COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations
Author:
Sarriegi Jon Kerexeta123ORCID, Iraola Andoni Beristain123ORCID, Álvarez Sánchez Roberto12ORCID, Graña Manuel3, Rebescher Kristin May1, Epelde Gorka12ORCID, Hopper Louise4ORCID, Carroll Joanne4ORCID, Ianes Patrizia Gabriella5, Gasperini Barbara5, Pilla Francesco5ORCID, Mattei Walter6, Tessarolo Francesco7ORCID, Petsani Despoina8ORCID, Bamidis Panagiotis D.8ORCID, Konstantinidis Evdokimos I.89ORCID
Affiliation:
1. Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 San Sebastián, Spain 2. Biodonostia Health Research Institute, 20014 San Sebastián, Spain 3. Computational Intelligence Group, Computer Science Faculty, University of the Basque Country, UPV/EHU, 20018 San Sebastián, Spain 4. School of Psychology, Dublin City University, Glasnevin, D09 X984 Dublin, Ireland 5. Unità Operativa Riabilitazione Ospedaliera—Villa Rosa, Azienda Provinciale per i Servizi Sanitari di Trento, 38123 Trento, Italy 6. Servizio Ingegneria Clinica, Azienda Provinciale per i Servizi Sanitari di Trento, 38123 Trento, Italy 7. Department of Industrial Engineering, University of Trento, 38123 Trento, Italy 8. Medical Physics and Digital Innovation Lab, School of Medicine, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece 9. WITA SRL, 38123 Trento, Italy
Abstract
The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive measures and telemedicine have the potential to play an important role in improving the number of healthy years older adults may experience and virtual coaching is a promising research area to support this process. This paper presents COLAEVA, an interactive web application for older adult population clustering and evolution analysis. Its objective is to support caregivers in the design, validation and refinement of coaching plans adapted to specific population groups. COLAEVA enables coaching caregivers to interactively group similar older adults based on preliminary assessment data, using AI features, and to evaluate the influence of coaching plans once the final assessment is carried out for a baseline comparison. To evaluate COLAEVA, a usability test was carried out with 9 test participants obtaining an average SUS score of 71.1. Moreover, COLAEVA is available online to use and explore.
Reference35 articles.
1. (2021, February 02). World Health Statistics 2019: Monitoring Health for the SDGs, Sustainable Development Goals. Available online: https://www.who.int/publications-detail-redirect/world-health-statistics-2019-monitoring-health-for-the-sdgs-sustainable-development-goals. 2. Boland, L., Légaré, F., Perez, M.M.B., Menear, M., Garvelink, M.M., McIsaac, D.I., Painchaud Guérard, G., Emond, J., Brière, N., and Stacey, D. (2017). Impact of home care versus alternative locations of care on elder health outcomes: An overview of systematic reviews. BMC Geriatr., 17. 3. Ajduković, M., Cajvert, L., Judy, M., Knopf, W., Kuhn, H., Madai, K., and Voogd, M. (2016). ECVision. A European Glossary of Supervision and Coaching, Die Wiener Volkshochschule. 4. A New Approach for Ageing at Home: The CAPTAIN System;Konstantinidis;MedInfo,2019 5. Beristain Iraola, A., Álvarez Sánchez, R., Petsani, D., Hors-Fraile, S., Bamidis, P., and Konstantinidis, E. (2020, January 25–29). Virtual Coaching for Older Adults at Home using SMART Goal Supported Behavior Change. Proceedings of the Companion Publication of the 2020 International Conference on Multimodal Interaction, Association for Computing Machinery, New York, NY, USA.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
|
|