A field study of the impact of gender and user's technical experience on the performance of voice-activated medical tracking application

Abstract Speech recognition is a particularly important technology for mobile computing since it provides a smaller, lighter interface than a keyboard. This paper investigates the impact of user's gender and user's computer experience on the performance of a speech recognition system. Using a field study of 33 users, voice-activated medical tracking application and a mobile healthcare fieldwork environment, we illustrate that the user's gender, user's computer experience and the interaction between the user's gender and computer experience has an impact on the performance of a speech recognition system.

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