WEBVTT

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This video is an introduction to the new
AI Research Assistant tool on the

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library catalogue.

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The purpose of this video is to give you
an overview of what the tool is,

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what it searches, how it searches,
where to find it,

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together with its uses and limitations.

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We will also provide some current usage
statistics and information on future

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planned updates.

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The library has been trialling the beta
version of this tool since September,

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where initial responses have overall been
very positive.

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Simplifying the initial research process
for users,

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it returns material from trusted academic
sources only.

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So why should we use this new AI tool?

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According to its developers,
Primo Research Assistant provides

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immediate answers to natural language
queries and offers visibility into

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sources and references so libraries can
empower users with a seamless discovery

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experience grounded in trusted content
and advance institutionally scholarly

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goals.

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Put more simply, as the name suggests,
it uses artificial intelligence to assist

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you in your search.

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Instead of searching and combining
keywords with Boolean operators,

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you can ask it a question using everyday
natural language.

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Users benefit from the results found
across the whole of the CDI so can view

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abstracts of relevant non-subscribed
sources in addition to the full text of

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subscribed sources.

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Additionally,
users can ask questions and receive

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answers in multiple non-English languages,
including Welsh.

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So what exactly does the new AI research
tool search?

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It searches across the whole CDI,
which includes over 5 billion records,

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including sources subscribed to by other
institutions which we may not have full

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access to.

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You will only be able to access the full
text of those we subscribe to,

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but you can view the abstracts of others
and request via our Need More

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Interlibrary Loan service.

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Some library-subscribed sources are
excluded from the search for permission

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or incompatibility reasons.

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Where to find it?

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It is available from the top ribbon in
the library catalogue.

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You will need to sign in to access and it
is not currently available to non-UWTSD

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staff or students.

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Where do you start?

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Simply input your question using natural
language into the search box and click

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the icon to select your filters.

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These are currently limited to resource
type and date.

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As with any other AI tool,
the more specific you can be with your

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prompt, the better your results will be.

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Your results page will contain a list of
the top five results,

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an AI-generated overview of the abstracts
of the top five and how they relate to

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your question and further related
research questions you may wish to

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explore.

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The tool will return a list of the top
five results based on an abstract search

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in the CDI.

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These may include results to which our
library does not currently subscribe.

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The final option provides a link to all
our subscribed sources for you to explore

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further.

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It is important to note that these
results are just the starting point and

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further exploration is vital.

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Simply click on a listed source to read
the abstract and access any library-

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subscribed material.

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From here you can download the PDF or
click on the Full Text Online option to

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read the full article.

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For sources which are not currently
subscribed to by our Library or not

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available via Open Access,
you will be given a More details and

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Request Options below the abstract.

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This will take you into our library
catalogue and offer you the opportunity

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to request the article via our
Interlibrary loan,

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Need More service.

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The overview is an AI-generated overview
of the information found within the

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abstracts of the top academic sources the
tool has located.

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It includes the citations for you to
explore further.

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To explore what else we hold in the
library related to your search question,

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simply click on the final link in the
source result list.

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This will export the Boolean query the
LLM has created into our library

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catalogue.

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Using this query you can then further
filter to expand or narrow your search

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and also add other terms if required.

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It is a good idea to copy the search
string and paste into a Word document so

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you can see which terms the AI tool has
used to create the original search and

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results. Using this search string,

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note down any keywords and concepts to
help you search individual databases and

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create your own search string and
strategy.

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Finally,
the tool also provides related questions

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for you to browse.

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This may be useful when you are not quite
sure of the final scope of your research,

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as it allows you to explore alternatives.

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Each one will open up into a new search
and topic. How it works.

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When you enter your question into the
tool,

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it sends it to its large language model
or LLM to convert into a Boolean query

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with different variations.

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This query is sent to the CDI to retrieve
relevant results.

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The top results are re-ranked to produce
the top five results based on the

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abstracts.

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They are returned to the LLM to generate
an AI overview.

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The overview sources and further related
questions are returned to you to explore

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further. Some key points to remember.

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The tool allows students to search for
academic sources within a secure

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environment.

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The use of reality augmented generation,
or RAG, lowers the risk of hallucinations.

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The search will bring back both library
subscribed and non-subscribed resources,

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so provides a larger resource base.

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It also retains your history,
so it's a useful starting point for any

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research.

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The filters, while still limited,
are a good function.

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However,
you must remember that it cannot search all

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are subscribed resources and so ProQuest
sources may appear more frequently.

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There are additional databases which are
not included in the search so we always

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recommend, as with any search strategy,
to perform additional searches in

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individual databases to ensure a
comprehensive search of all the

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literature.

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The tool was introduced in September 2024
and we have had some good interactions

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with it during the first term,
which currently only measures clicks and

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sessions but does give an early
indication of how well it is being used.

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UWTSD are early adopters as not many
other universities are currently

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implementing this tool.

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Improvements are being released quarterly
and we have recently had the filter

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option added. As we are currently
trialling the beta version in our Library,

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quarterly improvements are being released.

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Improving the conversation tool is
currently being explored by the software

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company so users can use multi prompting
in the same way as other AI chat tools

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such as ChatGPT to help refine their
search.

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We are also optimistic that statistical
reporting will improve so we can observe

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what and how users are searching.

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Together with the addition of local
records,

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the overall user experience will be
improved over time.

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The tool is very simple to use and we
advise all staff to explore so they can

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advocate to their students.

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There are some useful links provided here
if you wish to explore further.

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But as always,
you can contact your Academic Liaison

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Librarian for a chat or to deliver a
research session incorporating this new

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tool.