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Transcript Service Learning
Marvin - A Conversational
Agent Based Interface for
the Study of Information
Sciences
Nives Mikelic Preradovic, Sanja Kisicek, Damir Boras
University of Zagreb, Faculty of Humanities and
Social Sciences, Department of Information Sciences
[email protected], [email protected], [email protected]
Outline
Who is Marvin?
Marvin’s knowledge base and reply
structure
Evaluation
Future work
Who is Marvin?
Who is Marvin?
Has a "brain the size of a planet"
which he is seldom able to use
No task he could be given would
occupy even the tiniest fraction of his
vast intellect
Why Marvin?
Aim was to build a virtual character that:
Is capable of engaging our undergraduate
students in a meaningful conversation
Has the ability to parse NLQ and, by referring to
a knowledge base, generate NLA
Will increase the students' interest in the Study
of Information Sciences, ease the search for
particular information and boost satisfaction with
the presentation of information
Aim was not to
design a tutor that would teach particular
subject matter
Marvin’s knowledge base
AIML: category (pattern,template, context:
that, topic)
Reqursion:
Marvin produces the same reply to different
query formulations that share the same or
similar meaning (teach-lecture-instruct)
AIML templates activated by the
appearance of a keyword anywhere in the
input
Keywords: the most probable user's queries
Knowledge base
Marvin’s reply
Tries to boost communication with the
user posing the questions
Topic change triggers the content of
the reply
Marvin attempts to follow the normal
flow and nature of the communication
Marvin’s replies are enhanced with
comments designed to convince the
user that Marvin is a student himself
Evaluation
The database was checked for accuracy,
interpretation and relevance to the types
and the level of questions being asked
50 inputs and answers per evaluator / each
evaluator spent 30 minutes on average
chatting with Marvin
Two perspectives: competent information
scientist / pretend bachelor student
perspective
Limitations: multi clause units, exchanges
that range over more than one turn
Evaluation
the depth of knowledge too narrow to
cope with open-ended conversations
with humans
database should be improved with
more factual world knowledge
Currently: no actual knowledge of what
it is talking about, avoidance strategy
He or it?
Future work
Modify Marvin to take on the
personality and knowledge base of
the key information theorists
Sensitive to the knowledge levels of
student users and opened to
explanatory questions
Use Wikipedia information to build its
conversations and offer links to
articles in the field of IS