"Was that successful?" On Integrating Proactive Meta-Dialogue in a DIY-Assistant using Multimodal Cues

Matthias Kraus, Marvin R. G. Schiller, G. Behnke, P. Bercher, Michael Dorna, M. Dambier, Birte Glimm, Susanne Biundo-Stephan, W. Minker
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引用次数: 14

Abstract

Effectively supporting novices during performance of complex tasks, e.g. do-it-yourself (DIY) projects, requires intelligent assistants to be more than mere instructors. In order to be accepted as a competent and trustworthy cooperation partner, they need to be able to actively participate in the project and engage in helpful conversations with users when assistance is necessary. Therefore, a new proactive version of the DIY-assistant Robert is presented in this paper. It extends the previous prototype by including the capability to initiate reflective meta-dialogues using multimodal cues. Two different strategies for reflective dialogue are implemented: A progress-based strategy initiates a reflective dialogue about previous experience with the assistance for encouraging the self-appraisal of the user. An activity-based strategy is applied for providing timely, task-dependent support. Therefore, user activities with a connected drill driver are tracked that trigger dialogues in order to reflect on the current task and to prevent task failure. An experimental study comparing the proactive assistant against the baseline version shows that proactive meta-dialogue is able to build user trust significantly better than a solely reactive system. Besides, the results provide interesting insights for the development of proactive dialogue assistants.
“成功了吗?”运用多模态线索在diy助手中整合主动元对话
在执行复杂任务时有效地支持新手,例如自己动手(DIY)项目,需要智能助手不仅仅是教师。为了被接受为一个有能力和值得信赖的合作伙伴,他们需要能够积极参与项目,并在需要帮助时与用户进行有益的对话。因此,本文提出了一种新的主动版本的diy助手Robert。它扩展了之前的原型,包括使用多模态线索启动反射元对话的能力。实施了两种不同的反思性对话策略:基于进展的策略发起关于以往经验的反思性对话,帮助鼓励用户进行自我评价。应用基于活动的策略来提供及时的、与任务相关的支持。因此,使用连接的钻机驱动程序跟踪触发对话的用户活动,以便反映当前任务并防止任务失败。一项比较主动助理和基线版本的实验研究表明,主动元对话能够比单独的反应系统更好地建立用户信任。此外,研究结果为主动对话助手的开发提供了有趣的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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