Smart homes are a promising infrastructure to support assistive services that can prolong independent living of older adults. However, smart homes are mostly developed using a technology-centered approach, raising challenges for users to comprehend the purpose of smart home services and anticipate their behavior. These challenges are more acute when services are to be deployed in homes of older adults, preventing the expert knowledge of their caregivers to be leveraged. This paper presents a user study that assesses the comprehensibility of an end-user language, named Maloya, dedicated to developing assistive services. Participants (9 professional caregivers) are presented with services written in Maloya and must determine whether they detect scenarios of daily living. Our results show that Maloya is well-understood by participants; they successfully determine whether a service detects a scenario (success rate of 94%) and substantiate their answers with consistent explanations. As such, Maloya should be effective in empowering caregivers to select appropriate services for their care-receivers and to accurately anticipate the service behavior.

智能家居是支持辅助服务的有希望的基础设施，可以延长老年人的独立生活。然而，智能家居大多是使用以技术为中心的方法开发的，这给用户理解智能家居服务的目的和预测其行为提出了挑战。当要在老年人的家中部署服务时，这些挑战更加严峻，从而无法充分利用其照料者的专业知识。本文提出了一项用户研究，该研究评估了名为Maloya的致力于开发辅助服务的最终用户语言的可理解性。为参与者（9名专业护理人员）提供了用马洛亚语编写的服务，并且必须确定他们是否检测到日常生活的情景。我们的结果表明，参与者对Maloya的理解很深。他们成功确定服务是否检测到场景（成功率为94％），并使用一致的解释来证实其答案。因此，马洛亚应有效地赋予护理人员权力，以为其护理对象选择适当的服务，并准确预测服务行为。