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

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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 marvin

Who is Marvin?


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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