Cornelia Schneider
University of Applied Sciences Wiener Neustadt
Cornelia Schneider
Dr Cornelia Schneider (Head of Institute) studied Software Engineering for Medicine at the University of Applied Sciences in Hagenberg and Health Sciences at UMIT in Hall in Tirol. She also completed the FWF PhD programme GIScience for Geoinformatics at the University of Salzburg. She has several years of professional experience as a technical project manager, software architect and developer of information systems for the clinical and ambulatory sector.
Cornelia Schneider worked for nine years at Salzburg Research as a research assistant and head of the competence field e-Health and Ambient Assisted Living (AAL). She has several years of project management experience in national and international projects (including Care about Care, CONFIDENCE, ZentrAAL, CareInMovement and fit4AAL). In 2014, the CONFIDENCE project, which she led, won the European AAL Award (jury and audience award). In October 2012, she was honoured as FEMtech Expert of the Month.
Since February 2019, Cornelia Schneider is head of the Institute of Computer Science at the University of Applied Sciences Wiener Neustadt and since 2021 head of the European project Care about Care (C^C for short). She won the tecnet – accent Innovation Award in 2021 with the AAL project AgeWell.
FURTHER INFORMATION
| Countries | Austria; |
|---|---|
| Topics | Artificial Intelligence; Data science; Information and data systems in LTC; Technology and LTC; |
| Methods | Case studies; Data science and LTC research; |
| Role | Research; |
| Interest Groups | Data Science; |
| Website | https://www.fhwn.ac.at/mitarbeiter/schneider-cornelia |
| ORC.ID | 0000-0003-1518-7157 |
| GOOGLE SCHOLAR | https://scholar.google.com/citations?user=FgGIeZEAAAAJ |
| https://at.linkedin.com/in/cornelia-schneider-ab833470 | |
| Research interests | Augmented & mixed reality applications (AR/MR): Development of remote support services for mobile care using AI services (https://doi.org/10.3233/SHTI230009) Analyzing sensor data: Sensor data analysis (with AI methods) for the provision of monitoring services, e.g. movement data monitoring (https://doi.org/10.3390/ijgi6100315, https://doi.org/10.1553/giscience2022_01_s33) Analysis of usage data: analysis of automatically, semi-automatically and manually generated usage data, supplemented by AI methods, for the evaluation of field studies (https://doi.org/10.3390/app10010038) Social robotics: use of social robots with vulnerable groups such as older people to offer support in various situations (https://doi.org/10.3390/app10010038) User-centred system development: development of information and communication technologies involving (future) users to achieve the best possible usability and user experience (https://doi.org/10.1007/978-3-658-34970-7_5) |
| Key publications | Schneider, C., & Bousbiat, H. (2023). Coaching Robots for Older Seniors: Do They Get What They Expect? Insights from an Austrian Study. International Journal of Environmental Research and Public Health, 20(4), 2965. https://doi.org/10.3390/ijerph20042965 Schneider, C., Rameder, P., Kolmann, P., & Trukeschitz, B. (2023). Remote Assistance for Home Care Workers: Concept and Technical Implementation at a Glance. In B. Pfeifer, G. Schreier, M. Baumgartner, & D. Hayn (Eds.), dHealth 2023 (pp. 39–47). IOS Press. https://doi.org/10.3233/SHTI230009 Schneider, C., Kolmann, P., Rudel, B., Szvetits, M., Rameder, P., & Trukeschitz, B. (2022). Voice-Based Notification of Care Workers’ Arrival Time: Concept, Implementation and Validation in a Pilot Study. GI_Forum, 1(1), 33–47. https://doi.org/10.1553/giscience2022_01_s33 Trukeschitz, B., Eisenberg, S., Schneider, C., & Schneider, U. (2022). Exploring the effectiveness of a fitness‐app prototype for home care service users in Austria and Italy. Health & Social Care in the Community, 30(5), 1–12. https://doi.org/10.1111/hsc.13733 Jungreitmayr, S., Ring-Dimitriou, S., Trukeschitz, B., Eisenberg, S., & Schneider, C. (2021). Effects of an Information and Communication Technology-Based Fitness Program on Strength and Balance in Female Home Care Service Users. International Journal of Environmental Research and Public Health, 18(15), 7955. https://doi.org/10.3390/ijerph18157955 Schneider, C., Trukeschitz, B., & Rieser, H. (2020). Measuring the Use of the Active and Assisted Living Prototype CARIMO for Home Care Service Users: Evaluation Framework and Results. Applied Sciences, 10(1), 38. https://doi.org/10.3390/app10010038 Schneider, C., Gröchenig, S., Venek, V., Leitner, M., & Reich, S. (2017). A Framework for Evaluating Stay Detection Approaches. ISPRS International Journal of Geo-Information, 6(10). https://doi.org/10.3390/ijgi6100315 Schneider, C., Zutz, S., Rehrl, K., Brunauer, R., & Gröchenig, S. (2016). Evaluating GPS sampling rates for pedestrian assistant systems. Journal of Location Based Services, 10(3), 212–239. https://doi.org/10.1080/17489725.2016.1259509 Willner, V., Schneider, C., & Feichtenschlager, M. (2015). eHealth 2015 Special Issue: Effects of an assistance service on the quality of life of elderly users. Applied Clinical Informatics, 06(03), 429–442. https://doi.org/10.4338/ACI-2015-03-RA-0033 Schneider, C., & Henneberger, S. (2014). Electronic Spatial Assistance for People with Dementia: Choosing the Right Device. Technologies, 2(2), 96–114. https://doi.org/10.3390/technologies2020096 |