Hobbit, a care robot supporting independent living at home: First prototype and lessons learned

Hobbit, a care robot supporting independent living at home: First prototype and lessons learned
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DOI:
10.1016/j.robot.2014.09.029
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发表时间:
2016-01-01
影响因子:
4.3
通讯作者:
Vincze, Markus
Vincze, Markus
中科院分区:
计算机科学3区
文献类型:
--
作者:
Fischinger, David;Einramhof, Peter;Vincze, Markus

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应对人口结构转型挑战的一个选择是制造能够就地老化的机器人。跌倒已被确定为导致转移到护理机构的最相关因素。霍比特人项目结合了机器人学、老年学和人机交互的研究,开发了一种能够预防和检测跌倒以及紧急情况检测和处理的护理机器人。此外,为了实现与机器人的日常互动,还添加了其他功能,例如携带物体,提供提醒和娱乐。与用户的交互基于多模态用户界面,包括自动语音识别、文本到语音、手势识别和基于图形触摸的用户界面。我们在三个欧盟国家(奥地利、希腊和瑞典)共对49名参与者(70岁以上)进行了对照实验室用户研究。所收集的用户对机器人的可用性、接受度和可负担性的反应表明,目标用户群对机器人的接受度很高。本文介绍了在国内环境中的导航和操作的原则和系统组件,交互模式及其在多模式用户界面中的实现,核心机器人任务,以及用户研究的结果,这也反映在我们学到的经验教训方面,我们相信对研究人员是有用的。(C)2014爱思唯尔有限公司版权所有。
One option to address the challenge of demographic transition is to build robots that enable aging in place. Falling has been identified as the most relevant factor to cause a move to a care facility. The Hobbit project combines research from robotics, gerontology, and human-robot interaction to develop a care robot which is capable of fall prevention and detection as well as emergency detection and handling. Moreover, to enable daily interaction with the robot, other functions are added, such as bringing objects, offering reminders, and entertainment. The interaction with the user is based on a multimodal user interface including automatic speech recognition, text-to-speech, gesture recognition, and a graphical touch-based user interface. We performed controlled laboratory user studies with a total of 49 participants (aged 70 plus) in three EU countries (Austria, Greece, and Sweden). The collected user responses on perceived usability, acceptance, and affordability of the robot demonstrate a positive reception of the robot from its target user group. This article describes the principles and system components for navigation and manipulation in domestic environments, the interaction paradigm and its implementation in a multimodal user interface, the core robot tasks, as well as the results from the user studies, which are also reflected in terms of lessons we learned and we believe are useful to fellow researchers. (C) 2014 Elsevier B.V. All rights reserved.