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The Design and Evaluation of User Interfaces for the RADAR Learning Personal Assistant

机译:RADAR学习个人助理用户界面的设计和评估

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The RADAR project developed a large multi-agent system with a mixed-initiative user interface designed to help office workers cope with email overload. Most RADAR agents observe experts performing tasks and then assist other users who are performing similar tasks. The interaction design for RADAR focused on developing user interfaces that allowed the intelligent functionality to improve the user’s workflow without frustrating the user when the system’s suggestions were either unhelpful or simply incorrect. For example with regards to autonomy, the RADAR agents were allowed much flexibility in selecting ways to assist the user, but were restricted from taking actions that would be visible to other people. This policy ensured that the user remained in control and mitigated the negative effects of mistakes. A large evaluation of RADAR demonstrated that novice users confronted with an email overload test performed significantly better, achieving a 37% better overall score when assisted by RADAR. The evaluation showed that AI technologies can help users accomplish their goals.
机译:RADAR项目开发了具有混合启动用户界面的大型多代理系统,旨在帮助办公室工作人员应对电子邮件超载。大多数RADAR代理会观察执行任务的专家,然后为正在执行类似任务的其他用户提供帮助。 RADAR的交互设计着重于开发用户界面,该界面使智能功能可以改善用户的工作流程,而不会在系统的建议无用或根本不正确时使用户感到沮丧。例如,在自治方面,RADAR代理在选择协助用户的方式上具有很大的灵活性,但受到限制,无法采取其他人可以看到的动作。该策略确保用户始终处于控制之中,并减轻了错误带来的负面影响。对RADAR的大量评估表明,新手用户在经受电子邮件过载测试的情况下表现要好得多,在RADAR的协助下,总体得分提高了37%。评估显示,人工智能技术可以帮助用户实现目标。

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