The document discusses rethinking the use of automatic speech recognition (ASR) software in courts. It proposes that ASR designed for courts should embrace errorful recognition, as normal ASR is not suitable due to the usual presence of errors. It suggests using techniques like caricatured scenarios and actor-network theory to reveal assumptions and understand what elements in the courtroom are obdurate (resistant to change) and plastic (changeable). The goal is to design a new type of ASR that respects obdurate traditions but targets plastic work practices, with errorful recognition integrated into workflows and speech archived for later use rather than transcribed verbatim.

1. Embracing errorful speech recognition: Understanding and Designing Ben Kraal , Anni Dugdale, Penny Collings and Michael Wagner

2. The Magistrates Court wanted to use ASR* * Automatic Speech Recognition

3. Software designer Field worker

4. Normal ASR is not for the Court Errorful recognition is usual

5. Rethink what “ASR for the Court” means

12. A new design targets plastic elements And respects obdurate ones

14. Whittaker’s SCAN and ScanMAIL Image from Whittaker et al 2002, pg276. What You See is Almost What You Hear

16. Errorful ASR would disrupt the court

17. Use new techniques to rethink ASR Caricatured Scenarios Reveal assumptions Actor-Network Theory Obdurate – stable Plastic - changeable

18. Tools for understanding; Tools for designing Actor-Network Theory Obdurate – stable Plastic - changeable Caricatured Scenarios Reveal assumptions

19. Embrace Errorfulness

20. Thanks to… Magistrates Court of the ACT