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CrashAlert provides peripheral information while texting-and-walking
CrashAlert: Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking
Mobile device use while walking, or eyes-busy mobile in-teraction, is a leading cause of life-threatening pedestrian collisions. We introduce CrashAlert, a system that aug-ments mobile devices with a depth camera, to provide dis-tance and location visual cues of obstacles on the user’s path. In a realistic environment outside the lab, CrashAlert users improve their handling of potential collisions, dodg-ing and slowing down for simple ones while lifting their head in more complex situations. Qualitative results outline the value of extending users’ peripheral alertness in eyes-busy mobile interaction through non-intrusive depth cues, as used in CrashAlert. We present the design features of our system and lessons learned from our evaluation.
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CrashAlert has received plenty of media attention:
- MIT Technology Review – Safe Texting While Walking? Soon, There May Be an App for That – [online]
- Asia One – New app to save you from embarrassing tumbles – [online]
- Discovery News – CrashAlert App Clears Way to Walk and Text – [online]
- Forbes – 3D Sensors Give Vision To CrashAlert App – [online]
- BBC News – Avoiding the pitfalls of texting and walking – [online]
- CTV Prime time news - [online]
- CBC Prime time news- [online]
Project Publications
CrashAlert: Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking
Hincapié-Ramos, J.D. and Irani, P. 2013. CrashAlert: Enhancing Peripheral Alertness for Eyes-Busy Mobile Interaction while Walking. In Proceedings of the 31st International Conference on Human Factors in Computing Systems (CHI '13). Paris, France. ACM. 3385-3388