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

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. [Copyright &y& Elsevier]