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dc.contributor.authorSubagdja, Budhitamaen_US
dc.contributor.authorTan, Ah-Hweeen_US
dc.contributor.authorKang, Yilinen_US
dc.identifier.citationSubagdja, B., Tan, A.-H., & Kang, Y. (2019). A coordination framework for multi-agent persuasion and adviser systems. Expert Systems with Applications, 116, 31-51. doi:10.1016/j.eswa.2018.08.030en_US
dc.description.abstractAssistive agents have been used to give advices to the users regarding activities in daily lives. Although adviser bots are getting smarter and gaining more popularity these days they are usually developed and deployed independent from each other. When several agents operate together in the same context, their advices may no longer be effective since they may instead overwhelm or confuse the user if not properly arranged. Only little attentions have been paid to coordinating different agents to give different advices to a user within the same environment. However, aligning the advices on-the-fly with the appropriate presentation timing at the right context still remains a great challenge. In this paper, a coordination framework for advice giving and persuasive agents is presented. Apart from preventing overwhelming messages, the adaptation enables cooperation among the agents to make their advices more impactful. In contrast to conventional models that rely on natural language contents or direct multi-modal cues to align the dialogs, the proposed framework is built to be more practical allowing the agents to actively share their observation, goals, and plans to each other. This allows them to adapt the schedules, strategies, and contents of their scheduled advices or reminders at runtime with respect to each other's objectives. Challenges and issues in multi-agent adviser systems are identified and defined in this paper supported by a survey study about perceived usefulness and user comprehensibility of advices delivered by multiple agents. The coordination among the advice giving agents are investigated and exemplified with a simulation of activity of daily living in the context of aging in place.en_US
dc.description.sponsorshipNRF (Natl Research Foundation, S’pore)en_US
dc.relation.ispartofExpert Systems with Applicationsen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved. This paper was published in Expert Systems with Applications and is made available with permission of Elsevier Ltd.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleA coordination framework for multi-agent persuasion and adviser systemsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.contributor.organizationST Engineering-NTU Corporate Laboratoryen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsPersuasive Agentsen_US
dc.subject.keywordsVirtual Companionen_US
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