EQRbot: A chatbot delivering EQR argument-based explanations.

EQRbot: A chatbot delivering EQR argument-based explanations.
复制标题

DOI:
10.3389/frai.2023.1045614
复制
发表时间:
2023
影响因子:
4
通讯作者:
Sklar, Elizabeth I.
Sklar, Elizabeth I.
中科院分区:
其他
文献类型:
--
作者:
Castagna, Federico;Garton, Alexandra;McBurney, Peter;Parsons, Simon;Sassoon, Isabel;Sklar, Elizabeth I.

文献摘要

参考文献

被引文献

相似文献

近年来出现了几种新的基于论证的支持系统,特别是在医疗保健行业。在医疗领域,信息交换必须以清晰和准确的方式进行,这必须反映在任何使用的虚拟系统中。论证方案及其关键问题是对此类信息和交流进行建模的非常合适的正式工具,因为它们为要发表的解释提供了详细的模板。本文详细介绍了EQR论证方案,并使用聊天机器人(EQRbot)将其部署为患者的治疗建议生成解释。EQR方案(设计为代理之间的解释-问题-响应交互模式)包含多个前提,可以询问这些前提以披露额外的数据。作为所使用的论证推理引擎和EQR模板的实例获得的结果解释,然后将提供给会话代理,会话代理将以个性化电报消息的形式详尽地向后续用户的查询传递所请求的信息和答案。与之前的基线和现有的基于争论的聊天机器人的比较说明了EQRbot对类似会话代理的改进。
Recent years have witnessed the rise of several new argumentation-based support systems, especially in the healthcare industry. In the medical sector, it is imperative that the exchange of information occurs in a clear and accurate way, and this has to be reflected in any employed virtual systems. Argument Schemes and their critical questions represent well-suited formal tools for modeling such information and exchanges since they provide detailed templates for explanations to be delivered. This paper details the EQR argument scheme and deploys it to generate explanations for patients' treatment advice using a chatbot (EQRbot). The EQR scheme (devised as a pattern of Explanation-Question-Response interactions between agents) comprises multiple premises that can be interrogated to disclose additional data. The resulting explanations, obtained as instances of the employed argumentation reasoning engine and the EQR template, will then feed the conversational agent that will exhaustively convey the requested information and answers to follow-on users' queries as personalized Telegram messages. Comparisons with a previous baseline and existing argumentation-based chatbots illustrate the improvements yielded by EQRbot against similar conversational agents.
DOI: 10.1177/2055207618804927
发表时间: 2018-01
期刊: Digital health
影响因子: 3.9
作者:
Bilici E;Despotou G;Arvanitis TN
通讯作者: Arvanitis TN
DOI: 10.1016/j.artint.2007.04.009
发表时间: 2007-07-01
影响因子: 14.4
作者:
Atkinson, Katie;Bench-Capon, Trevor
通讯作者: Bench-Capon, Trevor
DOI: 10.1016/0004-3702(94)00041-x
发表时间: 1995-09-01
影响因子: 14.4
作者:
DUNG, PM
通讯作者: DUNG, PM
DOI: 10.1207/s15327051hci16234_05
发表时间: 2001-01-01
影响因子: 5.3
作者:
Bellotti, V;Edwards, K
通讯作者: Edwards, K
DOI: 10.1002/ejsp.2420220206
发表时间: 1992-03-01
影响因子: 3.9
作者:
ANTAKI, C;LEUDAR, I
通讯作者: LEUDAR, I