Because for many users the machine recognition of realistic, large vocabulary speech tasks typically produces recognition rates only in the neighborhood of 80%, the use of automatic speech recognizers (ASR) requires spotting and correcting the errors introduced during decoding. As a result, error correction is an important consideration in bringing current speech recognition technology to market. Standard methods for error correction include overwriting using a keyboard and selecting from a list of related candidate words with a mouse. In addition, a new alternative is considered: overwriting using a pressure‐sensitive pen on a transparent paper‐like interface (PLI) capable of recognizing handwriting online. These three alternatives are compared in terms of relative speed and ease of use, by measuring the average time that it takes to correct speech recognizer errors using each of the alternatives, and by recording the overall impression of each of the participants in the experiments. Keyboard entry was v...