The Persuasive Power of Human-Machine Dialogue

  • Divya Ramachandran
  • John Canny
Conference paper

DOI: 10.1007/978-3-540-68504-3_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5033)
Cite this paper as:
Ramachandran D., Canny J. (2008) The Persuasive Power of Human-Machine Dialogue. In: Oinas-Kukkonen H., Hasle P., Harjumaa M., Segerståhl K., Øhrstrøm P. (eds) Persuasive Technology. PERSUASIVE 2008. Lecture Notes in Computer Science, vol 5033. Springer, Berlin, Heidelberg

Abstract

The persuasive power of live interaction is hard to match, yet technologies are increasingly taking on roles to promote behavioral change. We believe that speech-based interfaces offer a compelling mode of interaction for engaging users and are motivated to understand how to best present persuasive information using speech interaction. We present a study comparing the persuasive power of two speech-based information systems, one which uses a recorded message-based lecture presentation and another which uses an interactive dialogic presentation. We measure the persuasive power across both conditions using a survival task. We find that the dialogic system is significantly more persuasive than the lecture system. We also find that the dialogic system presents significantly (almost four times) less information than the lecture system. We analyze our results using three standard rank correlation methods. We point to limitations of these measures and propose a new metric which appears to be more sensitive for this task.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Divya Ramachandran
    • 1
  • John Canny
    • 1
  1. 1.University of CaliforniaBerkeley

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