Her principal research interest lies in the design and usability evaluation of spoken language dialogue services for human-computer interaction. She holds a PhD in this area, for the thesis "Usability Engineering of Surname Capture Strategies in Automated Telephony and Multimodal Spoken Language Dialogue Services".

The research she carries out is set primarily within the context of eCommerce, and focuses on designing and evaluating speech technology applications for the financial and travel sectors. The applications incorporate a range of speech technologies including speech recognition, text-to-speech and speaker verification, and comprise both automated telephony systems and multimodal services.

Nancie is particularly interested in multimodal spoken language dialogue services that incorporate embodied conversational agents, and has evaluated their use in both eCommerce and eLearning applications.

The evaluation techniques she employs are focused on the user. Nancie has considerable experience in usability evaluation, including experiment design, questionnaire design, and the statistical analysis of data.