Conversational Agents for Complex Collaborative Tasks

Authors

  • James Allen Institute for Human and Machine Cognition, University of Rochester
  • Lucian Galescu Institute for Human and Machine Cognition
  • Choh Man Teng Institute for Human and Machine Cognition
  • Ian Perera Institute for Human and Machine Cognition

DOI:

https://doi.org/10.1609/aimag.v41i4.7384

Abstract

Dialogue is a very active area of research currently, both in developing new computational techniques for robust dialogue systems and in the active fielding of commercial conversational assistants such as Siri and Alexa. This paper argues that, while current techniques can be used to design effective dialogue-based systems for very simple tasks, they are unlikely to generalize to conversational interfaces that enhance human ability to solve complex tasks by interacting with AI reasoning and modeling systems. We explore some of the challenges of tackling such complex tasks and describe a dialogue model designed to meet these challenges. We illustrate our approach with examples of several implemented systems that use this framework.

Published

2020-12-28

How to Cite

Allen, J., Galescu, L., Teng, C. M. ., & Perera, I. (2020). Conversational Agents for Complex Collaborative Tasks. AI Magazine, 41(4), 54-78. https://doi.org/10.1609/aimag.v41i4.7384

Issue

Section

Special Topic Articles