marvin a conversational agent based interface for the study of information sciences
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Marvin - A Conversational Agent Based Interface for the Study of Information Sciences. N ives Mikelic Preradovic , Sanja Kisicek, Damir Boras University of Zagreb, Faculty of Humanities and Social Sciences , Department of Information Sciences

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marvin a conversational agent based interface for the study of information sciences

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
Outline
  • Who is Marvin?
  • Marvin’s knowledge base and reply structure
  • Evaluation
  • Future work
who is marvin1
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
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
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
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
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
evaluation1
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
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
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