Literature DB >> 24100710

The effect of word familiarity on actual and perceived text difficulty.

Gondy Leroy1, David Kauchak.   

Abstract

There is little evidence that readability formula outcomes relate to text understanding. The potential cause may lie in their strong reliance on word and sentence length. We evaluated word familiarity rather than word length as a stand-in for word difficulty. Word familiarity represents how well known a word is, and is estimated using word frequency in a large text corpus, in this work the Google web corpus. We conducted a study with 239 people, who provided 50 evaluations for each of 275 words. Our study is the first study to focus on actual difficulty, measured with a multiple-choice task, in addition to perceived difficulty, measured with a Likert scale. Actual difficulty was correlated with word familiarity (r=0.219, p<0.001) but not with word length (r=-0.075, p=0.107). Perceived difficulty was correlated with both word familiarity (r=-0.397, p<0.001) and word length (r=0.254, p<0.001).

Entities:  

Keywords:  Comprehension; Health Literacy; Readability; Text Simplification; User Study

Mesh:

Year:  2013        PMID: 24100710      PMCID: PMC3957403          DOI: 10.1136/amiajnl-2013-002172

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  8 in total

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Authors:  David Trafimow; Paschal Sheeran; Mark Conner; Krystina A Finlay
Journal:  Br J Soc Psychol       Date:  2002-03

2.  Assessing readability of consumer health information: an exploratory study.

Authors:  Darren Gemoets; Graciela Rosemblat; Tony Tse; Robert Logan
Journal:  Stud Health Technol Inform       Date:  2004

3.  The effects of two health information texts on patient recognition memory: a randomized controlled trial.

Authors:  Erin Freed; Debra Long; Tonantzin Rodriguez; Peter Franks; Richard L Kravitz; Anthony Jerant
Journal:  Patient Educ Couns       Date:  2013-03-26

4.  Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Authors:  Michael Buhrmester; Tracy Kwang; Samuel D Gosling
Journal:  Perspect Psychol Sci       Date:  2011-02-03

5.  Term Familiarity to indicate Perceived and Actual Difficulty of Text in Medical Digital Libraries.

Authors:  Gondy Leroy; James E Endicott
Journal:  Digit Libraries Cult Herit Knowl Dissem Future Creat (2011)       Date:  2011-10

6.  A user-study measuring the effects of lexical simplification and coherence enhancement on perceived and actual text difficulty.

Authors:  Gondy Leroy; David Kauchak; Obay Mouradi
Journal:  Int J Med Inform       Date:  2013-04-29       Impact factor: 4.046

Review 7.  The Health Belief Model: a decade later.

Authors:  N K Janz; M H Becker
Journal:  Health Educ Q       Date:  1984

8.  User evaluation of the effects of a text simplification algorithm using term familiarity on perception, understanding, learning, and information retention.

Authors:  Gondy Leroy; James E Endicott; David Kauchak; Obay Mouradi; Melissa Just
Journal:  J Med Internet Res       Date:  2013-07-31       Impact factor: 5.428

  8 in total
  14 in total

1.  Using Lexical Chains to Identify Text Difficulty: A Corpus Statistics and Classification Study.

Authors:  Partha Mukherjee; Gondy Leroy; David Kauchak
Journal:  IEEE J Biomed Health Inform       Date:  2018-12-06       Impact factor: 5.772

2.  When synonyms are not enough: Optimal parenthetical insertion for text simplification.

Authors:  Yang Gu; Gondy Leroy; David Kauchak
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  The Role of Surface, Semantic and Grammatical Features on Simplification of Spanish Medical Texts: A User Study.

Authors:  Partha Mukherjee; Gondy Leroy; David Kauchak; Brianda Armenta Navarrete; Damian Y Diaz; Sonia Colina
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

4.  NegAIT: A new parser for medical text simplification using morphological, sentential and double negation.

Authors:  Partha Mukherjee; Gondy Leroy; David Kauchak; Srinidhi Rajanarayanan; Damian Y Romero Diaz; Nicole P Yuan; T Gail Pritchard; Sonia Colina
Journal:  J Biomed Inform       Date:  2017-03-22       Impact factor: 6.317

5.  Predicting Transition Words Between Sentence for English and Spanish Medical Text.

Authors:  David Kauchak; Gondy Leroy; Menglu Pei; Sonia Colina
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

6.  Incidence and Impact of Missing Functional Elements on Information Comprehension using Audio and Text.

Authors:  Gondy Leroy; David Kauchak; Nicholas Kloehn
Journal:  AMIA Annu Symp Proc       Date:  2022-02-21

7.  Moving Beyond Readability Metrics for Health-Related Text Simplification.

Authors:  David Kauchak; Gondy Leroy
Journal:  IT Prof       Date:  2016-05-25       Impact factor: 2.626

8.  Health IT Usability Focus Section: Adapting EHR-Based Medication Instructions to Comply with Plain Language Guidance-A Randomized Experiment.

Authors:  Jessica S Ancker; Alexander Send; Baria Hafeez; Snezana N Osorio; Erika Abramson
Journal:  Appl Clin Inform       Date:  2017-12-14       Impact factor: 2.342

9.  Measuring Text Difficulty Using Parse-Tree Frequency.

Authors:  David Kauchak; Gondy Leroy; Alan Hogue
Journal:  J Assoc Inf Sci Technol       Date:  2017-06-20       Impact factor: 2.687

10.  Assessing the Readability of Medical Documents: A Ranking Approach.

Authors:  Jiaping Zheng; Hong Yu
Journal:  JMIR Med Inform       Date:  2018-03-23
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