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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Main Authors: SUBAGDJA, Budhitama, TAN, Ah-hwee, KANG, Yilin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2019
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Online Access: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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spelling 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
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Persuasive agent
Virtual companion
Multi-agent systems
Coordination
Computer and Systems Architecture
Databases and Information Systems
OS and Networks
spellingShingle 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
description 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.
format text
author SUBAGDJA, Budhitama
TAN, Ah-hwee
KANG, Yilin
author_facet SUBAGDJA, Budhitama
TAN, Ah-hwee
KANG, Yilin
author_sort 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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