What can NLP researchers learn from Human Computer Interaction (HCI) research? We chatted with Nanna Inie and Leon Derczynski to find out. We discussed HCI's research processes including methods of inquiry, the data annotation processes used in HCI, and how they are different from NLP, and the cognitive methods used in HCI for qualitative error analyses. We also briefly talked about the opportunities the field of HCI presents for NLP researchers.

This discussion is based on the following paper: https://aclanthology.org/2021.hcinlp-1.16/

Nanna Inie is a postdoctoral researcher and Leon Derczynski is an associate professor in CS at the IT University of Copenhagen.

The hosts for this episode are Ana Marasović and Pradeep Dasigi.

131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski

**The podcast is currently on hiatus. For more active NLP content, check out the Holistic Intelligence Podcast linked below.**

Welcome to the NLP highlights podcast, where we invite researchers to talk about their work in various areas in natural language processing. All views expressed belong to the hosts/guests, and do not represent their employers.

131 - Opportunities and Barriers between HCI and NLP, with Nanna Inie and Leon Derczynski

NLP Highlights