Investigating error injection to enhance the effectiveness of mobile text entry studies of error behaviour
Komninos, Andreas and Nicol, Emma and Dunlop, Mark (2020) Investigating error injection to enhance the effectiveness of mobile text entry studies of error behaviour. Preprint / Working Paper. arXiv.org, Ithaca, N.Y..
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Abstract
During lab studies of text entry methods it is typical to observer very few errors in participants' typing - users tend to type very carefully in labs. This is a problem when investigating methods to support error awareness or correction as support mechanisms are not tested. We designed a novel evaluation method based around injection of errors into the users' typing stream and report two user studies on the effectiveness of this technique. Injection allowed us to observe a larger number of instances and more diverse types of error correction behaviour than would normally be possible in a single study, without having a significant impact on key input behaviour characteristics. Qualitative feedback from both studies suggests that our injection algorithm was successful in creating errors that appeared realistic to participants. The use of error injection shows promise for the investigation of error correction behaviour in text entry studies.
ORCID iDs
Komninos, Andreas, Nicol, Emma and Dunlop, Mark ORCID: https://orcid.org/0000-0002-4593-1103;-
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Item type: Monograph(Preprint / Working Paper) ID code: 71885 Dates: DateEvent13 March 2020PublishedNotes: Work originally conducted in between Sept 2013 - Jan 2016, document prepared Feb 2016 Subjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 26 Mar 2020 10:06 Last modified: 01 Sep 2024 01:50 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/71885