Interactive Information Retrieval은
정보검색에서 좀 더 사용자(user)측면을 강조한 것으로,
주요 이슈는
- 사용자 검색 니즈와 검색어 의도 분석 (information needs and query intent)
- 정보 검색 행동 모델 ex. Bates' Berrypicking, Dervin's sense-making theory 등 - 검색 사용자 인터페이스 ex. 검색결과 프리젠테이션
- 사람들이 어떻게 검색 품질이나 검색 시스템을 평가하는지
등이 있다.
지난달 토요인지모임에서 발표했던 "Interactive Information Retrieval" 발표자료.
발표자료에는
- Interactive Information Retrieval
- Models of Information Seeking Behavior
- Evaluation of Interactive Information Retrieval Systems with Users
- Relevance in Information Retrieval
- Search User Interfaces
등의 내용이 포함되어 있다.
Interactive IR
interactive IR is more than simply developing interfaces for searching (Shneiderman, Byrd, & Croft, 1998) and that the strength of good research in IIR comes not only from a technical knowledge of interactive systems development but also from a knowledge of people’s search behavior and search context, including the environmental factors that influence behavior (Fidel & Pejtersen, 2004).
Interactive information retrieval (IIR) is, of its nature, cognitive. One important goal for IIR research is to study user interaction with a search system to learn about the user’s search intent and when they encounter relevant documents. Taking account of the user and her context has potential to improve understanding of the search process and the user’s intent. A search system that “knows” this information can improve its performance in retrieving documents that satisfy user’s needs. Awareness of demands imposed onuser’s cognitive processing and levels of user’s knowledgecan also contribute to improvements in system performance.
- from "Inferring Cognitive States from Multimodal Measures in Information Science"
IIR issues
information seeking behavior related information needs and query intent
Models of the Information Seeking Process
Design of Search User Interfaces
Presentation of Search Results
includes document surrogates, properties of results listings, summaries (snippets) as used in search results