Digital Intelligent Assistant Core
Intelligent, voice-enabled, mobile user interface
Digital Intelligent Assistant Core – DIA Core – represents the intelligent, voice-enabled, mobile user interface with reliable language processing, mobile usage, and secure integration in the production IT landscape.
The DIA Core bases on the open source, privacy focused assistant, Mycroft, and will feature four actions:
“Explain” to build trust
“Advice” to help users perform their tasks
“Predict” to inform about future events
“Inform” to provide facts and resource status
We will extend the Mycroft’s existing functions to meet manufacturing requirements, such as time criticality, reliability when dealing with factory noise, safety when giving advice to workers and security in business environment. It will provide evidence that an open digital assistant can support manufacturing.
The DIA Core conversational agent team consists of the voice-enabled digital assistant, Mycroft, and a connected chatbot built with the Rasa framework. Bot agents complement each other and make COALA’s core infrastructure flexible and powerful in terms of Natural Language Understanding and Dialog Management.
DIA Core system design focuses on five elements:
users find the system pleasant and appropriate
Ease of appropriation
users can remember easily how to use the system
users cannot make too many or too severe errors and can recover easily
Ease of learning
new users can achieve their goals easily
users can perform tasks quickly through an easy process
M. Foosherian, S. K. Freire, E. Niforatos, K. A. Hribernik, and K.D. Thoben. 2022. Break, Repair, Learn, Break Less: Investigating User Preferences for Assignment of Divergent Phrasing Learning Burden in Human-Agent Interaction to Minimize Conversational Breakdowns. In 21th International Conference on Mobile and Ubiquitous Multimedia (MUM 2022), November 27–30, 2022, Lisbon, Portugal. ACM, New York, NY, USA, 8 pages. https://doi.org/10.1145/3568444.3568454
Bousdekis A. et al. (2021) Human-AI Collaboration in Quality Control with Augmented Manufacturing Analytics. In: Dolgui A., Bernard A., Lemoine D., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham.
Wellsandt S., Hribernik K., Thoben KD. (2021) Anatomy of a Digital Assistant. In: Dolgui A., Bernard A., Lemoine D., von Cieminski G., Romero D. (eds) Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. APMS 2021. IFIP Advances in Information and Communication Technology, vol 633. Springer, Cham.