Serendipitous Discovery: A Critical Perspective

Given my passion for serendipitous discovery in libraries, I was delighted to read this paper by Patrick L. Carr:

Serendipity in the Stacks: Libraries, Information Architecture, and the Problems of Accidental Discovery (PDF)

It had never occurred to me to consider serendipitous discovery from this angle before. Serendipity can be construed as a failure of a user-centered information environment to properly meet the needs of a user. Perhaps serendipitous discovery isn’t a benefit so much as it’s a compensation mechanism for the failures of our search systems.

This suggests interesting avenues for inquiry and development. I think it’s a beneficial perspective. Serendipity isn’t all good and librarians should approach it strategically.

I’m particularly struck by this passage on page 18:

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Teaching Digital Literacy

I’ve spent quite a bit of time over these past few weeks thinking about digital literacy. I try to compare it to reading and language literacy.

The comparison is illustrative.

Consider language literacy:

  • It takes years to learn and master a language.
  • Immersion is universally recognized as the best way to learn a language.
  • The more words and phrases you’re exposed to, the more you’ll learn.
  • You have to start simple and work your way up to the complicated stuff over time.

Consider reading literacy:

  • It takes years to learn how to read.
  • Constant exposure to reading is the best way to learn—being read to, reading on your own.
  • The more you see other people in your daily life reading, the more likely you are to make reading a habit for yourself and the greater your comfort level with reading will be.
  • You have to start simple and work your way up to the complicated stuff over time.

“Years to learn,” “immersion,” “exposure,” “work your way up”—developing literacy is a long process that needs to be a part of your daily life. Literacy involves more than just the mechanical tasks of speaking and reading—it requires habit and a level of comfort.

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Thoughts On Automated Recommendation Services for Libraries – A Correction

Re-reading my post from last month, Thoughts On Automated Recommendation Services for Libraries, I realize that I’m somewhat wrong about the role of locality in automated recommendation systems. Amazon and Netflix can (and I think they do) integrate user location data in their recommendation algorithm. They can skew results based on strong trends that appear among proximate user groups.

I’m also somewhat wrong about how recommendations work in BiblioCommons—ratings and reviews for individual titles are aggregated from multiple libraries, as well as user-created reading lists. Reviews from local library staff are prioritized over others, but I don’t know if local library user-created reading lists are prioritized. Regardless, these are individually curated pieces of content, these sections aren’t automated in the same way that Netflix is. This content is related to an individual item in the catalog and doesn’t generate lists of recommendations as one typically expects from Readers’ Advisory services.

The “Similar Titles” type of content in the sidebar in BiblioCommons is what I think of when I look for reading recommendations, and this content is also the most directly analogous to Netflix / Amazon. However, this content doesn’t get generated by BiblioCommons at all—these titles come from third party services like NoveList.

So locality can be a meaningful factor in automated recommendation systems—such systems are smart enough to recognize that local trends are important, even if they aren’t yet intelligent enough to know what local trends mean.

But libraries still don’t have enough data to make such algorithms work. We still rely on curation and the personal touch to create real value for our patrons.

The Unnatural Phenomenon of Using a Mouse

My first real encounter with a usability challenge in a digital environment happened when I worked as a file clerk in a medical records office. We converted our office from paper records to electronic and had to learn a whole new computer-based record keeping system. One of the women who worked in the file room had never used a computer before. It was my job to teach her this new electronic system.

I’ve told this story before…

The biggest challenge for me was that I failed to comprehend the depth and breadth of my coworker’s digital illiteracy.

She didn’t know how to use a mouse. How do you teach someone to use a data system which functions through a GUI when they don’t know how to use a mouse?

Before I could even begin to teach her the new record keeping system, I had to teach her how to use computer peripherals.

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A Third Way for Net Neutrality?

Given what’s at stake in the current debate over net neutrality, it’s easy to approach the issue as either/or. The idea that there might be a third way to address the issue, one that’s less polarized and more plausible, is something to be seriously considered by parties on both sides.

