College and Research Libraries


Robot at the Reference Desk? 
Karen F. Smith 

To enhance the productivity of reference librarians, libraries might consider ways to tap their 
expertise while the librarians themselves are off duty. This paper describes an experimental 
microcomputer program designed to provide reference assistance for federal documents in a 
separate government documents department during hours when the regular staff members are 
not available. By making choices from a series of menus the patron conducts his or her own 
reference interview and is given a short list of appropriate books to consult. Overcoming diffi-
culties in the development of expert systems for use in reference work is discussed. These in-
clude carving out a discrete area of reference work to computerize, identifying the basic strate-
gies or librarian tricks of the trade to incorporate, and providing a workable human/computer 
interface. 

hese actual headlines-''Robot 
Performs Household Chores,' ' 1 

''Robot Chosen for Commence-
ment Speaker, " 2 "Robot Joins 

Police, " 3 "Robot Nurse Reacts to Voice 
Requests, "

4 
"Robot Helps Perform Brain 

Surgery,'' 5 "Robot Documents Librarian 
to be Tested at University," 6-are all, ex-
cept the last one, probably factual. The ro-
bot librarian, unfortunately, is still just a 
dream. 

I say "unfortunately" because a robot li-
brarian might be just the thing to relieve 
us from overwork, burnout, boredom, 
and frustration . Academic reference li-
brarians are caught up in a situation where 
there are too few people to do the work 
that needs to be done; the job keeps ex-
panding; the reference sources prolifer-
ate; information retrieval becomes in-
creasingly complex; and, in spite of all our 
efforts at bibliographic instruction, naive 
end users continue to parade through our 
turnstiles. We are committed to making 
our users "library literate" but how many 
times can you explain how to find periodi-
cals in the library without sounding like a 
robot yourself? 

Three years ago State University of New 

York (SUNY) at Buffalo experienced se-
vere staff cuts and I found myself the sole 
librarian in the government documents 
department. The department was open 
ninety hours per week. We had a collec-
tion of 350,000 items classified and 
shelved by Superintendent of Documents 
(SuDoc) numbers but not cataloged. Pro-
fessors were asking for tours and biblio-
graphic instruction sessions. What could I 
do? At first I tried to cope by depending 
more on the clerical staff and the student 
assistants to provide patron assistance. 
We hired graduate students to work 
nights and weekends. But, it soon became 
apparent that training student assistants 
to do reference work would be an endless, 
repetititve, and extremely time-
consuming task. It just didn't seem like an 
effective way to increase the productivity 
of the librarian. 

At about the same time, articles on ex-
pert systems began to appear in computer 
journals. Artificial-intelligence research 
was beginning to pay off.. Systems had 
been developed that could do real work 
and it seemed to me that this was exactly 
what the library world needed to liberate 
their experts. 

Ktzren F. Smith is Head of the Documents and Microfonns Department at the Lockwood Library, State Uni-
versity of New York, Buffalo, New York 14260. This paper was presented at theACRL Fourth National Confer-
ence in Baltimore, April 9-12, 1986. 

486 



THE PROJECT 

If a computer could diagnose bacterial 
infections and prescribe treatment why 
couldn't a computer diagnose an informa-
tion need and prescribe a reference book 
to solve the problem? Furthermore, the ar-
ticles said that a secondary function of the 
expert system . was training aspiring but 
neophyte experts, and I figured it would 
be easier to teach the student assistants 
how to tap into a computer system than to 
teach them everything I had learned dur-
ing fifteen years of working with docu-
ments. 

I had no idea how to create an expert 
system but I gathered from the articles 
that you needed a knowledge engineer. 
The knowledge engineer talks to experts 
about what they know and how they do 
their jobs. Expert systems are based on the 
premise that the problem-solving ability 
of the expert is an outgrowth of his or her 
knowledge base. If that knowledge can be 
identified and transferred to a computer 
then the computer can also solve prob-
lems. It is the knowledge engineer's job to 
extract the pertinent information from the 
expert's head and program the computer 
accordingly. 

I found a professor in our computer sci-
ence department who was involved in ex-
pert systems research. Surprisingly, he 
was interested in how reference librarians 
"do their thing" and he was willing to 
work with me on such a project . We got a 
small grant from the Council on Library 
Resources, hired a graduate student, and 
proceeded to investigate the feasibility of 
developing a computer-assisted govern-
ment documents reference capability. By 
the end of the summer we had a program 
written in LISP, designed to be used by an 
ordinary person, which would lead the 
person through a decision process to pin-
point the most useful of the fifty or so ref-
erence books in the documents depart-
ment for that person's particular need. 
Since then, the program has been trans-
lated into BASIC and runs on an IBM PC. 
We call it Pointer. 

