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Priming and Actions: An Analysis in Conversational Search Systems

Fu, Xiao; Lipani, Aldo; (2023) Priming and Actions: An Analysis in Conversational Search Systems. In: SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval. (pp. pp. 2277-2281). ACM Green open access

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Abstract

In order to accurately simulate users in conversational systems, it is essential to comprehend the factors that influence their behaviour. This is a critical challenge for the Information Retrieval (IR) field, as conventional methods are not well-suited for the interactive and unique sequential structure of conversational contexts. In this study, we employed the concept of Priming effects from the Psychology literature to identify core stimuli for each abstracted effect. We then examined these stimuli on various datasets to investigate their correlations with users' actions. Finally, we trained Logistic Regression (LR) models based on these stimuli to anticipate users' actions. Our findings offer a basis for creating more realistic user models and simulators, as we identified the subset of stimuli with strong relationships with users' actions. Additionally, we built a model that can predict users' actions.

Type: Proceedings paper
Title: Priming and Actions: An Analysis in Conversational Search Systems
Event: SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
ISBN-13: 9781450394086
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3539618.3592041
Publisher version: https://doi.org/10.1145/3539618.3592041
Language: English
Additional information: © 2023 Copyright held by the owner/author(s). This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Dialogue Systems, User Modeling, Priming Efect
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10176583
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