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Autocorrect Awareness

Title: Autocorrect Awareness: Categorizing Autocorrect Changes and Measuring Authorial Perceptions.
Name(s): Wood, Nicola, author
Department of English
Type of Resource: text
Genre: Text
Issuance: serial
Date Issued: 2014
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: This thesis studies changes made by Autocorrect software and authorial awareness and perceptions of those changes through analysis of case studies conducted on five volunteers aged 19 to 22. The study consisted of two phases: 1. three writing tasks, and 2. a post-writing survey given to the authors. For the first task, each subject completed three predetermined writing prompts: an email message, a text message, and a Facebook status—each with a specific intended audience—on their iPhones. Subjects then completed the survey to self-report their level of awareness of AutoCorrect's changes. Correction data was coded and categorized into one of four types of changes. The change type was determined by analyzing video recordings of each prompt. Type B changes—made when the subject accidentally hit the wrong key—proved to be the most common, followed by Type A changes (made when the subject seemed unable to spell the word), Type C changes (made as a result of incorrect capitalization or punctuation), and Type D changes (changes that did not fit into another category). Four out of five subjects self-reported that AutoCorrect changed their writing over 10 times. The fifth participant reported that AutoCorrect made 6-10 changes, though the program had actually altered his work 18 times. His response suggests that AutoCorrect may be becoming invisible to some users. The observations in this thesis are not generalizable; instead, they serve to provide a starting point for further exploration into authorial awareness in digital writing contexts.
Identifier: FSU_migr_uhm-0351 (IID)
Keywords: AutoCorrect, authorial perception, iPhone
Submitted Note: A Thesis submitted to the Department of English in partial fulfillment of the requirements for the degree of Honors in the Major.
Degree Awarded: Spring Semester, 2014.
Date of Defense: April 4, 2014.
Subject(s): English language
English literature
Persistent Link to This Record:
Restrictions on Access:
Host Institution: FSU
Is Part of Series: Honors Theses.

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Wood, N. (2014). Autocorrect Awareness: Categorizing Autocorrect Changes and Measuring Authorial Perceptions. Retrieved from