Moving toward an intelligent interactive social engagement framework for information gathering

Cindy L. Bethel, Zachary Henkel, D. Eakin, D. May, Melinda Pilkinton
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引用次数: 3

Abstract

The objective of this research is to investigate the use of robots as intermediaries to gather sensitive information from children. The research is multidisciplinary in nature. The goals will be accomplished through the development of an integrated robotic framework that includes a novel architecture and an interactive user interface to gather information using methodologies recommended for forensic interviews with children. The Interactive Social Engagement Architecture (ISEA) is designed to integrate behavior-based robotics, human behavior models, cognitive architectures, and expert user input to increase social engagement between a human and system (e.g., robot, avatar, etc.). ISEA provides for the autonomous generation of robot behaviors for self-preservation and to convey social intelligence. The framework is designed to be modular and adaptable to different applications and domains; however for this project, the focus is on social engagement for information gathering. The interactive user interface provides interviewers with the ability to use a robot as an intermediary for gathering this information. The interface and framework have been iteratively improved through observations from user studies conducted to date with 186 children ages 8–12. This project compares the effectiveness of robot versus human interviewers to gather sensitive information from children using situations in which this would commonly occur — cases of child eyewitness memory and child reports of bullying. This research has the potential to transform how sensitive information is gathered as it relates to criminal investigations and proceedings.
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朝着信息收集的智能交互式社会参与框架迈进
这项研究的目的是调查使用机器人作为中介来收集儿童的敏感信息。这项研究本质上是多学科的。该目标将通过开发一个集成机器人框架来实现,该框架包括一个新颖的架构和一个交互式用户界面,以使用建议用于儿童法医访谈的方法收集信息。交互式社会参与架构(ISEA)旨在集成基于行为的机器人,人类行为模型,认知架构和专家用户输入,以增加人类和系统(例如,机器人,化身等)之间的社会参与。ISEA提供了机器人行为的自主生成,以实现自我保护和传递社会智能。该框架设计为模块化,可适应不同的应用程序和领域;然而,对于这个项目,重点是信息收集的社会参与。交互式用户界面为采访者提供了使用机器人作为收集这些信息的中介的能力。通过迄今为止对186名8-12岁儿童进行的用户研究观察,界面和框架不断得到改进。这个项目比较了机器人和人类采访者从儿童那里收集敏感信息的有效性,使用了通常会发生这种情况的情况——儿童目击记忆和儿童欺凌报告的情况。这项研究有可能改变敏感信息的收集方式,因为它与刑事调查和诉讼有关。
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