# Comparing Conventional and Conversational Search Interaction using Implicit Evaluation Methods

arXiv: https://arxiv.org/abs/2303.09258 · HTML: https://mlsanity.com/paper/2303.09258/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Mar 2023.

## Built on by (most cited first, 3 of 3)

- [Personality over Precision: Exploring the Influence of Human-Likeness on ChatGPT Use for Search](https://mlsanity.com/paper/2511.06447/) (2025)
- [An Under-Explored Application for Explainable Multimodal Misogyny Detection in code-mixed Hindi-English](https://mlsanity.com/paper/2601.08457/) (2026)
- [Q&A or Document-Based? The Effects of Interface Type on How Screen Reader Users Access Interconnected Documents](https://mlsanity.com/paper/2608.25382/) (2026)

## Abstract (arXiv)

Conversational search applications offer the prospect of improved user experience in information seeking via agent support. However, it is not clear how searchers will respond to this mode of engagement, in comparison to a conventional user-driven search interface, such as those found in a standard web search engine. We describe a laboratory-based study directly comparing user behaviour for a conventional search interface (CSI) with that of an agent-mediated multiview conversational search interface (MCSI) which extends the CSI. User reaction and search outcomes of the two interfaces are compared using implicit evaluation using five analysis methods: claiming to have a better search experience in contrast to a corresponding standard search interface.