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Autor/inn/en | Kähler, Marco; Feichtenbeiner, Rolf; Beudt, Susan |
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Titel | Facilitating the Implementation of AI-Based Assistive Technologies for Persons with Disabilities in Vocational Rehabilitation: A Practical Design Thinking Approach. |
Quelle | Aus: Roll, I. (Hrsg.); McNamara, D. (Hrsg.); Sosnovsky, S. (Hrsg.); Luckin, R. (Hrsg.); Dimitrova, V. (Hrsg.): Artificial Intelligence in Education. 22nd International Conference, AIED 2021, Utrecht; Proceedings, Part II. (2021) S. 224-228
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | online; Sammelwerksbeitrag |
ISBN | 978-3-030-78269-6; 978-3-030-78270-2 |
DOI | 10.1007/978-3-030-78270-2_40 |
Schlagwörter | Künstliche Intelligenz; Inklusion; Design; Technologische Entwicklung; Mitbestimmung; Arbeitsassistenz; Berufliche Rehabilitation; Innovationsprozess; Technische Hilfe; Behinderter |
Abstract | "Digital and AI-based assistive technologies (AI-AT) are becoming more important for the inclusion of persons with disabilities (PWD). One challenge in providing PWD with AI-AT is to meet their requirements and needs. At the same time, they are often embedded in organizational contexts and thus need to be cost-effective and easy to learn and handle. This short paper introduces a systematic approach to match the individual needs and organizational context with AI-AT that support working and learning of PWD. The approach combines Design Thinking (DT) methods, participatory elements, and online collaboration tools in a cycle of three workshops. The aim is to understand the target group better, identify, evaluate and choose appropriate AI-AT and develop innovation spaces that help introduce and test AI-AT. The approach was developed for a vocational rehabilitation setting but can also be easily adapted for various settings (e.g., educational technology or corporate AI projects)." (Author's abstract, © Springer Nature Switzerland). |
Erfasst von | Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg |
Update | 2022/3 |