HCI International 2015
Los Angeles, CA, USA
2-7 August 2015

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Human-Computer Interaction Best Paper Award

Human-Computer Interaction Best Paper Award. Details in text following the image.

Best Paper Award for the Human-Computer Interaction thematic area, in the context of HCI International 2015, 2-7 August 2015, Los Angeles, CA, USA


Certificate for best paper award of the Human-Computer Interaction thematic area. Details in text following the image

Certificate for Best Paper Award of the Human-Computer Interaction thematic area
conferred to

Sheryl Brahnam, Jenifer J. Roberts (Missouri State University, USA)
Loris Nanni (University of Padua, Italy)
Cathy L. Starr, Sandra L. Bailey (Missouri State University, USA)

for the paper entitled

"Design of a Bullying Detection/Alert System for School-Wide Intervention"

Presented in the context of
HCI International 2015
2-7 August 2015, Los Angeles, CA, USA

Paper Abstract
"In this paper we propose a bullying detection/alert system for school-wide intervention that combines wearables with heart rate (HR) monitors, surveillance cameras, multimodal machine learning, cloud computing, and mobile devices. The system alerts school personnel when potential bullying is detected and identifies potential bullying in three ways: (i) by tracking and assessing the proximity of known bullies to known students at risk for bullying; (ii) by monitoring stress levels of students via HR analysis; and (iii) by recognizing actions, emotions, and crowd formations associated with bullying. We describe each of these components and their integration, noting that it is possible for the system to use only a network of surveillance cameras. Alerts produced by the system can be logged. Reviews of these logs and tagged videos of detected bullying would allow school personnel to review incidents and their methods for handling bullying by providing more information about the locations, causes, and actors involved in bullying as well as teacher/staff response rates. In addition, false positives could be marked and fed back to the system for relearning and continuous improvement of the system."

The full paper is available through SpringerLink, provided that you have proper access rights.


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