6 papers
Rules, Resources, and Restrictions: A Taxonomy of Task-Based Information Request Intents
Melanie A. Kilian, David Elsweiler
Understanding and classifying query intents can improve retrieval effectiveness by helping align search results with the motivations behind user queries. However, existing intent t…
Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion
Markus Bink, Marten Risius, Udo Kruschwitz +1
Many users struggle with effective online search and critical evaluation, especially in high-stakes domains like health, while often overestimating their digital literacy. Thus, in…
"Can You Tell Me?": Designing Copilots to Support Human Judgement in Online Information Seeking
Markus Bink, Marten Risius, Udo Kruschwitz +1
Generative AI (GenAI) tools are transforming information seeking, but their fluent, authoritative responses risk overreliance and discourage independent verification and reasoning.…
From Tool to Teacher: Rethinking Search Systems as Instructive Interfaces
David Elsweiler
Information access systems such as search engines and generative AI are central to how people seek, evaluate, and interpret information. Yet most systems are designed to optimise r…
Blending Queries and Conversations: Understanding Tactics, Trust, Verification, and System Choice in Web Search and Chat Interactions
Kerstin Mayerhofer, Rob Capra, David Elsweiler
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 stu…
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy
David Elsweiler, Samy Ateia, Markus Bink +8
While it is often assumed that searching for information to evaluate misinformation will help identify false claims, recent work suggests that search behaviours can instead reinfor…