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Contribution of Clinical Data to the Design of Assistive Systems

Abstract : The objective of our work is to adapt a new user-centered design (UCD) methodology in the field of design of assistive systems for multiple disabilities people who live in specialized care homes. We have adopted a specific approach by integrating clinical data interpreted on these people with multiple disabilities by medical and social staff. This is a new approach to remedy their difficulty in identifying and/or expressing their needs for assistive technologies. We will show through a case study how these clinical data have enabled us to design high-fidelity prototypes for communication and environmental control devices. 1 Introduction User-centered design (UCD) is a design approach where the specific needs, expectations and characteristics of end users are taken into account at each step of the product design process. The standard ISO 9241-210 [1] (See Fig. 1) has defined the steps for implementing this approach. It is based on the hypothesis that end-users are best placed to express their needs, participate in the design, evaluate and use the interactive system, until the needs and requirements expressed by users are met. The relevance of the UCD is well established [2]. However, expressing needs is quite impossible for end user with communication difficulties. In addition, there is an emerging stream of consideration of deficiency characteristics in the design process. Several approaches have been studied to involve people with disabilities in the design process and to consider disabilities data. These approaches are reported in the related work section of this article The aim of this article is to illustrate how clinical data and the profile of the person with a multiple disability impact the prototyping phases of the user-centered design
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Contributor : Frédéric Vella <>
Submitted on : Wednesday, November 18, 2020 - 6:02:36 PM
Last modification on : Wednesday, June 9, 2021 - 10:16:40 AM
Long-term archiving on: : Friday, February 19, 2021 - 8:40:03 PM


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Frédéric Vella, Nadine Vigouroux, Rozenn Baudet, Antonio Serpa, Philippe Truillet, et al.. Contribution of Clinical Data to the Design of Assistive Systems. HCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design, 12426, pp.144-157, 2020, LNCS : Lecture Notes in Computer Science book series, 978-3-030-60149-2. ⟨10.1007/978-3-030-60149-2_12⟩. ⟨hal-03012953⟩



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