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Issue title: IJCAI-ECAI-18 Demonstration Track
Subtitle: A case study in the Cognitive Environments Laboratory at IBM T.J. Waston Research Center, Yorktown
Guest editors: Paul Weng
Article type: Research Article
Authors: Chakraborti, Tathagataa; * | Fadnis, Kshitij P.b | Talamadupula, Kartikb | Dholakia, Mishalb | Srivastava, Biplavb | Kephart, Jeffrey O.b | Bellamy, Rachel K. E.b
Affiliations: [a] IBM Research AI, IBM, Cambridge, MA, USA. E-mail: tchakra2@ibm.com | [b] IBM Research AI, IBM, Yorktown Heights, NY, USA. E-mails: kpfadnis@us.ibm.com, krtalamad@us.ibm.com, mishal.dholakia1@ibm.com, biplavs@us.ibm.com, kephart@us.ibm.com, rachel@us.ibm.com
Correspondence: [*] Corresponding author. E-mail: tchakra2@ibm.com.
Note: [1] This is an invited submission (In Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18 (2018) 5820–5822 International Joint Conferences on Artificial Intelligence Organization) from the IJCAI-ECAI-2018 System Demonstration Program.
Abstract: In this paper, we report on the planning and visualization capabilities of Mr.Jones – a proactive orchestrator and decision-support agent for a collaborative decision making setting embodied by a smart room. The duties of such an agent may range across interactive problem solving with other agents in the environment, developing automated summaries of meetings, visualization of the internal decision-making process, proactive data and resource management, and so on. Specifically, we focus on how the visualization of the planning and plan recognition processes forms a key component of the smart assistant, and establishes transparency in the decision-making process. We also highlight how these processes contribute to the proactive nature of the agent. We demonstrate some of these functionalities in a successful deployment of the system in the CEL – the Cognitive Environments Laboratory at IBM’s T.J. Watson Research Center (Yorktown, USA), and report on emerging deployments of the system that have turned into success stories.
Keywords: Explainable AI, visualization, smart room, planning and decision-making, human-in-the-loop
DOI: 10.3233/AIC-180609
Journal: AI Communications, vol. 32, no. 1, pp. 91-99, 2019
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