Literature DB >> 36220952

Nudge and bias in subjective ratings? The role of icon sets in determining ratings of icon characteristics.

Siné McDougall1, Irene Reppa2, Jacqui Taylor3.   

Abstract

Subjective ratings have been central to the evaluation of icon characteristics. The current study examined biases in ratings in relation to the context in which icons are presented. Context was manipulated between participants, with some groups rating icon sets with limited variability, and others rating icon sets with wide variability. It was predicted that the context created by the icon set would influence participants' ratings; when the range of icons was limited, this would create bias given participants' expectation that a full range of icon values was being presented. Six key icon characteristics were rated, which were visual (visual complexity, appeal), affective (valence, feelings), and semantic (concreteness, semantic distance). Some icon characteristics were susceptible to rating bias while others were not. Where subjective judgements were being made of visual icon characteristics (appeal/complexity) and highly concrete icons which were very pictorial, there was clear evidence of substantial bias in ratings. The same susceptibility to bias was not evident when ratings relied solely on learned semantic associations or were associated with the emotional attributions made to icons. The dynamic nature of the ratings bias was demonstrated when the rating context was changed without participants' knowledge. When participants rated further blocks of icons providing a different range of the to-be-rated characteristic, this resulted in rapid and dramatic changes in rating behaviour. These findings demonstrate the need for representative sampling of icon characteristics to avoid ratings bias. Practically, this is important when determining the usability of newly designed icon sets in order to avoid over-valuing or under-valuing of key characteristics.
© 2022. The Author(s).

Entities:  

Keywords:  Affect; Complexity; Concreteness; Icon design and usability; Icon ratings; Ratings bias; Visual appeal

Year:  2022        PMID: 36220952     DOI: 10.3758/s13428-022-01973-7

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  16 in total

1.  Exploring the effects of icon characteristics on user performance: the role of icon concreteness, complexity, and distinctiveness.

Authors:  S J McDougall; O de Bruijn; M B Curry
Journal:  J Exp Psychol Appl       Date:  2000-12

2.  Searching for signs, symbols, and icons: effects of time of day, visual complexity, and grouping.

Authors:  Siné McDougall; Victoria Tyrer; Simon Folkard
Journal:  J Exp Psychol Appl       Date:  2006-06

3.  Icon identification in context: the changing role of icon characteristics with user experience.

Authors:  Sarah J Isherwood; Siné J P McDougall; Martin B Curry
Journal:  Hum Factors       Date:  2007-06       Impact factor: 2.888

4.  Multidimensional normative ratings for the International Affective Picture System.

Authors:  Terry M Libkuman; Hajime Otani; Rosalie Kern; Steen G Viger; Nicole Novak
Journal:  Behav Res Methods       Date:  2007-05

5.  What's in a name? The role of graphics, functions, and their interrelationships in icon identification.

Authors:  Siné McDougall; Sarah Isherwood
Journal:  Behav Res Methods       Date:  2009-05

Review 6.  A re-examination of the mere exposure effect: The influence of repeated exposure on recognition, familiarity, and liking.

Authors:  R Matthew Montoya; Robert S Horton; Jack L Vevea; Martyna Citkowicz; Elissa A Lauber
Journal:  Psychol Bull       Date:  2017-03-06       Impact factor: 17.737

7.  Conceptual distinctiveness supports detailed visual long-term memory for real-world objects.

Authors:  Talia Konkle; Timothy F Brady; George A Alvarez; Aude Oliva
Journal:  J Exp Psychol Gen       Date:  2010-08

8.  The Geneva affective picture database (GAPED): a new 730-picture database focusing on valence and normative significance.

Authors:  Elise S Dan-Glauser; Klaus R Scherer
Journal:  Behav Res Methods       Date:  2011-06

9.  Revisiting Rossion and Pourtois with new ratings for automated complexity, familiarity, beauty, and encounter.

Authors:  Alex Forsythe; Nichola Street; Mai Helmy
Journal:  Behav Res Methods       Date:  2017-08

10.  Serial dependence and center bias in heading perception from optic flow.

Authors:  Qi Sun; Huihui Zhang; David Alais; Li Li
Journal:  J Vis       Date:  2020-10-01       Impact factor: 2.240

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