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Agent-Based System for Context-Aware Human-Computer Interaction

  • Renato SoicEmail author
  • Pavle Skocir
  • Gordan Jezic
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 96)

Abstract

Interaction between a human and a computer is a rapidly evolving field in computer science, with the goal to achieve efficient communication using natural language. In the recent couple of years, there have been significant accomplishments in the field, resulting with many commercially available systems capable of performing various tasks, while using natural language to communicate with human users. In this paper, we discuss the possibilities of extending the capabilities of such systems by adopting an agent-based approach. We present a model for a context-aware, intelligent, adaptive multi-agent system able to independently communicate with human users using natural language, i.e., speech. The motivation is to design an extensible system which could independently decide in which way to present information to the user, with the decision based on the user’s context, retrieved from any number of devices or systems. The focus of the paper will be on describing the interaction process itself, and the significance of context regarding the human-computer interaction.

Keywords

Software agent IoT Context-awareness Context resolution Human-computer interaction Natural language processing BDI Intelligent agent 

Notes

Acknowledgments

This work has been supported in part by Croatian Regulatory Authority for Network Industries in scope of project “Looking to the Future”.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and ComputingUniversity of ZagrebZagrebCroatia

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