PhD Defense by Ceara Byrne

Event Details
  • Date/Time:
    • Friday August 6, 2021
      2:00 pm - 4:00 pm
  • Location: Atlanta, GA; REMOTE
  • Phone:
  • URL: Bluejeans
  • Email:
  • Fee(s):
    N/A
  • Extras:
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Summaries

Summary Sentence: Wireless Interactive Devices for Gauging and Evaluating the Temperaments of Service and Working Dogs

Full Summary: No summary paragraph submitted.

Title: WIDGETs: Wireless Interactive Devices for Gauging and Evaluating the Temperaments of Service and Working Dogs

Ceara Byrne
Ph.D. Candidate
School of Interactive Computing
Georgia Institute of Technology

Date: Friday, August 6, 2021
Time: 2pm-4pm (EST)

Location: https://primetime.bluejeans.com/a2m/live-event/repfejzw (see more information at the bottom)

 

Committee:
Dr. Melody Moore Jackson, School of Interactive Computing, Georgia Institute of Technology
Dr. Thad Starner, School of Interactive Computing, Georgia Institute of Technology
Dr. Gregory Abowd, Electrical and Computer Engineering, Northeastern University; School of Interactive Computing, Georgia Institute of Technology
Dr. Thomas Plötz, School of Interactive Computing, Georgia Institute of Technology
Dr. Cynthia Otto, School of Veterinary Medicine Working Dog Center, University of Pennsylvania

Dr. David Roberts, Computer Science Department, North Carolina State University

 

Summary:
Both service and working dogs are significantly beneficial to society; however, a substantial number of dogs are released from time consuming and expensive training programs when their behavior is unsuitable for the role they are training to enter. Early prediction of which training programs dogs will succeed in would not only increase the availability of dogs, but also save time, training resources, and funding. This research explores whether aspects of canine temperament can be detected from interactions with sensors and develops machine learning models that use sensor data to predict the success of service and working dogs-in-training.

 

In this dissertation, we show the potential of instrumented ball and tug toys for predicting, with 87.5% accuracy, the success (or failure) of dogs entering advanced training in the Canine Companions for Independence (CCI) Program. We also find that the toys can predict whether a working dog-in-training at Auburn University's Canine Performance Sciences center (CPS) is suitable for advanced detection training with 83% accuracy. Lastly, we provide an exploratory analysis of the relationship between interaction features and (1) a canine's suitability outcomes in service dog programs, (2) a canine's suitability outcomes in working dog programs, (3) a canine's reasons for being released from a working dog program, and (4) the differences between successful service and working dogs. 

 

Additional Meeting Details:

To join, select from the following options:

 

1) Web Browser

a)https://primetime.bluejeans.com/a2m/live-event/repfejzw

 

2) Laptop paired with room system (Best Experience)

a) Dial: bjn.vc or 199.48.152.152 in the room system.

b) Go to https://primetime.bluejeans.com/a2m/live-event/repfejzw/room-system/

c) Enter the pairing code displayed on your room system screen into your browser.

 

3) Room System

a) Dial: bjn.vc or 199.48.152.152 in the room system.

b) Enter Meeting ID: 190617911 and Passcode: 5528

 

4)Joining via a mobile device?

a) Open this link : https://primetime.bluejeans.com/a2m/live-event/repfejzw

b) Download the app if you don’t have it already.

c) Enter event ID : repfejzw

 

5) Phone

Dial one of the following numbers, enter the participant PIN followed by # to confirm:

 

+1 (415) 466-7000 (US)

PIN 8725251 #

 

+1 (760) 699-0393 (US)

PIN 4839016337 #

 

Joining from outside the US? https://www.bluejeans.com/numbers/primetime-attendees/event?id=repfejzw 

Additional Information

In Campus Calendar
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Groups

Graduate Studies

Invited Audience
Faculty/Staff, Public, Graduate students, Undergraduate students
Categories
Other/Miscellaneous
Keywords
Phd Defense
Status
  • Created By: Tatianna Richardson
  • Workflow Status: Published
  • Created On: Jul 22, 2021 - 1:31pm
  • Last Updated: Jul 22, 2021 - 1:31pm