Original version
CEUR Workshop Proceedings. 2017, 1798, 22-25
Abstract
Due to the tremendous advances in information retrieval in the past decades, search engines have become extremely e!cient at acquiring useful sources in response to a user’s query. However, for more sustained and complex information seeking tasks, these search engines are not as well suited. During complex information seeking tasks, various search stages may occur, which imply varying support needs for users. However, the implications of theoretical information seeking models for concrete search user interfaces (SUI) design are unclear, both at the level of the individual features and of the whole interface. Guidelines and design patterns for concrete SUIs, on the other hand, provide recommendations for feature design, but these are separated from their role in the information seeking process. This paper addresses the question of how to design SUIs with enhanced support for the macro-level process, "rst by reviewing previous research. Subsequently, we outline how three types of SUI features can be recombined to form a supportive framework for complex tasks. We provide concrete recommendations for designing more holistic SUIs which potentially evolve along with a user’s information seeking process.