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Att leva med AutoCorrect: en studie om uppfattningen om AutoCorrects inverkan
Södertörn University, School of Natural Sciences, Technology and Environmental Studies.
Södertörn University, School of Natural Sciences, Technology and Environmental Studies.
2014 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Living with AutoCorrect : a study of the perception of AutoCorrect’s impact (English)
Abstract [en]

The smartphone is part of our daily life. Smartphone users type on a screen area that is no larger than the palm of a hand. To help with this endeavor the software known as AutoCorrect was created. However little is known about how AutoCorrect actually change the language and if AutoCorrect users at all perceive the impact it has. This study aims to find out if our test subjects are aware of AutoCorrect’s presence and how much it influences them. To do this our test subjects had to use smartphones to type two different texts. After categorizing the spelling errors according to AutoCorrect’s algorithm weights we compared the test data with the information from the interviews to determine problematic areas caused by AutoCorrect when typing. Our research show that using AutoCorrect makes the process of typing faster since there is no need for a high accuracy. However it does not necessarily make a user finish typing a text faster since they frequently have to pause to process AutoCorrect’s suggestions and words that are marked as erroneous. If AutoCorrect marked a word as wrong but did not offer a suggestion the test subjects would doubt their own spelling and try different versions of the word until they found one they were satisfied with. This would significantly slow them down compared to if they had typed the text without AutoCorrect. 

Place, publisher, year, edition, pages
2014. , 47 p.
Keyword [en]
AutoCorrect, keyboard, spelling, human-computer interaction, HCI, user experience, user interface
National Category
Media and Communication Technology
Identifiers
URN: urn:nbn:se:sh:diva-26394OAI: oai:DiVA.org:sh-26394DiVA: diva2:787860
Subject / course
Media Technology
Uppsok
Technology
Supervisors
Available from: 2015-02-12 Created: 2015-02-11 Last updated: 2015-02-12Bibliographically approved

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fulltext(582 kB)237 downloads
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CiteExportLink to record
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  • apa
  • ieee
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Output format
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