Generic platform for registration and online offering of assistance-on-demand (AoD) services in an inclusive infrastructure

摘要

An increasing percentage of the population needs assistance services for a wide range of activities related to their independent living, which can be delivered either by humans or by machines. While cloud computing and emerging ICT solutions have introduced new types of services and service delivery paradigms, it remains costly and difficult to set up and market assistance services addressing the needs of very narrow end-user groups. The current work presents the design of a novel open-source infrastructure (web-based platform) which enables diverse stakeholders to easily set up web-based assistance-on-demand platform instances. Each of these AoD instances can be used by service providers to register and offer assistance-on-demand (AoD) services for catering individual needs of persons with disabilities. In this way, narrow end-user groups can be reached and enjoy a gamut of assistance services. The AoD platform is implemented in the context of a larger Global Public Inclusive Infrastructure (GPII), which is being developed in the context of the Prosperity4All project. The functional requirements for the design of the AoD infrastructure were iteratively fine-tuned through the definition and analysis of representative use models (sets of personas and use cases). The AoD platform architecture consists of two major components: front-end (GUI) and back-end (service infrastructure). Their implementation is mainly based on the Django framework which enables a Model-Template-View (MTV) software architectural pattern with highly configurable and flexible components. The evaluation of a demonstration instance of the AoD platform with end-users identified its advantages and pointed out additional functionality needed: multi-language, multi-modality, embedded social media feeding, dedicated menu for highly flexible service, etc. The overall perceived usefulness of the specific demonstration AoD platform instance that underwent evaluation was higher than 80%. The proposed AoD p