An important part of nursing care is the physiotherapist’s physical exercise recovery training (for instance, walking), which is aimed at restoring athletic ability, known as rehabilitation (rehab). In rehab, the big problem is that it is difficult to maintain motivation. Therapies using robots have been proposed, such as animalistic robots that have positive psychological, physiological, and social effects on the patient. These also have an important effect in reducing the on-site human workload. However, the problem with these robots is that they do not actually understand what emotions the user is currently feeling. Some studies have been successful in estimating a person’s emotions. As for non-cognitive approaches, there is an emotional estimation of non-verbal information. In this study, we focus on the characteristics of real-time sensing of emotion through heart rates – unconsciously evaluating what a person experiences – and applying it to select the appropriate turn of phrase by a voice-casting robot. We developed a robot to achieve this purpose. As a result, we were able to confirm the effectiveness of a real-time emotion-sensitive voice-casting robot that performs supportive actions significantly different from non-voice casting robots.

中文翻译：

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利用生物特征信息实时传感和分析的情感敏感语音护理机器人在康复中的应用

护理的一个重要部分是物理治疗师的体育锻炼恢复训练（例如步行），其目的是恢复运动能力，称为康复（rehab）。在康复中，最大的问题是很难保持动力。已经提出了使用机器人的治疗方法，例如对患者具有积极的心理、生理和社会影响的动物机器人。这些在减少现场人工工作量方面也有重要作用。然而，这些机器人的问题在于它们实际上并不了解用户当前的情绪。一些研究已经成功地估计了一个人的情绪。对于非认知方法，存在对非语言信息的情感估计。在这项研究中，我们专注于通过心率实时感知情绪的特征——无意识地评估一个人的经历——并应用它来选择合适的词组由语音播报机器人。我们开发了一个机器人来实现这个目的。结果，我们能够确认实时情感敏感的语音播报机器人的有效性，该机器人执行与非语音播报机器人明显不同的支持性行动。