The problems caused by imperfect speech recognition in spoken dialogue systems are well known: they confound the ability of the system to manage the dialogue, and can lead to both user frustration and task failure. Speech recognition errors are likely to persist for the foreseeable future, and so the development and adoption of a well-founded approach to the handling of error situations may be an important component in achieving general public acceptability for systems of this kind. In this paper, we compare two studies of user behaviour in response to speech recognition errors in quite different dialog applications; the analysis supports the view that user behaviour during error conditions contains a large component that is independent of the domain of the dialogue. The prospect of a consistent response to errors across a wide range of domains enhances the prospects for a general theory of error recognition and repair.
To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.