The system is limited, by design, to just 
one step in the reference process: the step 
where the reference librarian chooses a 

Robot at the Reference Desk 487 

( 
reference book to satisfy the patron's in-
formation need. We give the call number 
of the book and assume the patron can 
find it on the shelves and figure out how to 
use it. The reference interview is handled 
by providing an overview of government-
produced information in the form of 
menus and letting the patron choose the 
area that most closely matches his or her 
inquiry. The basic choice is whether the 
person is looking for a specific document 
or looking for information on a topic J [See 
appendix A]. / 

PROBLEMS 

Grappling with a real project such as 
this is a good way to experience firsthand 
the problems facing artificial-intelligence 
research. The first problem involves speci-
fying a suitable domain for the expert sys-
tem. The knowledge-based systems that 
have been developed up to now operate 
on a rather small body of facts as com-
pared to the total body of recorded knowl-
edge that is the domain of the general ref-
erence librarian. The librarian's ability to 
switch mental gears instantly and place 
each new inquiry in its proper context is a 
most difficult feat for the computer to rep-
licate. 

Expert systems operate in specialized, 
well-defined subject areas, whereas gov-
ernment publishing gets into all subject 
areas. So there was some question about 
whether government documents librari-
anship was a manageable domain for an 
expert system. I reasoned that the biblio-
graphic knowledge of the documents li-
brarian is less dependent on subject exper-
tise than on other factors. Whether the 
librarian recommends using the Publica-
tion Reference File or the Monthly Catalog is 
not so much dependent on the topic of the 
inquiry as it is on factors such as the pur-
pose of the inquiry, time period involved, 
or specificity of bibliographic information 
available to work with. Government doc-
uments is a specialty area within librarian-
ship. It is an area often handled separately 
in research guides. Thus it seemed reason-
able to try to develop an expert system to 
handle the types of questions fielded by 
the documents librarian. 



488 College & Research Libraries 

On the other hand, the domain must be 
complicated enough to make good use of 
the capabilities of the computer. If you can 
describe fifty document reference tools on 
a handout with a chart showing when to 
use what, why do you need a fancy com-
puterized system? My premise is that peo-
ple won't read the descriptipns of fifty ref-
erence books. People want individualized 
attention. And they don't want to learn 
about CIS Index when what they need is 
ASI. Most librarians concede that govern-
ment documents reference is complicated. 
You can make do with the Monthly Catalog 
if you have to but there are times when 
other tools do the job more quickly. We 
decided that a system that would direct a 
library patron to one or more of the fifty 
most-used reference tools in the docu-
ments department would be a system 
worth developing. 

After you have specified the domain, 
the next problem is to identify the knowl-
edge that one must have to operate in that 
domain. What does the expert need to 
know before making a decision? What are 
the facts that lead to a particular conclu-
sion? What rules of thumb does the expert 
use? Most of us don't think about what we 
do, we just do it. So, figuring out how we 
do it can be· a time-consuming, although 
valuable, process. There are those who be-
lieve that this is the most important aspect 
of expert-systems research. Capturing 
knowledge that has never before been 
written down is a contribution in and of it-
self. However, this transferring of knowl-
edge from the human expert to the com-
puter system is proving to be the 
bottleneck slowing down the advance-
ment of expert-systems development. If 
the knowledge engineer is unfamiliar with 
the field of expertise, the process is even 
slower. 

My knowledge engineer, a graduate 
student in computer science, had never 
worked on an expert system before so we 
proceeded in a rather ad hoc manner. Ac-
tually, we were not atypical. This whole 
field of endeavor is so new that there are 
few established methods. We had two 
things to work with: the list of reference 
tools and a collection of reference ques-

September 1986 

tions asked in the department during the 
previous eighteen months. We operated 
from both ends toward the middle. 

From the collection of reference ques-
tions we knew that the service we perform 
most often is helping people locate spe-
cific documents already known to them. 
In the case of federal documents this 
means identifying the SuDoc number; a 
relatively straightforward procedure 
when the title and date are known and 
easy to program. The more difficult task 
was dealing with requests for information 
on a topic, for that required providing . a 
conceptual framework for the govern-
ment documents domain. Branch of gov-
ernment, type of answer needed, time pe-
riod, type of reference book-nothing was 
quite adequate and we never did solve this 
problem to our complete satisfaction. I felt 
I was delving into the fundamental mys-
teries of the universe. I still keep hoping 
for one of those "Ah ha!" experiences 
where the big picture suddenly becomes 
clear and all the pieces fall neatly into 
place. 

However, in addition to the supply of 
reference questions, we also had our refer-
ence tools as a resource to guide us. We 
asked, ''What is this book good for? What 
does it do?" Library card catalogs, for the 
most part, do not describe reference books 
adequately. The people who can benefit 
from CIS Index are not going to be looking 
in the subject catalog under Law-United 
States-Indexes. And how is the card United 
States-Statistics going to reveal the power 
of ASI Index? Even reference librarians 
sometimes have trouble finding sources in 
the card catalog when they know they ex-
ist but have forgotten the exact title. A 
computerized reference system lends it-
self to in-depth indexing to bring out the 
special features of every reference tool. 
Many reference books have secondary 
uses, hidden information that only the fre-
quent user is aware of. The computer 
makes it possible to find those secret gems 
again because the computer never forgets. 
The computer will always remind the pa-
tron that the defunct agencies listed in ap-
pendix A of the U.S. Government Manual 
are not included in the index. Do you? 



