1 / 11

Hands-free Eyes-free Text Messaging

Hands-free Eyes-free Text Messaging. Derek Woodman, Jeffrey Gehring , Abdullah Alshalan Mobile Computing Fall 2010. Introduction. Our goal was to make an android application that makes it save to drive while texting Common place to have a hand-free system for placing phone calls

lee
Download Presentation

Hands-free Eyes-free Text Messaging

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Hands-free Eyes-free Text Messaging Derek Woodman, Jeffrey Gehring, Abdullah Alshalan Mobile Computing Fall 2010

  2. Introduction • Our goal was to make an android application that makes it save to drive while texting • Common place to have a hand-free system for placing phone calls • We are delivering a system that does this for texting • The system is hands-free and eyes-free so the driver still focus on driving

  3. How? • We used several APIs available in the android operating system • TTS – text to speech • STT – speech to text • Messaging API • Used Android because it is free and had access to lab phones • Used APIs because well documented and didn’t have to write our own • Android provides the tools • We put them together and performed testing.

  4. Design

  5. Application Demo • In class demo of SafeText • Prepare to be amazed!

  6. Testing • Most papers we have seen are concerned with how fast or accurate the speech system works • Wefocused on how well it improves the user’s attention – the main goal! • Our testing focused on the user’s reaction time.

  7. Stop Light Simulator • Shown picture of a stoplight • The light will change periodically • User asked to react to the light changing • Each user was tested under the following conditions • No texting • Regular texting • Voice texting • Measure the reaction time

  8. Stop Light Simulator http://www.youtube.com/watch?v=_d3em1pdBcU

  9. Results

  10. Discussion • Our test shows that our application improves the reaction time of users while texting • Reaction time reduced by more than half • Android’s speech recognition was better than expected. • Issues with Android – learning curve • Several threads running at once • Have to use function call backs to make sure processing has finished

  11. Questions?

More Related