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.
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Notes
- 1.
Google Assistant - https://assistant.google.com/.
- 2.
Microsoft Cortana - https://www.microsoft.com/en-us/windows/cortana/.
- 3.
Apple Siri - https://www.apple.com/ios/siri/.
- 4.
Amazon Alexa - https://www.amazon.com/Amazon-Echo-And-Alexa-Devices/.
- 5.
Jadex framework - https://www.activecomponents.org/.
- 6.
Hascheck Voice - http://hascheck.tel.fer.hr/voice/.
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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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Soic, R., Skocir, P., Jezic, G. (2019). Agent-Based System for Context-Aware Human-Computer Interaction. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_4
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