Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Patient Education an...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Patient Education and Counseling
Article . 2013 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 2 versions
addClaim

Effects of prospective-user factors and sign design features on guessability of pharmaceutical pictograms

Authors: Alan H S, Chan; Ken W L, Chan;

Effects of prospective-user factors and sign design features on guessability of pharmaceutical pictograms

Abstract

To examine the associations between the guessing performance of 25 pharmaceutical pictograms and five sign features for naïve participants. The effect of prospective-user factors on guessing performance was also investigated.A total of 160 Hong Kong Chinese people, drawn largely from a young student population, guessed the meanings of 25 pharmaceutical pictograms that were generally not familiar to them. Participants then completed a questionnaire about their drug buying and drug label reading habits, and their demographics and medication history. Finally they rated five features (familiarity, concreteness, complexity, meaningfulness, and semantic distance) of the pharmaceutical pictograms using 0-100 scales.For all pharmaceutical pictograms, mean and standard deviation of guessability score were 64.8 and 17.1, respectively. Prospective-user factors of 'occupation', 'age' and 'education level' significantly affected guessing performance. For sign features, semantic closeness was the best predictor of guessability score, followed by simplicity, concreteness, meaningfulness and familiarity.User characteristics and sign features are critical for pharmaceutical pictograms. To be effective, pharmaceutical pictograms should have obvious and direct connections with familiar things and it is recommended that pharmaceutical pictograms should be designed with consideration of the five sign features investigated here.This study provides useful information and recommendations to assist interface designers to create and evaluate icons for pharmaceutical products and to design more user-friendly pharmaceutical pictograms. However, further work is needed to see how older people respond to such pharmaceutical pictograms.

Related Organizations
Keywords

Adult, Male, Adolescent, Audiovisual Aids, Age Factors, Recognition, Psychology, Middle Aged, Semantics, Young Adult, Patient Education as Topic, Socioeconomic Factors, Surveys and Questionnaires, Hong Kong, Humans, Female, Child, Comprehension, Drug Labeling

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!