The aim of the paper is to identify from the perspective of designers, what is required to optimally design smart habilitation devices for additive manufacturing, whilst ensuring a high quality multi-user experience. Semi-structured interviews were conducted with designers to identify the key requirements to develop such devices. The outcome of this study will provide a preliminary framework for designers to take advantage of the state-of-the-art of design for additive manufacturing in order to meet the expectations of multiple users of smart devices for pediatric occupational therapy.

Introduction This paper takes a multi-stakeholder approach to generate key requirements to design smart habilitation devices for children with Cerebral Palsy. Four groups of different relevant stakeholders of smart-habilitation devices were approached to participate in this study, including children with Cerebral Palsy, their parents, occupational therapists, as well as technical specialists. Methods Profiles of children with Cerebral Palsy were generated to have a concrete idea of their needs and desires. Meanwhile, for the three stakeholders, focus groups were used to gather their insights and requirements on a prospective smart habilitation device for children. Successively, a thematic analysis was conducted to analyse the qualitative data obtained during the focus groups. Results Eight design requirements were developed to generate designs which stimulate high quality user experiences in children and other users of smart habilitation devices. In addition, an initial framework of the process that design engineers would follow to design such devices for children was proposed. Conclusion Adopting this framework, and the respective requirements, will help design engineers to implement a multi-user approach and amend the design according to stakeholders' goals and desires. The resulted design should ensure a high quality user experience for both the active and potential passive users of smart habilitation devices.

Nowadays the rehabilitation process involves the patient and the therapist, that must interact to recover the motion of limbs and the strength of related muscles to restore the initial functionalities. The therapy relies on the experience and sensitivity of the therapist that identifies the rehabilitation exercises which are necessary to recover the expected ability. To prevent inappropriate practices an interesting aid may come by mixing collaborative robots, namely Cobots, and additive manufacturing technologies. The proper integration of a Cobot assistant and custom-printed training objects enables a significant improvement in the effectiveness of the therapy action and the related user experience since the programmed trajectories can mimic the movements related to activities of daily living. To this aim, this work describes an integrated approach to support the design of Cobot assisted rehabilitative solutions. The object selected by the patient and therapist, the motion pattern, the clamping area, and loads on the limb represents the design requirements. The motion trajectories defining the specific training tasks are the starting point to the optimal placement within the Cobot workspace. Specifically, manipulability maps can provide an objective evaluation of the locations where the exercises are performed at the best of workspace and configuration of the Cobot. A simple upper limb rehabilitation exercise based on a demonstrative handle has been selected to prove the effectiveness of the proposed approach. The results confirm that the manipulability index can be adopted to drive the preliminary design of the Cobotic solution toward a feasible configuration.