural frequency formats) or as icon arrays. Compared to the other formats, icons led to estimates that were more accurate, and importantly, promoted the use of equivalent expressions for the requested probability. Furthermore, whereas the accuracy of the estimates based on verbal formats depended on their alignment with the text, all the estimates based on icons were equally accurate. Therefore, these results support the proposal that icons enhance the comprehension of the ratio and its mapping onto the requested probability and point to relational misalignment as potential interference for text-based Bayesian reasoning. The present findings also argue against an intrinsic difficulty with understanding single-event probabilities.Springer Verlag2019info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfhttps://hdl.handle.net/2445/162287Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésVersió postprint del document publicat a: https://doi.org/10.1007/s00426-018-1041-4Psychological Research-Psychologische Forschung, 2019, vol. 83, num. 8, p. 1808-1816https://doi.org/10.1007/s00426-018-1041-4(c) Springer Verlag, 2019info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1622872026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| title |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| spellingShingle |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension Tubau Sala, Elisabet Raonament (Psicologia) Probabilitats Reasoning (Psychology) Probabilities |
| title_short |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| title_full |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| title_fullStr |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| title_full_unstemmed |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| title_sort |
From reading numbers to seeing ratios: a benefit of icons for risk comprehension |
| dc.creator.none.fl_str_mv |
Tubau Sala, Elisabet Rodríguez-Ferreiro, Javier Barberia, Itxaso Colomé, Àngels |
| author |
Tubau Sala, Elisabet |
| author_facet |
Tubau Sala, Elisabet Rodríguez-Ferreiro, Javier Barberia, Itxaso Colomé, Àngels |
| author_role |
author |
| author2 |
Rodríguez-Ferreiro, Javier Barberia, Itxaso Colomé, Àngels |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
Raonament (Psicologia) Probabilitats Reasoning (Psychology) Probabilities |
| topic |
Raonament (Psicologia) Probabilitats Reasoning (Psychology) Probabilities |
| description |
Promoting a better understanding of statistical data is becoming increasingly important for improving risk comprehension and decision-making. In this regard, previous studies on Bayesian problem solving have shown that iconic representations help infer frequencies in sets and subsets. Nevertheless, the mechanisms by which icons enhance performance remain unclear. Here, we tested the hypothesis that the benefit offered by icon arrays lies in a better alignment between presented and requested relationships, which should facilitate the comprehension of the requested ratio beyond the represented quantities. To this end, we analyzed individual risk estimates based on data presented either in standard verbal presentations (percentages and natural frequency formats) or as icon arrays. Compared to the other formats, icons led to estimates that were more accurate, and importantly, promoted the use of equivalent expressions for the requested probability. Furthermore, whereas the accuracy of the estimates based on verbal formats depended on their alignment with the text, all the estimates based on icons were equally accurate. Therefore, these results support the proposal that icons enhance the comprehension of the ratio and its mapping onto the requested probability and point to relational misalignment as potential interference for text-based Bayesian reasoning. The present findings also argue against an intrinsic difficulty with understanding single-event probabilities. |
| publishDate |
2019 |
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2019 |
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info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion |
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article |
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acceptedVersion |
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https://hdl.handle.net/2445/162287 |
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https://hdl.handle.net/2445/162287 |
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Inglés |
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Inglés |
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Versió postprint del document publicat a: https://doi.org/10.1007/s00426-018-1041-4 Psychological Research-Psychologische Forschung, 2019, vol. 83, num. 8, p. 1808-1816 https://doi.org/10.1007/s00426-018-1041-4 |
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(c) Springer Verlag, 2019 info:eu-repo/semantics/openAccess |
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(c) Springer Verlag, 2019 |
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openAccess |
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application/pdf |
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Springer Verlag |
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Springer Verlag |
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Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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Universidad de Barcelona |
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Dipòsit Digital de la UB |
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Dipòsit Digital de la UB |
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