By working with what the people 
wanted to know and with what the refer-
ence books had to offer, we developed an 
outline of government information re-
sources that is pragmatic, if not elegant. 
The next big problem was how to commu-
nicate with the computer. Although there 
are computers on the market that respond 
to voice commands and there are com-
puters that talk, science is very far from 
developing a computer system that can 
listen to a person's voice request and re-
spond like a librarian. So, we used a sim-
ple menu based system for Pointer. Menu 
choices have the advantage of being read-
ily understood by both people and com-
puters. Expert systems that demand com-
munication in a specialized language will 
not be appropriate for libraries. 

Twenty years ago, Jesse Shera wrote 
about automation and the reference librar-

Robot at the Reference Desk 489 

ian. He said, "The important point . .. is 
that the machine problems per se are well 
on the way to solution; the great unsolved 
problems are those which are fundamen-
tal to the reference situation itself. In 
short, we can now build the machines . . . 
but we do not know how to use them intel-
ligently in the reference library environ-
ment. The machines are ready for us, or 
very soon will be, but we are still very far 
from being ready for machines. " 7 Today, I 
believe, we are ready; not eager perhaps, 
but accepting of the fact that the computer 
will occupy a position of importance in the 
reference setting. Computers never get 
tired, or cross, or bored. They have the po-
tential to provide a consistent, if minimal, 
level of service at the reference desk, free-
ing the librarian to work on problems re-
quiring more creativity or demanding 
greater intellectual effort. 

REFERENCES 

1. Los Angeles Times 5:21 Gune 22, 1984). 
2. Washington Post 2:6 (May 1, 1983). 
3. Los Angeles Times 2:1 Gan. 20, 1984). 
4. Buffalo News 2:11 (Apr. 14, 1985). 
5. Buffalo News 1:8 (Apr. 18, 1985). 
6. Library Journal110:30 (Feb. 1, 1985). 
7. Jesse Shera, "Automation and the Reference Librarian," RQ 3:7 (July 1964). 

RELATED READING 

McCorduck, Pamela. The Universal Machine: Confessions of a Technological Optimist (New York: 
McGraw-Hill, 1985). 

Naylor, Chris. Build Your Own Expert System (Wilmslow, Cheshire, U.K.: Sigma Technical Press, 1983). 
Smith, Dana E., and Steve M. Hutton. "Back at 8:00AM; Microcomputer Library Refernce Support 

Programs." Collegiate Microcomputer 2:289 (Nov. 1984). 

APPENDIX A: SAMPLE SEARCH 

Welcome to the Documents Department. This system will help you find reference books 
for U.S. documents. If you need New York State or Canadian documents, please see the 
librarian. The key to the federal documents collection is the Superintendent of Docu-
ments (SuDoc) number. The SuDoc number arranges documents on the shelves by issu-
ing agency, not necessarily by subject. If you have a citation which includes the SuDoc 
number, you can proceed directly to the shelves. Otherwise you will be directed to vari-
ous catalogs and indexes in the reference collection where SuDoc numbers can be lo-
cated. The following are typical SuDoc numbers: EP 1.2:L44/3 Y4.G79/2:M64 LC 1.1:982. 
Do you wish to continue? Type 'yes' or 'no' and press RETURN. 



------------------------------------------------ ---~------~--------------~~~=----, 

490 College & Research Libraries September 1986 

******************************************************************************** 

YES 
******************************************************************************** 

Are you looking for: 

1. a particular document for which you have a title? 
2. a particular document for which you have some number such as a bill number? 
3. information on some subject? 
Select your choice by entering 1, 2, or 3 and press RETURN 
******************************************************************************** 

3 
******************************************************************************** 

Do you want: . 
1. Biographical information? 
2. Numeric data? 
3. Laws concerning your subject? 
4. Regulations concerning your subject? 
5. Court cases concerning your subject? 
6. Executive orders or presidential statements? 
7. Information produced by the Congress? 
8. Bills concerning your subject? 
9. Names, addresses, or phone numbers? 

10. Information contained in treaties? 
11. Information in technical reports? 
12. Information about grants, fellowships, or jobs? 
13. Periodical articles? 
14. General information from pamphlets or books? 
15. Something not covered above? 
Select 1-15 by entering the appropriate number, and press RETURN. 
******************************************************************************** 

1 
******************************************************************************** 

Use the following sources: 
1. The Official Congressional Directory located in the reference collection, DOC REF 
JK1011. See the heading 'Biographies' in the front of the book and the Individual Index in 
the back. 2. The CIS Index located on the index table, DOC REF Z1223 A22. This reference 
tool can be used for information covering 1970 to the present. 3. The Congressional Record 
located in the reference collection and the stacks under SuDoc number X/(session of Con-
gress). See the annual index for the year the person died, was appointed, or otherwise 
became prominent. 4. The Cumulative Subject Index to the Monthly Catalog located in the 
reference collection, DOC REF Z1223 A182 . See the heading 'Biography' as well as the 
names of individuals. 5. The Biographical Directory of the American Congress located in · 
the Lockwood reference collection, Ref JK1010 A5 1971. 6. The Congressional Staff Direc-
tory located in the reference collection, Ref JK1012 C66.