文章基本信息

标题：Towards a Collaborative Model to Assist People with Disabilities and the Elderly People in Smart Assistive Cities
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作者：Christian Moreira Matos ; Vítor Kehl Matter ; Márcio Garcia Martins 等
期刊名称：Journal of Universal Computer Science
印刷版ISSN：0948-6968
出版年度：2021
卷号：27
期号：1
页码：65-86
DOI：10.3897/jucs.64591
出版社：Graz University of Technology and Know-Center
摘要：People with disabilities and the elderly face difficulties to fulfill their accessibility needs in their daily life routines, mainly when they have an emergency demanding speedy and specific assistance. This article proposes the SafeFollowing, a collaborative model to help people with disabilities and the elderly in smart assistive cities. The main contribution of this work is the specification of a decentralized model of ubiquitous accessibility, which involves public agents and volunteers to attend the users’ requests. SafeFollowing also allows the use of police vehicles mapping, in order to provide a specific follow-up in adverse situations of daily life. The model was validated through experiments in real case scenarios by 14 public agents and 11 elderly and people with disabilities. The results showed that 100% of evaluators (users and agents) stated that the model was useful and 82% of users and 100% of agents considered that SafeFollowing was easy to use. The experiments also allowed the learning of 5 relevant lessons on technological and usability aspects of SafeFollowing that are recorded in this article.
关键词：social issues; virtual community; collaboration; smart assistive cities; ubiquitous computing