@inproceedings{thomas2020theories,
author = {Thomas, Paul and Czerwinski, Mary and McDuff, Daniel and Craswell, Nick},
title = {Theories of conversation for conversational IR},
booktitle = {International Workshop on Conversational Approaches to Information Retrieval},
year = {2020},
month = {March},
abstract = {Conversational information retrieval is a relatively new and fast-developing research area, but conversation itself has been well-studied for decades. Researchers have analysed linguistic phenomena such as structure and semantics but also para-linguistic features
such as tone, body language and even the physiological states of interlocutors. We tend to treat computers as social agents -- especially if they have some human-like features in their design -- and so work from human-to-human conversation is highly relevant to how we
think about the design of human-to-computer applications. In this position paper, we summarise some salient past work, focusing on social norms; structures; and affect, prosody and style. We also discuss some implications for research and design of conversational IR systems.},
url = {http://approjects.co.za/?big=en-us/research/publication/theories-of-conversation-for-conversational-ir/},
note = {An extended version of this paper also appears as Thomas et al., ACM Trans. Info. Sys. 39(2), 2021: https://dl.acm.org/doi/pdf/10.1145/3439869.},
}