A coordination framework for multi-agent persuasion and adviser systems
Assistive 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 con...
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sg-smu-ink.sis_research-62212020-07-23T18:35:40Z A coordination framework for multi-agent persuasion and adviser systems SUBAGDJA, Budhitama TAN, Ah-hwee KANG, Yilin Assistive 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. 2019-02-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/5218 info:doi/10.1016/j.eswa.2018.08.030 https://ink.library.smu.edu.sg/context/sis_research/article/6221/viewcontent/ESWA_12160_accepted.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Persuasive agent Virtual companion Multi-agent systems Coordination Computer and Systems Architecture Databases and Information Systems OS and Networks |
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Persuasive agent Virtual companion Multi-agent systems Coordination Computer and Systems Architecture Databases and Information Systems OS and Networks SUBAGDJA, Budhitama TAN, Ah-hwee KANG, Yilin A coordination framework for multi-agent persuasion and adviser systems |
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Assistive 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. |
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text |
author |
SUBAGDJA, Budhitama TAN, Ah-hwee KANG, Yilin |
author_facet |
SUBAGDJA, Budhitama TAN, Ah-hwee KANG, Yilin |
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SUBAGDJA, Budhitama |
title |
A coordination framework for multi-agent persuasion and adviser systems |
title_short |
A coordination framework for multi-agent persuasion and adviser systems |
title_full |
A coordination framework for multi-agent persuasion and adviser systems |
title_fullStr |
A coordination framework for multi-agent persuasion and adviser systems |
title_full_unstemmed |
A coordination framework for multi-agent persuasion and adviser systems |
title_sort |
coordination framework for multi-agent persuasion and adviser systems |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2019 |
url |
https://ink.library.smu.edu.sg/sis_research/5218 https://ink.library.smu.edu.sg/context/sis_research/article/6221/viewcontent/ESWA_12160_accepted.pdf |
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