Name
Abstract | ||
|---|---|---|
Of late, many text entry systems in users' languages with various text entry rate enhancement strategies are being proposed. To evaluate the effectiveness of such text entry systems, measuring error correction efficiency in addition to text entry rate have been advocated by researcher. Existing metrics for evaluating text entry errors are found inaccurate to evaluate text entry systems augmented with word prediction. This work attempts to bridge this gap. In this work, we redefine existing error classes as well as error quantifying metrics. In addition to this, we also introduce five different errors classes and six new metrics relevant to text entry error evaluation in the context of text entry systems augmented with word prediction. We substantiate the validity of error classes and efficacy of the metrics with a sufficient number of instances. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2525194.2525201 | APCHI |
Keywords | DocType | Citations |
text entry error,word prediction,text entry system,text entry error evaluation,error class,error correction efficiency,existing error class,new metrics,various text entry rate,text entry rate | Conference | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manoj Kumar Sharma | 1 | 21 | 3.87 |
| Pradipta Kumar Saha | 2 | 0 | 0.68 |
| Sayan Sarcar | 3 | 49 | 13.99 |
| Debasis Samanta | 4 | 227 | 37.98 |