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Conversational Agents for Complex Collaborative Tasks

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Publicado en:AI Magazine vol. 41, no. 4 (Winter 2020), p. 54
Autor principal: Allen, James
Otros Autores: Galescu, Lucian, Teng, Choh Man, Perera, Ian
Publicado:
John Wiley & Sons, Inc.
Materias:
Problem solving
Machine learning
Agents (artificial intelligence)
Collaboration
System effectiveness
Food
Artificial intelligence
Malnutrition
Task complexity
Interactive computer systems
Human performance
Natural language
Human-computer interaction
Interfaces
Complex tasks
Conversation
Complexity
Economic
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Resumen:* 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 Apple's Siri and Amazon's Alexa. This article argues that, while current techniques can be used to design effective dialoguebased systems for very simple tasks, they are unlikely to generalize to conversational interfaces that enhance human ability to solve complex tasks by interacting with artificial intelligence 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.
ISSN:0738-4602
2371-9621
Fuente:ABI/INFORM Global