Predicting and Reducing the Impact of Errors in Character-Based Text Entry

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dc.contributor.advisorStuerzlinger, Wolfgang
dc.creatorArif, Ahmed Sabbir
dc.date.accessioned2015-01-26T14:11:11Z
dc.date.available2015-01-26T14:11:11Z
dc.date.copyright2013-05-29
dc.date.issued2015-01-26
dc.date.updated2015-01-26T14:11:11Z
dc.degree.disciplineComputer Science
dc.degree.levelDoctoral
dc.degree.namePhD - Doctor of Philosophy
dc.description.abstractThis dissertation focuses on the effect of errors in character-based text entry techniques. The effect of errors is targeted from theoretical, behavioral, and practical standpoints. This document starts with a review of the existing literature. It then presents results of a user study that investigated the effect of different error correction conditions on popular text entry performance metrics. Results showed that the way errors are handled has a significant effect on all frequently used error metrics. The outcomes also provided an understanding of how users notice and correct errors. Building on this, the dissertation then presents a new high-level and method-agnostic model for predicting the cost of error correction with a given text entry technique. Unlike the existing models, it accounts for both human and system factors and is general enough to be used with most character-based techniques. A user study verified the model through measuring the effects of a faulty keyboard on text entry performance. Subsequently, the work then explores the potential user adaptation to a gesture recognizer’s misrecognitions in two user studies. Results revealed that users gradually adapt to misrecognition errors by replacing the erroneous gestures with alternative ones, if available. Also, users adapt to a frequently misrecognized gesture faster if it occurs more frequently than the other error-prone gestures. Finally, this work presents a new hybrid approach to simulate pressure detection on standard touchscreens. The new approach combines the existing touch-point- and time-based methods. Results of two user studies showed that it can simulate pressure detection more reliably for at least two pressure levels: regular (~1 N) and extra (~3 N). Then, a new pressure-based text entry technique is presented that does not require tapping outside the virtual keyboard to reject an incorrect or unwanted prediction. Instead, the technique requires users to apply extra pressure for the tap on the next target key. The performance of the new technique was compared with the conventional technique in a user study. Results showed that for inputting short English phrases with 10% non-dictionary words, the new technique increases entry speed by 9% and decreases error rates by 25%. Also, most users (83%) favor the new technique over the conventional one. Together, the research presented in this dissertation gives more insight into on how errors affect text entry and also presents improved text entry methods.
dc.identifier.urihttp://hdl.handle.net/10315/28170
dc.language.isoen
dc.rightsAuthor owns copyright, except where explicitly noted. Please contact the author directly with licensing requests.
dc.subjectComputer science
dc.subject.keywordsTranscription typingen_US
dc.subject.keywordsText entryen_US
dc.subject.keywordsMobile phoneen_US
dc.subject.keywordsTouchscreenen_US
dc.subject.keywordsPredictive texten_US
dc.subject.keywordsVirtual or soft keyboarden_US
dc.subject.keywordsPressure inputen_US
dc.subject.keywordsForce inputen_US
dc.subject.keywordsCognitive modelen_US
dc.subject.keywordsPerformance metricen_US
dc.subject.keywordsError correctionen_US
dc.subject.keywordsHuman factorsen_US
dc.subject.keywordsInput devicesen_US
dc.subject.keywordsInput devicesen_US
dc.subject.keywordsInput strategies and methodsen_US
dc.subject.keywordsAdaptationen_US
dc.subject.keywordsGesture recognitionen_US
dc.subject.keywordsLearningen_US
dc.subject.keywordsUser studyen_US
dc.subject.keywordsSurveyen_US
dc.subject.keywordsEvaluationen_US
dc.titlePredicting and Reducing the Impact of Errors in Character-Based Text Entry
dc.typeElectronic Thesis or Dissertation

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