AT&T’s fascinating third-way proposal on net neutrality by Brian Fung (posted by The Washington Post on September 15, 2014)

I like that this creates a case for compromise. It worries me, though, that no one seems able to envision how this would actually work. I’m very interested to see how this proposal develops or if other people present alternative “third-way” options.

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Thoughts On Automated Recommendation Services for Libraries

Librarians talk off and on about the need for us to offer Netflix / Amazon-style automated recommendations for our patrons. It seems almost self-evident that this is something patrons have come to expect. But there’s a self-evident question about this that we must ask:

Have patrons actually told us that they want this type of service from a library?

Or do we just assume that they want this?

A library doesn’t fulfill the same role in people’s lives that Netflix does, or that Amazon does. Our patrons don’t necessarily expect the same service models from us. We may be holding ourselves accountable to a false comparison here. This is a prime example of the need for us to base decisions on verifiable user data.
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Stop Calling It a “Bookless” Library

In his critique of the new “bookless” library in Texas, Adam Feldman states the essential value of libraries and librarians better than I’ve ever been able to:

This Librarian Is Not Impressed With Your Digital, No-Books Library (posted on Next City on August 8, 2014)

I’ve been following the development and launch of the BiblioTech Digital Library from the beginning. I have my own issues with it but there’s one thing in particular that bothers me:

Why do we keep calling it a “bookless” library?

This bothers me all the more because, as best I can tell, the people who created the BiblioTech library are the ones who first decided to call it that.

Let me make this as clear as I can:

Ebooks are books.

They’re legit. They’re not “less than” or ersatz or denigrated versions of books. Ebook collections at libraries aren’t “bookless” just because they’re digital.

It does libraries a disservice to devalue ebooks this way. Our patrons want ebooks and we devote significant time and effort to try and supply them. When we talk about ebooks as though they’re intrinsically second-class items, it demeans the wants & needs of our patrons, and it demeans our efforts & our work on this front.

If ebooks aren’t real books, then how do we justify the expense of maintaining e-collections?

We must get away from calling this thing a “bookless” library.

Amazon Unlimited

Last week, Amazon launched their new Kindle Unlimited service—$10 a month for unlimited ebook & e-audiobook loans direct through Amazon.

American Libraries Magazine wrote a reaction piece about it:

  • Amazon Unlimited by James LaRue (posted on American Libraries on July 18, 2014)

And Forbes posted this deliberately provocative op-ed piece:

A Google search turns up many more blogs and opinion pieces from librarians reacting to this. As one might expect, the Forbes post generated a tremendous hue-and-cry.
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Google’s New Material Design Philosophy

Recently, a coworker—knowing my fascination with UX and design philosophy—sent me a link to the following article:

Material world: how Google discovered what software is made of by Dieter Bohn (posted on The Verge on June 27, 2014)

Subtitled, “The next era of Google design is about software as substance,” it presents an intriguing take on where Google is heading in terms of their overarching design philosophy.

I love knowing that they’re thinking in terms of designing for how the human brain actually works—we need to be able to create mental models of our environment in order to fully function within it. That’s a psychological and neurological truth that’s been sorely neglected in the history of computer technology to date.

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The Real Challenge of the Digital Divide

This article raises an essential point about efforts to overcome the Digital Divide:

Technology Is Making Achievement Gaps Bigger by Annie Murphy Paul (posted on The Brilliant Blog on June 25, 2014)

The real issue we face when we address the Digital Divide isn’t access to technology.

The real issue is digital literacy.

Our most important task isn’t merely to provide access to technology. We also have to teach people how to use it effectively and safely. People who don’t have the opportunity to use technology on a regular basis also don’t have an opportunity to develop effective digital skills. To quote the article above:

Not only are affluent kids more likely to know how to Google; they’re more likely to know what to Google for.

More than that—digital literacy is about teaching people why technology matters, how it can help to make their lives better. People who have gotten along without technology so far may not always recognize why access to it matters now.

It does no good to hand technology to someone who has no idea how to use it. Any attempt to overcome the Digital Divide must go hand-in-hand with digital literacy education and development.