General and in-depth comfort of biometrics among US consumers – survey


According to a report from a software analytics company, the convenience of biometric ID systems seems to outweigh the security concerns, at least when using multi-factor authentication.

GetApp says a investigation he released on Tuesday says a significant portion of the United States — 46% — now feels systems that scan faces, voices, irises, fingers, and other biometric identifiers have improved their lives.

Consumers surveyed reportedly told GetApp analysts that biometrics have even made the pandemic easier to bear.

In a similar report published in 2020, fingerprint scans were the least taxing for respondents, a finding not entirely surprising then or now. Comfort with fingerprint biometrics reached 62 two years ago and increased by a negligible percentage point to 63% this year.

Yet acceptance of systems that use faces and irises as identifiers increased by nearly 40% and 31%, respectively, over the two years. Comfort with facial biometrics in retail has increased by 81% over the same period, coinciding with the onset of COVID-19.

This margin could have increased in 2020 as well. A vendor survey released two years ago indicated that US consumers were more enthusiastic than others about retailers using facial biometrics.

Facial recognition is accepted by 44% of respondents this year, up from 32% two years ago. Voice biometrics is good with 34% compared to 27% in 2020.

Palm biometrics, introduced to many consumers by Amazon, went from 20% two years ago to 26%, and iris scans went from 16% in 2020 to 21% today.

In fact, according to the report, the percentage of people OK with facial recognition increased in all economic sectors measured, sometimes doubling, such as in personalized advertising.

Interestingly, consumers are also more than twice as comfortable with the controversial emotion analytics market.

Article topics

biometrics | commercial applications | consumer adoption | consumer electronics | contactless | facial biometrics | multi-factor authentication | personalization | retail biometrics


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