Literature DB >> 22754274

A Taxonomy of Representation Strategies in Iconic Communication.

Carlos Nakamura1, Qing Zeng-Treitler.   

Abstract

Predicting whether the intended audience will be able to recognize the meaning of an icon or pictograph is not an easy task. Many icon recognition studies have been conducted in the past. However, their findings cannot be generalized to other icons that were not included in the study, which, we argue, is their main limitation. In this paper, we propose a comprehensive taxonomy of icons that is intended to enable the generalization of the findings of recognition studies. To accomplish this, we analyzed a sample of more than eight hundred icons according to three axes: lexical category, semantic category, and representation strategy. Three basic representation strategies were identified: visual similarity; semantic association; and arbitrary convention. These representation strategies are in agreement with the strategies identified in previous taxonomies. However, a greater number of subcategories of these strategies were identified. Our results also indicate that the lexical and semantic attributes of a concept influence the choice of representation strategy.

Entities:  

Year:  2012        PMID: 22754274      PMCID: PMC3383821          DOI: 10.1016/j.ijhcs.2012.02.009

Source DB:  PubMed          Journal:  Int J Hum Comput Stud        ISSN: 1071-5819            Impact factor:   3.632


  17 in total

1.  Three good reasons to see a dentist BEFORE cancer treatment.

Authors: 
Journal:  Geriatr Nurs       Date:  1999 Sep-Oct       Impact factor: 2.361

2.  The evaluation of pharmaceutical pictograms in a low-literate South African population.

Authors:  R Dowse; M S Ehlers
Journal:  Patient Educ Couns       Date:  2001-11

3.  The Unified Medical Language System (UMLS): integrating biomedical terminology.

Authors:  Olivier Bodenreider
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  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

5.  The development of graphic symbols for medical symptoms to facilitate communication between health care providers and receivers.

Authors:  M Moriyama; D L Harnisch; S Matsubara
Journal:  Tohoku J Exp Med       Date:  1994-12       Impact factor: 1.848

6.  Design, development, and evaluation of visual aids for communicating prescription drug instructions to nonliterate patients in rural Cameroon.

Authors:  L N Ngoh; M D Shepherd
Journal:  Patient Educ Couns       Date:  1997-03

7.  Communicating information to patients: the use of cartoon illustrations to improve comprehension of instructions.

Authors:  C Delp; J Jones
Journal:  Acad Emerg Med       Date:  1996-03       Impact factor: 3.451

8.  Using pictographs to enhance recall of spoken medical instructions.

Authors:  P S Houts; R Bachrach; J T Witmer; C A Tringali; J A Bucher; R A Localio
Journal:  Patient Educ Couns       Date:  1998-10

9.  Simplification of emergency department discharge instructions improves patient comprehension.

Authors:  B T Jolly; J L Scott; S M Sanford
Journal:  Ann Emerg Med       Date:  1995-10       Impact factor: 5.721

10.  Assessment of pictographs developed through a participatory design process using an online survey tool.

Authors:  Hyeoneui Kim; Carlos Nakamura; Qing Zeng-Treitler
Journal:  J Med Internet Res       Date:  2009-02-24       Impact factor: 5.428

View more
  6 in total

1.  Doodle Health: A Crowdsourcing Game for the Co-design and Testing of Pictographs to Reduce Disparities in Healthcare Communication.

Authors:  Carrie Christensen; Doug Redd; Erica Lake; Jean P Shipman; Heather Aiono; Roger Altizer; Bruce E Bray; Qing T Zeng
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  Icons for health effects of cigarette smoke: a test of semiotic type.

Authors:  Allison J Lazard; Annie Schmidt; Huyen Vu; M Justin Byron; Ellen Peters; Marcella H Boynton; Noel T Brewer
Journal:  J Behav Med       Date:  2017-02-20

3.  Automated illustration of patients instructions.

Authors:  Duy Bui; Carlos Nakamura; Bruce E Bray; Qing Zeng-Treitler
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

4.  Effects of Users' Familiarity With the Objects Depicted in Icons on the Cognitive Performance of Icon Identification.

Authors:  Zhangfan Shen; Chengqi Xue; Haiyan Wang
Journal:  Iperception       Date:  2018-06-11

5.  Crowdsourcing participatory evaluation of medical pictograms using Amazon Mechanical Turk.

Authors:  Bei Yu; Matt Willis; Peiyuan Sun; Jun Wang
Journal:  J Med Internet Res       Date:  2013-06-03       Impact factor: 5.428

6.  Assessing Pictograph Recognition: A Comparison of Crowdsourcing and Traditional Survey Approaches.

Authors:  Jinqiu Kuang; Lauren Argo; Greg Stoddard; Bruce E Bray; Qing Zeng-Treitler
Journal:  J Med Internet Res       Date:  2015-12-17       Impact factor: 5.428

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.