School of Technology, Pontifical Catholic University of Rio Grande do Sul, Porto Alegre 90619-900, Brazil.
Department of Informatics, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16145 Genoa, Italy.
Int J Environ Res Public Health. 2022 Jul 22;19(15):8945. doi: 10.3390/ijerph19158945.
A voice-controlled smart home system based on conversational agents can address the specific needs of older people, proactively providing support, compensating for cognitive decline, and coping with solitude, among other features. In particular, Multi-Agent Systems (MAS) platforms provide considerable support for complex adaptive systems that are naturally distributed and situated in dynamic environments, such as Ambient intelligence (AmI) applications. Such autonomous intelligent agents are capable of independent reasoning and joint analysis of complex situations to support high-level interaction with humans, besides providing typical characteristics of MAS, such as cooperation and coordinated action. In this context, we developed an approach using a MAS previously evaluated for visually impaired users, where most of the system's functionalities are also helpful for the elderly. Our methodology is based on the four steps of the interactive design process. As a result, we determined that our approach has elements that allow for natural interaction with users, and we identified and discussed improvements and new features for future work. We believe that our findings can point to directions for building AmI systems that are capable of more natural interaction with users.
基于对话代理的语音控制智能家居系统可以满足老年人的特殊需求，主动提供支持，补偿认知能力下降，应对孤独等问题。特别是多智能体系统（MAS）平台为复杂自适应系统提供了很大的支持，这些系统在动态环境中自然分布和定位，例如智能环境（AmI）应用。这种自主智能代理能够独立推理和联合分析复杂情况，以支持与人类的高级交互，除了提供 MAS 的典型特征，如合作和协调行动。在这种情况下，我们使用了一种 MAS 方法，该方法之前已经针对视障用户进行了评估，该系统的大多数功能也对老年人有帮助。我们的方法基于交互设计过程的四个步骤。因此，我们确定我们的方法具有允许与用户进行自然交互的元素，并确定和讨论了未来工作的改进和新功能。我们相信我们的发现可以为构建能够与用户进行更自然交互的 AmI 系统指明方向。
