Access 2016

In this session, we’ll look at how inferred and contextual aspects of a search query can offer new ways of thinking about the “10 blue links” of a search result page. We present one possibility for evolving library search by introducing the ideas and processes behind enhancements that apply time, space, and query analysis data within our search interfaces. In our search prototype, we demonstrate how anticipatory design models and “intention [data] mining” of search queries create a new kind of search experience: a search that anticipates your questions. We consider the benefits and pitfalls of anticipatory design models as we look to understand the intentions of search queries and the physical/network locations of our users. In redesigning “search as a conversation”, we’ll consider how the anticipatory design model raises questions about privacy and we’ll present preliminary usability findings that look to understand where the line between adding value to a system ends and feelings of surveillance arise.