Industrial Virtual Assistants: Challenges and Opportunities

Important goals of the process-industry are efficient, safe and resource-saving production. High expectations have been formulated concerning the linkage of automation technologies, digitization and data-driven analytics methods like machine learning. This paper investigates the adaptation challenges of the process industry when it comes to the introduction of digital services in the plant. Specifically, we discuss the potential of virtual assistant systems to address these challenges. We discuss virtual assistant systems in their role as 1) support directly embedded into the work process and 2) integration point for new services. Based on this, we outline a research agenda for virtual assistant systems for the process industry.

[1]  P. Hersey,et al.  Situational Leadership, Perception, and the Impact of Power , 1979 .

[2]  J. Noyes,et al.  Alarm systems: a guide to design, management and procurement , 1999 .

[3]  Joseph Weizenbaum,et al.  ELIZA—a computer program for the study of natural language communication between man and machine , 1966, CACM.

[4]  Katharina Morik,et al.  Sustainable Industrial Processes by Embedded Real-Time Quality Prediction , 2016, Computational Sustainability.

[5]  Stuart M. Allen,et al.  Interruptibility prediction for ubiquitous systems: conventions and new directions from a growing field , 2015, UbiComp.

[6]  Victoria L. Rubin,et al.  Artificially intelligent conversational agents in libraries , 2010, Libr. Hi Tech.

[7]  Birgit Vogel-Heuser,et al.  Data-driven valve diagnosis to increase the overall equipment effectiveness in process industry , 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

[8]  Richard J. Boland,et al.  Knowledge management technology and the reproduction of knowledge work practices , 2000, J. Strateg. Inf. Syst..

[9]  Yang Lu,et al.  Industry 4.0: A survey on technologies, applications and open research issues , 2017, J. Ind. Inf. Integr..

[10]  Benjamin Klöpper,et al.  Defining software architectures for big data enabled operator support systems , 2016, 2016 IEEE 14th International Conference on Industrial Informatics (INDIN).

[11]  Srikanth Machiraju,et al.  Conversations as Platforms , 2018 .

[12]  Davide Manca,et al.  Automation in Process Industry: Cure or Curse? How can Training Improve Operator’s Performance , 2014 .

[13]  Michael L. Mauldin,et al.  CHATTERBOTS, TINYMUDS, and the Turing Test: Entering the Loebner Prize Competition , 1994, AAAI.

[14]  Anind K. Dey,et al.  Sensors Know When to Interrupt You in the Car: Detecting Driver Interruptibility Through Monitoring of Peripheral Interactions , 2015, CHI.