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Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
Search, Serendipity & the Researcher Experience
Lettie Y. ConradER&L, 2016
Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
Lettie Y. Conrad
Executive Program Manager, Discovery & Access
At SAGE, we take seriously our obligation to ensure readers get to the SAGE content they need as smoothly and effectively as possible wherever their starting point and regardless of their device.
Los Angeles | London | New Delhi | Singapore | Washington DC | MelbourneCredit: Wikipedia, railroad switch
SAGE Reader Pathways
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SAGE White PapersLettie Conrad & Alan Maloney
http://bit.ly/23Z99d4
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Expecting the Unexpected
What do users need beyond search?How are those needs and expectations formed? Does demography or context impact these expectations?How are publishers servicing those indirect discovery needs?What happens when users aren’t sure what they’re looking for?
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Research Methods
UX research Survey Interviews
Undergraduate Students u u
Masters/PhD Students u u
Faculty u u uContent & Tech
Providers u
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Defining terms
• Types of search
• Known-item searching
• Exploratory searching
• Re-finding
• Don’t know what you need to know
SERENDIPITY!
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What is serendipity?
1. the finding of unexpected information (relevant to the goal or not) while engaged in any information activity
2. the making of an intellectual leap of understanding with that information to arrive at an insight.
Andre, P., Teevan, J., Dumais, S. T., ‘Discovery Is Never by Chance: Designing for (Un)Serendipity’, C&C ‘09, October 26-30, 2009, Berkeley, California, USA
Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
Why does serendipity matter?• Students and researchers re-frame their information need as
they go
• Some useful information discoveries are unintentional
• People like serendipity: it delights users
Designing for serendipity may be the holy grail of the search experience.
Russell-Rose, T., Tate, T. (2013). Designing the Search Experience: The Information Architecture of Discovery. Waltham, MA: Morgan Kaufmann.
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Beyond search
• Email alerts
• Following citations
• Human recommendations
• Machine recommendations / relatedness
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Recommendations as discovery
90% faculty 78% students
Online recommendations are about as useful than those I receive from peers
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Context is key!How important are the following factors when evaluating recommended content?
• Related to my field of study• Can access the full text• Recognize / trust the provider
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Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
Listed as "also read" by other users
From a recognized / trustworthy publisher
Recommended by a peer / faculty member
From a known author / expert
Uses your search terms / keywords
Titles that look interesting / compelling
Relevant to your field
Titles that appear relevant for your studies
0.00% 25.00% 50.00% 75.00% 100.00%
When presented with links to recommended content, which factors motivate you to click on one or more
such links? (check all that apply)
Faculty Undergrads
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Content types – students
1. Journals2. Books3. Case studies4. Multimedia
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Content types – faculty
1. Journals2. Books3. Stats / datasets4. Conference reports
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Industry research
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The popular-personal continuum
Popular Personal
Big data Small data
Network-driven Content-driven
mass market retail
entertainment
scholarly research
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(Our) principles for serendipitous discovery
Academic research is personal
Content-focused, not behaviour-focused
Point of serendipitous discovery is the current, specific
information need
Serendipity should be unexpected
Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
Los Angeles | London | New Delhi | Singapore | Washington DC | Melbourne
Thank you!
Lettie Y. Conrad
SAGE White Papershttp://bit.ly/23Z99d4