Development of an expert system to overpass citizens technological barriers on smart home and living
- Adopting new technologies can be overwhelming, even for people with experience in the field. For the general public, learning about new implementations, releases, brands, and enhancements can cause them to lose interest. There is a clear need to create point sources and platforms that provide helpful information about the novel and smart technologies, assisting users, technicians, and providers with products and technologies. The purpose of these platforms is twofold, as they can gather and share information on interests common to manufacturers and vendors. This paper presents the ”Finde-Dein-SmartHome” tool. Developed in association with the Smart Home & Living competence center [5] to help users learn about, understand, and purchase available technologies that meet their home automation needs. This tool aims to lower the usability barrier and guide potential customers to clear their doubts about privacy and pricing. Communities can use the information provided by this tool to identify market trends that could eventually lower costs for providers and incentivize access to innovative home technologies and devices supporting long-term care.
| Author: | Daniel VelezORCiD, Ralf SeepoldORCiDGND, Natividad Martínez MadridORCiD |
|---|---|
| DOI: | https://doi.org/10.1016/j.procs.2023.10.048 |
| ISSN: | 1877-0509 |
| Parent Title (English): | 27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES2023, 6 - 8 September, Athens, Greece (Procedia Computer Science, Vol. 225) |
| Volume: | 225 |
| Publisher: | Elsevier |
| Place of publication: | Amsterdam |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of Publication: | 2023 |
| Release Date: | 2023/12/14 |
| Tag: | Smart-home; Long-term care; Machine learning; Expert systems; Survey systems |
| First Page: | 626 |
| Last Page: | 634 |
| Note: | Corresponding author: Daniel Velez |
| Institutes: | Institut für Angewandte Forschung - IAF |
| DDC functional group: | 500 Naturwissenschaften und Mathematik |
| 600 Technik, Medizin, angewandte Wissenschaften | |
| Open Access?: | Ja |
| Relevance: | Peer reviewed nach anderen Listungen (mit Nachweis zum Peer Review Verfahren) |
| Licence (German): |  Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |
