*NISO Two Part Webinar, Discovery and Online Search*

*Wednesdays, June 12, and June 19, 1:00 pm – 2:30 pm (Eastern Time)*

We all know that automated personal assistants can find you the closest gas
station or sushi spot. But can that same technology be programmed to find
the best ten articles for a student’s assignment? The capability is
unclear, as is the advisability of the task. But what* is* clear is that
voice-driven technology as well as arbitrary algorithms are changing the
ways in which users may be driving or directed in their information tasks.
Taxonomies, controlled vocabularies, and similar tools have been used for
decades in delivering effective online search. But now, with Alexa and Siri
potentially being in the room, shouldn’t libraries and vendors be talking
about what’s operating under the hood?

*Wednesday, June 12, Part One: Drivers of Change in Online Search*

Confirmed speakers include: *Jim Hahn*, University of Illinois; *Kelly
Dagan*, Amherst College; *Chad Mairn*, St. Petersburg College.

Here’s what those speakers will be addressing in Part One:

*Student perspectives on personalized account-based recommender systems in

A personalized account-based recommender was developed in the University of
Illinois Library's mobile app interface. The recommender system (RS) was
derived from data mining topic clusters of items that are checked out
together. Using the library mobile RS as a prompt to understand student
preferences for personalized account-based RS, structured interviews were
undertaken and analyzed thematically to determine RS features and
functionality desired. In the interviews, students described their
perceptions of RS, together with features and functionality desired.
Students indicated that they desired data stewardship and sharing levels,
which provided valuable input into matters of system transparency
pertaining to recommendations derived algorithmically. An unexpected
finding from students was growing unease with aspects of surveillance
capitalism. Academic library recommenders can distinguish themselves from
commercial recommenders in several ways, including increased transparency
beyond what is available in commercial systems, and by attending to the
level of student privacy, and data retention a system design issue.
*Alexa, get me the articles: user experience and voice interfaces in

Our users in academia are influenced by larger interface trends; what
becomes common practice shapes user expectations. With the rise of voice
assistants and other voice-controlled interfaces in our daily lives, user
hopes and expectations are potentially shifting when it comes to the
academic experience. I’ll discuss some of the overall themes driving how
users engage with voice-controlled and discovery environments and
associated user hopes for what voice-controlled interfaces could achieve.
*Introducing How to Build a Personal Voice Assistant*

On many levels, we are starting to see our society transformed because of
artificial intelligence. One example is voice-controlled interfaces,
sometimes referred to as personal voice assistants or digital assistants,
where computers and humans are interacting in a variety of ways to
accomplish certain tasks. In fact, experts reveal that by 2020 there will
be 50 billion connected devices interacting with and reporting data in
real-time via the “Internet of Things” network. In this webinar, learn the
ins-and-outs of how a Google Voice AIY kit was assembled to use artificial
intelligence (machine learning, natural language processing etc.) to power
a personal voice assistant via Google’s Cloud Speech-to-Text and other

*Wednesday, June 19, **Part Two: Personalized Content, Personal Data*

Confirmed speakers include: *Bob Kasenchak*, Access Innovations; *Scott
Young*, Montana State University; *Amanda Wheatley *and *Sandy
Hervieux, *McGill

*NOTE: NISO Library Standards Alliance (LSA) members automatically receive
access to both sessions of this two-part event.  *You can check your
institutional membership status here <>.

*Remember that NISO offers a variety of registration options. *Non-members
of NISO may register for one session or for both at a packaged rate. Access
to an archived recording of the event is always included in your
registration fee, regardless of membership status.

To register online by credit card for the bundled event, use this form.

Need to use another form of payment? Use this form.

To register* solely *for Part One of this two-part webinar, use this form
*.* To register for Part Two *only, *use this form.

Need to use another form of payment? Use this form.

Have questions? Get in touch:


3600 Clipper Mill Road

Suite 302

Baltimore, MD 21211-1948

Phone: +1.301.654.2512

Email: [log in to unmask]