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A Conceptual Framework for Conversational Search and Recommendation: Conceptualizing Agent-Human Interactions During the Conversational Search Process

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arxiv 2404.08630 v1 pith:FRJLNHLU submitted 2024-04-12 cs.IR cs.AI

classification cs.IRcs.AI
keywords searchconversationalactionsagentframeworkprocessuseragents
verification ladder T0 review T1 audit T2 compute T3 formal
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The conversational search task aims to enable a user to resolve information needs via natural language dialogue with an agent. In this paper, we aim to develop a conceptual framework of the actions and intents of users and agents explaining how these actions enable the user to explore the search space and resolve their information need. We outline the different actions and intents, before discussing key decision points in the conversation where the agent needs to decide how to steer the conversational search process to a successful and/or satisfactory conclusion. Essentially, this paper provides a conceptualization of the conversational search process between an agent and user, which provides a framework and a starting point for research, development and evaluation of conversational search agents.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Understanding Mental Models of Generative Conversational Search and The Effect of Interface Transparency

    cs.HC 2025-06 conditional novelty 6.0 of 10

    Users of generative conversational search mostly hold abstract, incomplete mental models, and added interface transparency did not reliably improve those models or satisfaction.

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