Skip to main content

Wireless Handset Application for Americans


Ipsos Insight released research today which suggests that Global Positioning System (GPS) navigation could become the next "breakout" cell phone feature. As part of a wider survey of more than 1,000 U.S. adults on technology and communications trends, nearly 9 in 10 (86 percent ) of 171 users of mobile devices that offer visual display screens say that having a GPS navigation feature would be either "very important" or "nice to have" on the next handset they purchase. The response to GPS followed closely behind email, text messaging, and camera features, also considered utilitarian features, and greatly exceeded responses of demand for cell phone capabilities for watching TV (42 percent), downloading video (38 percent), and watching movies (33 percent).

Todd Board, Senior Vice President of the Ipsos Insight, said: "The emergence of GPS as a benefit of next-generation mobile devices has been largely overlooked as marketers have been focusing on entertainment-based services. Looking at the previous success of functional capabilities like email and Internet access on mobile devices, GPS is an obvious choice."

One potential GPS application, Board said, could be designed for anxious, security-minded parents. "We're seeing more focus on adaptations of cell phones specifically for the pre-teen market, with various �one-button' contact and security features. Certainly GPS could play well there," he noted.

Popular posts from this blog

AI Agents Have Memory. Where is The Security?

Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...