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Predicting the cost of error correction in character-based text entry technologies

Published: 10 April 2010 Publication History

Abstract

Researchers have developed many models to predict and understand human performance in text entry. Most of the models are specific to a technology or fail to account for human factors and variations in system parameters, and the relationship between them. Moreover, the process of fixing errors and its effects on text entry performance has not been studied. Here, we first analyze real-life text entry error correction behaviors. We then use our findings to develop a new model to predict the cost of error correction for character-based text entry technologies. We validate our model against quantities derived from the literature, as well as with a user study. Our study shows that the predicted and observed cost of error correction correspond well. At the end, we discuss potential applications of our new model.

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    cover image ACM Conferences
    CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2010
    2690 pages
    ISBN:9781605589299
    DOI:10.1145/1753326
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 10 April 2010

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    Author Tags

    1. cognitive model
    2. error correction
    3. error rate
    4. hand-held devices
    5. mobile phone
    6. performance metric
    7. prediction
    8. text entry

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    • (2023)Vision-Based Interfaces for Character-Based Text EntryAdvances in Human-Computer Interaction10.1155/2023/88557642023Online publication date: 1-Jan-2023
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