This paper is in the following e-collection/theme issue:

Pilot studies (ehealth) (215) Mobile Health (mhealth) (2982) Methods and Feasibility Studies (384) Innovations and Technology for Healthy Eating Education (425) mHealth for Wellness, Behavior Change and Prevention (2922) Formative Evaluation of Digital Health Interventions (2491) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (93)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46659, first published .
Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study

Authors of this article:

Lucy Chikwetu1 Author Orcid Image ;   Shaundra Daily1 Author Orcid Image ;   Bobak J Mortazavi2 Author Orcid Image ;   Jessilyn Dunn3 Author Orcid Image
Article Authors Cited by (4) Tweetations (4) Metrics

Journals

  1. Choi S, Seo J, Hernandez M, Kitsiou S. Conversational agents in mHealth: use patterns, challenges, and design opportunities for individuals with visual impairments. Journal of Technology in Behavioral Science 2024;9(4):912 View
  2. Chikwetu L, Vakili P, Takais A, Younes R. Central Hemodynamic and Thermoregulatory Responses to Food Intake as Potential Biomarkers for Eating Detection: Systematic Review. Interactive Journal of Medical Research 2024;13:e52167 View
  3. Arigo D, Jake-Schoffman D, Pagoto S. The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024. Journal of Behavioral Medicine 2024 View
  4. Alnooh G, AlTamimi J, Williams E, Hawley M. An Investigation of the Feasibility and Acceptability of Using a Commercial DASH (Dietary Approaches to Stop Hypertension) App in People With High Blood Pressure: Mixed Methods Study. JMIR Formative Research 2024;8:e60037 View