Blending Queries and Conversations: Understanding Trust, Verification, and System Choice in Search and Chat Interactions

This paper presents a user study (N=22) where participants used an interface combining Web Search and a Generative AI-Chat feature to solve health-related information tasks.We study how people behaved with the interface, why they behaved in certain ways, and what the outcomes of these behaviours were.A think-aloud protocol captured their thought processes during searches.Our findings suggest that GenAI is neither a search panacea nor a major regression compared to standard Web Search interfaces.Qualitative and quantitative analyses identified 78 tactics across five categories and provided insight into how and why different interface features were used.We find evidence that pre-task confidence and trust both influenced which interface feature was used.In both systems, but particularly when using the chat feature, trust was often misplaced in favour of ease-of-use and seemingly perfect answers, leading to increased confidence post-search despite having incorrect results.We discuss what our findings mean in the context of our defined research questions and outline several open questions for future research.

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Publication Details

Published
2025-03-24
DOI
https://doi.org/10.1145/3698204.3716454
Citations
8
Primary Topic
Information Retrieval and Search Behavior
Type
article
Field-Weighted Citation Impact
25.97
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article

Blending Queries and Conversations: Understanding Trust, Verification, and System Choice in Search and Chat Interactions

David Elsweiler, R. Capra, Klaus Mayerhofer
8 citations
Information Retrieval and Search Behavior
25.97
article

Blending Queries and Conversations: Understanding Trust, Verification, and System Choice in Search and Chat Interactions

David Elsweiler, R. Capra, Klaus Mayerhofer
article en
8 citations

Abstract

This paper presents a user study (N=22) where participants used an interface combining Web Search and a Generative AI-Chat feature to solve health-related information tasks.We study how people behaved with the interface, why they behaved in certain ways, and what the outcomes of these behaviours were.A think-aloud protocol captured their thought processes during searches.Our findings suggest that GenAI is neither a search panacea nor a major regression compared to standard Web Search interfaces.Qualitative and quantitative analyses identified 78 tactics across five categories and provided insight into how and why different interface features were used.We find evidence that pre-task confidence and trust both influenced which interface feature was used.In both systems, but particularly when using the chat feature, trust was often misplaced in favour of ease-of-use and seemingly perfect answers, leading to increased confidence post-search despite having incorrect results.We discuss what our findings mean in the context of our defined research questions and outline several open questions for future research.

University of North Carolina at Chapel Hill (US), University of Regensburg (DE)
Openalex Percentile: Top 1%
Information Retrieval and Search Behavior
25.97
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