Abstract
This paper presents a novel web-based repository and rec-ommender system to match the requirements of users with cognitive disabilities with available AT solutions when working on the web. Based on personal data from users (questionnaire, simple games) stored in a profile and tool data provided by AT solution providers and AT vendors, Buddy recommends tools supporting particular cognitive needs of target users. Buddy intends to bridge the gap between the growing amount of AT solutions and the actual low level of uptake by involving all stake-holder groups in the value chain on the Buddy platform.
| Originalsprache | Englisch |
|---|---|
| Titel | Computers Helping People with Special Needs |
| Herausgeber*innen | Miesenberger et al. |
| Verlag | Springer |
| Seiten | 275 |
| Seitenumfang | 9 |
| Band | 13342 |
| ISBN (Print) | 978-3-031-08644-1 |
| Publikationsstatus | Veröffentlicht - Juli 2022 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (LNCS) |
|---|
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 4 – Qualitativ hochwertige Bildung -
SDG 16 – Frieden, Gerechtigkeit und starke Institutionen
Wissenschaftszweige
- 102 Informatik
- 102013 Human-Computer Interaction
- 102014 Informationsdesign
- 102015 Informationssysteme
- 102021 Pervasive Computing
- 102022 Softwareentwicklung
- 102024 Usability Research
- 102026 Virtual Reality
- 102027 Web Engineering
- 102036 Digitale Barrierefreiheit
- 502007 E-Commerce
- 506002 E-Government
- 509002 Disability Studies
- 602013 Gebärdensprachforschung
- 202004 Brain-Computer Interface
- 211902 Assistierende Technologien
- 503008 E-Learning
- 302027 Hör-, Stimm- und Sprachstˆrungen
JKU-Schwerpunkte
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
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