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Users' Perspective on the AI-Based Smartphone PROTEIN App for Personalized Nutrition and Healthy Living: A Modified Technology Acceptance Model (mTAM) Approach

  • Sofia Balula Dias
  • , Yannis Oikonomidis
  • , José Alves Diniz
  • , Fátima Baptista
  • , Filomena Carnide
  • , Alex Bensenousi
  • , José María Botana
  • , Dorothea Tsatsou
  • , Kiriakos Stefanidis
  • , Lazaros Gymnopoulos
  • , Kosmas Dimitropoulos
  • , Petros Daras
  • , Anagnostis Argiriou
  • , Konstantinos Rouskas
  • , Saskia Wilson-Barnes
  • , Kathryn Hart
  • , Neil Merry
  • , Duncan Russell
  • , Jelizaveta Konstantinova
  • , Elena Lalama
    • Andreas Pfeiffer, Anna Kokkinopoulou, Maria Hassapidou, Ioannis Pagkalos, Elena Patra, Roselien Buys, Véronique Cornelissen, Ana Batista, Stefano Cobello, Elena Milli, Chiara Vagnozzi, Sheree Bryant, Simon Maas, Pedro Bacelar, Saverio Gravina, Jovana Vlaskalin, Boris Brkic, Gonçalo Telo, Eugenio Mantovani, Olga Gkotsopoulou, Dimitrios Iakovakis, Stelios Hadjidimitriou, Vasileios Charisis, Leontios J. Hadjileontiadis
  • Faculdade de Motricidade Humana, Universidade de Lisboa
  • Intrasoft International SA
  • Grupo CMC
  • Centre for Research & Technology Hellas
  • School of Biosciences and Medicine
  • Ocado Technology
  • Charité-Universitätsklinikum Berlin
  • International Hellenic University
  • KU Leuven
  • Sport Lisboa Benfica Futebol
  • Polo Europeo della Conoscenza
  • European Association for the Study of Obesity (EASO)
  • AGRIFOOD CAPITAL BV
  • Healthium/Nutrium Software
  • DATAWIZARD SRL
  • Research and Development Institute for Information Technology in Biosystems
  • Wireless Biosignals, S.A.
  • Vrije Universiteit Brussel
  • Aristotle University of Thessaloniki

Research output: Contribution to journal › Article › peer-review

37 Scopus citations

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