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From Dialogue Management to Pervasive Interaction Based Assistive Technology

  • Yong Lin
  • Fillia Makedon
Part of the Intelligent Systems Reference Library book series (ISRL, volume 26)

Abstract

Dialogue management system is originated when human-computer interaction (HCI) was dominated by a single computer. With the development of sensor networks and pervasive techniques, the HCI has to adapt into pervasive environments. Pervasive interaction is a form of HCI derived under the context of pervasive computing. This chapter introduces a pervasive interaction based planning and reasoning system for individuals with cognitive impairment, for their activities of daily living. Our system is a fusion of speech prompt, speech recognition as well as events from sensor networks. The system utilizes Markov decision processes for activity planning, and partially observable Markov decision processes for action planning and executing. Multimodal and multi-observation is the characteristics of a pervasive interaction system. Experimental results demonstrate the flexible effect the reminder system works for activity planning.

Keywords

Sensor Network Activity Recognition Markov Decision Process Belief State Sensor Event 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© IFIP 2012

Authors and Affiliations

  • Yong Lin
    • 1
  • Fillia Makedon
    • 1
  1. 1.Department of Computer Science and EngineeringThe University of Texas at ArlingtonArlingtonUSA

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