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.
| Original language | English |
|---|---|
| Title of host publication | Computers Helping People with Special Needs |
| Editors | Miesenberger et al. |
| Publisher | Springer |
| Pages | 275 |
| Number of pages | 9 |
| Volume | 13342 |
| ISBN (Print) | 978-3-031-08644-1 |
| Publication status | Published - Jul 2022 |
Publication series
| Name | Lecture Notes in Computer Science (LNCS) |
|---|
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education -
SDG 16 Peace, Justice and Strong Institutions
Fields of science
- 102 Computer Sciences
- 102013 Human-computer interaction
- 102014 Information design
- 102015 Information systems
- 102021 Pervasive computing
- 102022 Software development
- 102024 Usability research
- 102026 Virtual reality
- 102027 Web engineering
- 102036 Digital accessibility
- 502007 E-commerce
- 506002 E-government
- 509002 Disability studies
- 602013 Sign language research
- 202004 Brain-computer interface
- 211902 Assistive technologies
- 503008 E-learning
- 302027 Hearing, voice and language disorders
JKU Focus areas
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
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