Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion
By: Markus Bink , Marten Risius , Udo Kruschwitz and more
Potential Business Impact:
Helps people find better answers online.
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 this demo, we present an interactive search companion that seamlessly integrates expert search strategies into existing search engine result pages. Providing context-aware tips on clarifying information needs, improving query formulation, encouraging result exploration, and mitigating biases, our companion aims to foster reflective search behaviour while minimising cognitive burden. A user study demonstrates the companion's successful encouragement of more active and exploratory search, leading users to submit 75 % more queries and view roughly twice as many results, as well as performance gains in difficult tasks. This demo illustrates how lightweight, contextual guidance can enhance search literacy and empower users through micro-learning opportunities. While the vision involves real-time LLM adaptivity, this study utilises a controlled implementation to test the underlying intervention strategies.
Similar Papers
From Tool to Teacher: Rethinking Search Systems as Instructive Interfaces
Human-Computer Interaction
Teaches you to find and understand information better.
In-Browser Agents for Search Assistance
Human-Computer Interaction
AI helps you search the web without sharing your data.
Context-Aware Intelligent Chatbot Framework Leveraging Mobile Sensing
Human-Computer Interaction
Helps phones understand you by watching what you do.