@inproceedings{22bf37f40e3e4b4a99651ee1bf04021e,
title = "It's how you say it: Identifying appropriate register for chatbot language design",
abstract = "Designing chatbots that produce language that is natural and appropriate to a given context is critical in satisfying user expectations. Currently, little is known about how a chatbot's linguistic choices should be designed to conform with the language humans produce in similar contexts. In this paper, we draw on existing sociolinguistic theory to adapt a technique calledregister analysis to (a) characterize the linguistic register used by humans in a specific conversational context; and (b) drive chatbot language design. Our exploratory study investigates the application of register analysis for tourist assistants chatbots and shows how the results could be used to develop them to adopt the appropriate register.",
keywords = "Chatbots, Conversational style, Language design, Register",
author = "Chaves, {Ana Paula} and Eck Doerry and Jesse Egbert and Marco Gerosa",
note = "Publisher Copyright: {\textcopyright} 2019 ACM.; 7th International Conference on Human-Agent Interaction, HAI 2019 ; Conference date: 06-10-2019 Through 10-10-2019",
year = "2019",
month = sep,
day = "25",
doi = "10.1145/3349537.3351901",
language = "English (US)",
series = "HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction",
publisher = "Association for Computing Machinery, Inc",
pages = "102--109",
booktitle = "HAI 2019 - Proceedings of the 7th International Conference on Human-Agent Interaction",
}