Sign In

Communications of the ACM

ACM TechNews

Technology Developed to Support Recovering Alcoholics

View as: Print Mobile App Share:

La Trobe University's Emmanuel Kuntsche said exposure to digital alcohol marketing is has been associated with drinking initiation among non-drinkers, increased levels of consumption among drinkers, and binge or hazardous drinking behavior.

Credit: La Trobe University (Australia)

Technology developed by researchers at Australia's La Trobe University (LTU) that measures the presence of alcohol in digital images could help recovering alcoholics evaluate their exposure to alcohol marketing on social media.

The researchers upgraded their Alcoholic Beverage Identification Deep Learning Algorithm (ABIDLA) and trained it on 191,286 images downloaded from Google and Bing image search results.

The upgrade, ABIDLA2, automatically identified images featuring one of eight beverage categories with 77% accuracy, then classified images containing an "alcoholic beverage" or "other" with 87.7% accuracy.

LTU's Abraham Albert Bonela said, "There is the possibility to integrate ABIDLA2 into a web browser [as a plugin] or a mobile application to quantify or limit exposure to alcohol exposure depending on individuals' preferences."

From La Trobe University (Australia)
View Full Article


Abstracts Copyright © 2023 SmithBucklin, Washington, DC, USA


No entries found

Sign In for Full Access
» Forgot Password? » Create an ACM Web Account