Published on in Vol 11 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/50926, first published .
Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking

Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking

Usability and User Experience of an mHealth App for Therapy Support of Patients With Breast Cancer: Mixed Methods Study Using Eye Tracking

Journals

  1. Li F, Chen C, Liu Y, Chang D, Cui J, Sourina O. Autoencoder-enabled eye-tracking data analytics for objective assessment of user preference in humanoid robot appearance design. Expert Systems with Applications 2024;249:123857 View
  2. de Dios López A, Real J, Meza C, Borras-Santos A, Collado-Borrell R, Escudero-Vilaplana V, Gomis-Pastor M. Validation of a Questionnaire to Assess the Usability of and User Experience with Mobile Health Applications. Healthcare 2024;12(23):2328 View
  3. Hajesmaeel-Gohari S, Sheikhtaheri A, Dinari F, Farokhzadian J, Bahaadinbeigy K, Moulaei K. The psychometric assessment of the provider version of mHealth App Usability Questionnaire (MAUQ) in persian language. BMC Medical Informatics and Decision Making 2024;24(1) View
  4. Tretschock L, Haßdenteufel K, Volmer L, Bauer A, Stefanovic S, Engler T, Hartkopf A, Pfeifer N, Escher P, Mausch M, Heinze O, Sütterlin M, Brucker S, Schneeweiss A, Deutsch T, Wallwiener M. ENABLE – eine digitale therapiebegleitende Plattform für Patientinnen mit invasivem Mammakarzinom. Senologie - Zeitschrift für Mammadiagnostik und -therapie 2024;21(04):265 View