Categorized | Social Media, Strategy, SxD, User Experience

Designing for Sociality in Enterprise Search

Posted on 01 December 2009 by semanticwill

A few weeks ago, I was able to collaborate with Brynn Evans in creating a presentation for Enterprise Search Summit West. Here is the description of the presentation as well as links to the original on SlideShare.

Social search has the potential to improve search practices beyond what is possible with traditional informational retrieval algorithms. Two different models of social search should be incorporated into enterprise and conventional search systems today. Collective Search involves aggregating social metadata, trends, and previous tags, bookmarks, or information shared by social networks. Collaborative Search, or question-answering, occurs when two or more participants actively engage in an information seeking task. Interactions include everything from replying to a one-time question to dually negotiating the query formation and relevancy of specific results to arrive at a shared consensus of best fit.

This talk will frame the relevant models of social search in the context of Brynn’s research, and discuss the potential benefits for both users as well as organizations. We will extend these trends and findings to concrete design considerations that we encourage system designers to consider in order to leverage social search capabilities within the enterprise.

Complete notes and citations were done by Brynn and everything can be found here.

Just got a nice review in EContent Magazine.

Fittingly, the ESS West track ended on Thursday with “Designing for Sociality in Enterprise Search,” presented by Will Evans, director of experience design, Semantic Foundry and researcher and author Brynn Evans (no relation. The duo delivered a highly conversational presentation about social interaction design, or what they call “SxD,” in a truly interactive way. As a team, they explored the various stages or manifestations of social search and provided a graphic look into its potential impact in the enterprise, revealing ideas about a potential engine and how it might work; incorporating things like “friend filtered search,” “social scents,” and even a suggestion box that says something like “You seem to be having trouble, would you like to ask your network for help?”

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