Microsoft Improves Windows 10's User Interface in Latest Preview Release

Microsoft issued the next build of its Windows 10 preview.

Build 10074 of the Windows 10 preview is coming to Microsoft's Windows Insider Program participants via the Windows Update automatic download process. Both "fast-ring" and "slow-ring" testers are getting this build, which features user interface improvements, plus a few bug fixes. Microsoft also is issuing ISOs of this build for testers who want clean installs of the OS.

Microsoft is now referring to its Windows 10 Technical Previews as "Insider Previews." That change was made to honour Windows Insider participants.However, the capability to discover apps through an interface in the Start Menu, something that was demonstrated by Belfiore, apparently made this release. The Start Menu has a section that suggests apps based on what people use. It uses Bing/Cortana in the background to come up with the recommendations.

This latest Windows 10 preview release brings back the Aero Glass transparent look. However, some testers will see a new "blur" effect that looks like frosted glass. Microsoft is sending out both interfaces to testers to see which one gets favored more.

Some things got fixed in this release. This build now lets testers launch their Win32 desktop apps from the Start Menu. Apps bought through the Windows Store for Windows 8.1 will now show up as purchased apps in the Windows Store beta version on Windows 10. An app playing audio now will continue to play when minimized. It's also now possible to download music using the Xbox Music and Music preview apps.

This build comes with problems, too. The People app "continues to crash." Developer Mode can't be used to test apps. Some games won't play in the full-screen mode.

Some things mentioned by Belfiore at Build apparently aren't in this preview. Belfiore had mentioned these coming improvements:

  • The return of "jump lists" with File Explorer and other apps
  • A lock-screen personalization feature called "Windows Spotlight" that learns what the user likes in terms of displayed images

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