Automatic Generation of Personalized Recommendations in eCoaching
Original version
Chatterjee, A. (2023). Automatic Generation of Personalized Recommendations in eCoaching [Doctoral dissertation]. University of Agder.Abstract
Denne avhandlingen omhandler eCoaching for personlig livsstilsstøtte i sanntid ved bruk av informasjons- og kommunikasjonsteknologi. Utfordringen er å designe, utvikle og teknisk evaluere en prototyp av en intelligent eCoach som automatisk genererer personlige og evidensbaserte anbefalinger til en bedre livsstil. Den utviklede løsningen er fokusert på forbedring av fysisk aktivitet. Prototypen bruker bærbare medisinske aktivitetssensorer. De innsamlede data blir semantisk representert og kunstig intelligente algoritmer genererer automatisk meningsfulle, personlige og kontekstbaserte anbefalinger for mindre stillesittende tid. Oppgaven bruker den veletablerte designvitenskapelige forskningsmetodikken for å utvikle teoretiske grunnlag og praktiske implementeringer. Samlet sett fokuserer denne forskningen på teknologisk verifisering snarere enn klinisk evaluering.
Has parts
Paper I: Chatterjee, A., Prinz, A., Gerdes, M. & Martinez, S. (2021). Digital interventions on healthy lifestyle management: Systematic review. Journal of Medical Internet Research, 23 (11). https://doi.org.10.2196/26931. Submitted version. Full-text is available in AURA as a separate file: https://hdl.handle.net/11250/2990381Paper II: Chatterjee, A., Gerdes, M., Martinez, S. & Prinz, A. (2021). Human Coaching Methodologies for Automatic Electronic Coaching (eCoaching) as Behavioral Interventions with Information and Communication Technology: Systematic Review. Journal of Medical Internet Research, 23(3). https://doi.org.10.2196/23533. Submitted version. Full-text is available in AURA as a separate file: https://hdl.handle.net/11250/2990332
Paper III: Chatterjee, A., Prinz, A., Gerdes, M., & Martinez, S. An automatic ontologybased approach to support logical representation of observable and measurable data for healthy lifestyle management: Proof-of-concept study. Journal of Medical Internet Research, 23,(4). https://doi.org/10.2196/24656. Submitted version. Full-text is available in AURA as a separate file: pending
Paper IV: Chatterjee, A. & Prinz, A. (2022). Personalized Recommendations for Physical Activity e-Coaching (OntoRecoModel): Ontological Modeling. JMIR Medical Informatics, 10(6), 1-18. https://doi.org/10.2196/33847. Submitted version. Full-text is available in AURA as a separate file: https://hdl.handle.net/11250/3034768
Paper V: A. Chatterjee, A. Prinz, M. Riegler, and Y.K. Meena. An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology. Scientific Reports, Nature, 13, 23. https://doi.org/10.1038/s41598-023-37233-7. Submitted version. Full-text is available in AURA as a separate file: pending
Paper VI: Chatterjee, A., Prinz, A., Gerdes, M., Martinez, S., Pahari, N. & Meena Y.K. ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations. BMC Health Services Research, 22, 26. https://doi.org/10.1186/s12913-022-08441-0. Submitted version. Full-text is available in AURA as a separate file: https://hdl.handle.net/11250/3029912