Evaluation of a trust-modulated argumentation-based interactive decision-making tool

被引：11

作者：

Sklar, Elizabeth I. ^{[1
]}

Parsons, Simon ^{[1
]}

Li, Zimi ^{[2
]}

Salvit, Jordan ^{[2
]}

Perumal, Senni ^{[3
]}

Wall, Holly ^{[2
]}

Mangels, Jennifer ^{[4
]}

机构：

[1] Univ Liverpool, Dept Comp Sci, Ashton St, Liverpool, Merseyside, England

[2] CUNY, Grad Ctr, Dept Comp Sci, 365 Fifth Ave, New York, NY USA

[3] Raytheon BBN Technol, 10 Moulton St, Cambridge, MA USA

[4] CUNY Bernard M Baruch Coll, Dept Psychol, 55 Lexington Ave, New York, NY USA

来源：

AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS | 2016年 / 30卷 / 01期

基金：

美国国家科学基金会;

关键词：

Argumentation; Trust; Human-agent interaction; COMPUTER SUPPORT; LOGIC; REASON; MODEL;

D O I：

10.1007/s10458-015-9289-1

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The interactive ArgTrust application is a decision-making tool that is based on an underlying formal system of argumentation in which the evidence that influences a recommendation, or conclusion, is modulated according to values of trust that the user places in that evidence. This paper presents the design and analysis of a user study which was intended to evaluate the effectiveness of ArgTrust in a collaborative human-agent decision-making task. The results show that users' interactions with ArgTrust helped them consider their decisions more carefully than without using the software tool.

引用

页码：136 / 173

页数：38

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