Model-driven formative evaluation of exploratory search: A study under a sensemaking framework

  • Authors:

  • Yan Qu;George W. Furnas

  • Affiliations:

  • School of Information, University of Michigan, 304 West Hall, Ann Arbor, MI 48105, USA;School of Information, University of Michigan, 304 West Hall, Ann Arbor, MI 48105, USA

  • Venue:
  • Information Processing and Management: an International Journal
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

The evaluation of exploratory search relies on the ongoing paradigm shift from focusing on the search algorithm to focusing on the interactive process. This paper proposes a model-driven formative evaluation approach, in which the goal is not the evaluation of a specific system, per se, but the exploration of new design possibilities. This paper gives an example of this approach where a model of sensemaking was used to inform the evaluation of a basic exploratory search system(s) in the context of a sensemaking task. The model suggested that, rather than just looking at simple search performance measures, we should examine closely the interwoven, interactive processes of both representation construction and information seeking. Participants were asked to make sense of an unfamiliar topic using an augmented query-based search system. The processes of representation construction and information seeking were captured and analyzed using data from experiment notes, interviews, and a system log. The data analysis revealed users' sources of ideas for structuring representations and a tightly coupled relationship between search and representation construction in their exploratory searches. For example, users strategically used search to find useful structure ideas instead of just accumulating information facts. Implications for improving current search systems and designing new systems are discussed.