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Title : 37 Million People at Risk 'Danger of Disruption' When Using Headphones
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37 Million People at Risk 'Danger of Disruption' When Using Headphones
[ad_1]Call for Hearable Technology to Increase Safety
London, England - May 14, 2019: New research shows that 37 million Americans who are shocked have put themselves in danger over the past 12 months when wearing headphones or earphones when walking, jogging, or biking. Examples include stepping out onto the road, crashing into someone or not hearing an emergency vehicle approaching.
Assigned by Audio Analytic, a leading AI technology company that focuses on speech recognition, this research explores the risk that people throughout the US are exposed to every day by being distracted from their surroundings while listening to music while traveling.
The risk of increasing younger consumers. More than one in four young people aged between 18 and 34 have put themselves in danger when wearing headphones, because 26% claim to find themselves in at least one dangerous situation over the past year, with many who have done this many times.
Despite this acknowledgment, the study found that the majority of people claimed to be aware of the dangers of wearing headphones and earphones in public. 96% of the population consider it dangerous to wear headphones or earphones while driving, while other activities that are considered dangerous include cycling (91%), running (86%) and traveling using public transportation (72%).
Dr. Chris Mitchell, CEO and Founder of Audio Analytic commentary; "Some people are worried about putting their lives at risk every day when wearing headphones and turning off the sense of hearing. Many of us use headphones to obstruct the world and increase our focus, but it carries the risk of losing awareness of our environment. The loss of important information in our environment can ultimately expose us to dangerous situations - and more needs to be done to prevent accidents from happening, we believe contextually conscious AI technology can be a reinforcement of this. "
Dr. Richard Lichenstein, Professor of Pediatrics at the University of Maryland, added; "Our analysis of accident reports shows that warnings were sounded before the accident in 29% of accidents involving pedestrians wearing headphones. The use of headphones has become commonplace for most pedestrians - and headphones with noise suppression features are becoming more popular. If noise suppression headphones can now be designed to recognize warning sounds and actively warn the wearer of danger, or automatically change sound transmission to increase awareness, then there is potential to reduce the risk of injury among headphone users. "
The results highlighted the demand for headphones to use artificial intelligence, with 88% wanting their audio devices to recognize and remind them of the sound of emergency vehicle sirens. Other important sounds that their headphones want to recognize are; fire alarm (92%), important announcements starting eg. practicing platform changes (83%) and gun shots (90%).
88% of Americans further agree that dynamic noise cancellation, where headphones save battery life by automatically activating noise cancellation when needed, will be useful in various locations such as home, commuting and in the gym. In addition, 58% will buy audible items that have dynamic sound equalization, which allows people who can hear to optimize the audio experience for different acoustic environments.
Dr. Chris Mitchell continued; "Modern headphones with active noise cancellation can increase the risk of harmful interference, but this device also offers a solution. They are equipped with an external microphone that presents the opportunity to add intelligent voice recognition to ensure contextual awareness. When the earphones themselves can hear and recognize important sounds, such as sirens, car horns or even doorbells or someone is talking, the device can warn the wearer or directly change settings to allow more noise through to increase awareness. In addition, by better understanding the world around us, wearable devices with voice recognition can also improve sound quality and better manage battery power. Sophisticated AI technology can make the next headphones we buy smart enough to understand context. We can then lose ourselves in our music without losing contact with the world around us. "
Other facts of this report include:
- 74% of US respondents own two or more pairs of headphones (other than those provided with the telephone.)
- 46% of people wear headphones for more than two hours a day
- 54% 'happy' or 'think it will be useful' to have artificial intelligence on things that can be heard. Only 12% will worry about it or will avoid it
- 81% of respondents are willing to sacrifice their battery life in exchange for smarter features
- The industry has passed the critical point of wired vs. wireless, with wireless devices now more popular among consumers, especially among those who spend more than $ 101
Download the 2019 Hearables Global Complete Report; AI Attitudes and Expectations here audioanalytic.com/hearables2019.
* Ends *
Note to editor
The survey was conducted among 6,012 consumers in the UK and US (3,008 in the UK and 3,004 in the US).
This research was conducted independently by Sapio Research on behalf of Audio Analytic at the end of March 2019. Details of respondents representing all genders, geographies, and ages. In this study, the probability is 95 out of 100 that the survey results do not vary, plus or minus, more than 1.3% of the results that would be obtained if interviews were conducted with everyone in the country.
According to the United States Census in 2010 (https://www.census.gov/prod/cen2010/briefs/c2010br-03.pdf), there were 234,564,071 US residents aged over 18 years. Our survey found that 15.72% of respondents felt they had put themselves in a dangerous situation at least once in the last 12 months while wearing headphones, earphones or earbuds.
About Audio Analytic
Audio Analytic is a global leader in intelligent voice recognition, using edge-based sophisticated AI to provide broad hearing technology to consumer technology.
At the heart of the company is a technology platform consisting of two synergistic parts:
- Alexandria ™ is the largest audio dataset that can be used commercially in the world for machine learning, displaying millions of audio files arranged taxonomically with complete data sources.
- AuditoryNET ™ is a deep neural network that is highly optimized for speech recognition, which models ideophonic sound features.
In addition to core technology, there are nearly 50 acoustic experts, data, machine learning, and embedded software engineering.
The company has successfully licensed its technology to major global brands, including two of the world's largest companies plus Hive, Iliad, Sengled, and others. The company has partners including Arm, Intel, Knowles, Ambarella, Ambiq, Vesper, Frontier and others.
Audio Analytic Ltd. is a private company supported by VC, founded in 2010 and headquartered in Cambridge, England with offices in San Francisco.
Contact
Marnie Spicer
Kaizo PR
+44 (0) 20 3176 4723
audioanalytic@kaizo.co.uk
Neil Cooper
Audio Analytics
neil.cooper@audioanalytic.com
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