These female tech fans are even more pronounced in emerging markets such as China, where more than 7 out of 10 women over the age of 45 believe people don’t use technology enough. Women in emerging markets across ages believe innovations will drive better education (66 percent), transportation (58 percent), work (57 percent) and healthcare (56 percent). Women in emerging markets would be willing to embrace technologies others may consider to be too personal to improve their experiences: software that watches their work habits (86 percent), students’ study habits (88 percent) and even smart toilets that monitor their health (77 percent).“Women historically have become avid users of technology when that technology solves a problem, helps us organize our lives and that of our families as well as aids us in saving time and time shifting,” added Bell. “I have to wonder whether this data is showing that women are optimistic because they see technology innovation that is starting to deliver on the promise of better fitting into the rhythms of our days, helping with our specific concerns and needs, and creating new compelling experiences that women and men alike will find valuable.” Digital Affluence and Data Sharing The research revealed that individuals with high incomes are the most willing to anonymously share personal data, such as results of lab tests and travel information. They are also the most likely to own technology devices and engage with technology on a regular basis. However, the research revealed that it is possible to incentivize sharing by showing the specific benefits. For example, when asked if they would share personal information to lower costs of medications, the number of low-income consumers previously unwilling to share their data dramatically increases from 66 to 80 percent. While showing personal benefits is the most compelling way to close the gap between those who will share and those who won’t, even showing societal benefits such as improved health treatments or lower costs of commuting helps to make the case for sharing.
“The need for us to show personal meaning and relevance has never been more important for the technology industry,” Bell said. “Listening to what people really want and creating technologies that adapt to a wide variety of personal experiences is the future of technology.”Intel Innovation Barometer: Key Findings Millennials Get Tough on Today’s Tech
- Fifty-nine percent of millennials feel society relies on technology too much and makes people less human (61 percent).
- More than one-third (36 percent) think technology should learn about their behavior and preferences when they use it.
- Positive on the future of technology in their countries, more than 70 percent of millennials will favor smart public parking and traffic control for emergency vehicles, applications that watch their work habits and smart pills that monitor their health.
- Globally, women older than 45 years of age are more likely than younger women to say that people don’t use enough technology, and this sentiment is particularly strong in emerging markets. In Brazil, 42 percent of women over 45 years of age say that people don’t use technology enough compared with just 27 percent of those less than 45 years of age.
- Older women are more likely to say that technology makes people more human. In China 79 percent of women over 45 years of age say technology makes users more human versus 64 percent of younger women.
- Women in emerging markets believe technology will drive better education (66 percent), transportation (58 percent), work (57 percent) and healthcare (56 percent).
- Eighty-one percent of high-income individuals would share anonymous personal information, such as lab tests and health monitoring, in order to support research, compared with 71 percent of individuals with mid-level incomes and 66 percent of those with lower incomes.
- When asked if they would share personal data in exchange for lower costs of medications, the percentage of lower income individuals who agree jumps to 80 percent.
- Individuals with higher incomes are more willing to let an application learn about their work habits to help make them more efficient (77 percent of individuals with high incomes versus 63 percent of those with low incomes).
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