Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866911380032978944 |
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| author | Bink, Markus Risius, Marten Kruschwitz, Udo Elsweiler, David |
| author_facet | Bink, Markus Risius, Marten Kruschwitz, Udo Elsweiler, David |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_11287 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion Bink, Markus Risius, Marten Kruschwitz, Udo Elsweiler, David Human-Computer Interaction Information Retrieval 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. |
| title | Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion |
| topic | Human-Computer Interaction Information Retrieval |
| url | https://arxiv.org/abs/2601.11287 |