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

ABSTRACT:

Background

Effective monitoring of dietary habits is critical for promoting healthy lifestyles and preventing or delaying the onset and progression of diet-related diseases, such as type 2 diabetes. Recent advances in speech recognition technologies and natural language processing present new possibilities for automated diet capture; however, further exploration is necessary to assess the usability and acceptability of such technologies for diet logging.

Objective

This study explores the usability and acceptability of speech recognition technologies and natural language processing for automated diet logging.

Methods

We designed and developed base2Diet-an iOS smartphone application that prompts users to log their food intake using voice or text. To compare the effectiv

SUBMITTER: Chikwetu L 

PROVIDER: S-EPMC10230351 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature