交互式搜索助手通过实时提示提升用户检索效率与批判性思维。
Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion
- 在搜索结果页嵌入情境化建议，引导用户优化查询与探索结果。
- 用户查询量提升75%，查看结果数翻倍，复杂任务表现显著改善。
- 适合希望提升数字素养的普通用户与健康信息搜寻者。
许多用户在在线搜索中表现不佳，尤其在医疗等高风险领域，常高估自身数字素养。本演示展示了一款交互式搜索助手，可无缝集成至现有搜索引擎结果页面。该助手提供情境化提示，帮助用户明确信息需求、优化查询表达、鼓励结果探索并减少认知偏见，旨在培养反思性搜索行为，同时降低认知负担。用户研究表明，该助手有效促使用户更主动、更深入地搜索，查询次数增加75%，查看结果数量约翻倍，且在复杂任务中表现提升。本演示说明，轻量级、情境化的引导可增强搜索素养，通过微学习机会赋能用户。尽管未来愿景包含实时大模型自适应，本研究采用受控实现方式验证了核心干预策略的有效性。
原文摘要 · Abstract (English)
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.
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