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Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders. Akane Sano, Javier Hernandez, Jean Deprey , Micah Eckhardt , Rosalind W. Picard, Matthew S. Goodwin 1 MIT Media Lab 1 Northeastern University.
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Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders Akane Sano, Javier Hernandez, Jean Deprey, Micah Eckhardt, Rosalind W. Picard, Matthew S. Goodwin1 MIT Media Lab 1Northeastern University
Relevant Work • Pen & paper • Flexible • Prone to errors • Slow • Other tools for annotations • CareLog(Hayes et al. 2008) • Baby Steps (Kientz et al. 2009) • SymTrend, AutismTrack,… • Annotation Apps
Application http://affect.media.mit.edu/projectpages/ama/
Application: Events Summary http://affect.media.mit.edu/projectpages/ama/
Application: Configuration http://affect.media.mit.edu/projectpages/ama/
Application: Benefits • Portable • Scalable • Inexpensive • Customizable • Reliable
User Study Groden Center 8 class teachers (6 females, ages 23-37, 2 males, ages 32, 52) • previous experience in behavior assessments using pen/paper annotations • familiar with the use of tablet computers
Results System Usability Scale - Score: 80.3 (std: 11) Strongly Agree Strongly Disagree (Brooke, 1996)
Results Strongly Disagree Strongly Agree
Other Findings No quantifiable impact on children's behaviors or school performance. One child especially enjoyed using the tablet in conjunction with the teacher. A smaller device could be a better option: “Change the size of the tablet to one possibly a little bigger than a smart phone so staff can put it in a pocket if need to respond to student with two hands free.”
Future Work • More systematic comparison between pen & paper method and the application • Inclusion of wireless biosensors • Infrastructure to share and visualize data
Conclusions • Mobile tool to easily capture and annotate challenging behaviors • Application available online • Potential benefits 1) Connecting stakeholders 2) Data-driven characterization of ASD 3) More personalized behavioral interventions http://affect.media.mit.edu/projectpages/ama/