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Strategic Talk in Film.

Sabine Payr1, Marcin Skowron1, Anna Dobrosovestnova1

  • 1Austrian Research Institute for Artificial Intelligence OFAI, Vienna/Austria.

Cybernetics and Systems
|January 30, 2018
PubMed
Summary
This summary is machine-generated.

This study models strategic talk for conversational agents in long-term coaching roles. It analyzes film mentor dialogues to understand how agents can effectively change user attitudes and goals over time.

Keywords:
Discourse Strategyfilm dialoguementor

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Area of Science:

  • Artificial Intelligence
  • Human-Computer Interaction
  • Computational Linguistics

Background:

  • Conversational agents are increasingly used for long-term educational and persuasive tasks like health coaching.
  • Effective long-term interaction requires agents to possess complex strategic goals and adaptable communication strategies.
  • Strategic talk, defined as conversation aimed at altering attitudes or goals, is crucial for these agents.

Purpose of the Study:

  • To develop a model for strategic talk applicable to conversational agents.
  • To analyze mentor-like communication strategies in extended dialogues.
  • To provide insights into agent behavior for persuasive and educational applications.

Main Methods:

  • Analysis of a corpus of film mentor utterances.
  • Annotation of dialogue data based on a developed model of strategic talk.
  • Interpretation of annotated data to identify realization and sequencing of mentor strategies.

Main Results:

  • Identified key strategies employed by mentor characters in film dialogues.
  • Demonstrated that strategic talk can span multiple conversational segments over extended periods.
  • Provided a framework for understanding the sequential nature of persuasive communication.

Conclusions:

  • A robust model of strategic talk is essential for long-term conversational agent effectiveness.
  • Insights from mentor behavior can inform the design of more sophisticated persuasive agents.
  • Further research can refine agent capabilities in strategic goal management and interaction.