Elaine S. Short
University of Southern California
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Publication
Featured researches published by Elaine S. Short.
robot and human interactive communication | 2014
Elaine S. Short; Katelyn Swift-Spong; Jillian Greczek; Alexandru Litoiu; Elena Corina Grigore; David J. Feil-Seifer; Samuel Shuster; Jin Joo Lee; Shaobo Huang; Svetlana Levonisova; Sarah Litz; Jamy Li; Gisele Ragusa; Donna Spruijt-Metz; Maja J. Matarić; Brian Scassellati
This paper describes an extended (6-session) interaction between an ethnically and geographically diverse group of 26 first-grade children and the DragonBot robot in the context of learning about healthy food choices. We find that children demonstrate a high level of enjoyment when interacting with the robot, and a statistically significant increase in engagement with the system over the duration of the interaction. We also find evidence of relationship-building between the child and robot, and encouraging trends towards child learning. These results are promising for the use of socially assistive robotic technologies for long-term one-on-one educational interventions for younger children.
ieee international conference on rehabilitation robotics | 2015
Katelyn Swift-Spong; Elaine S. Short; Eric Wade; Maja J. Matarić
We present a study with an autonomous Socially Assistive Robot (SAR) coach that investigates the effect of comparative feedback given by a SAR on the self-efficacy of individuals post-stroke in a seated reaching task. We compare two types of feedback, self-comparative and other-comparative, against a control of no comparative feedback, with 23 participants post-stroke. We find that participants receiving other-comparative feedback have significantly more delay time on the task than participants receiving self or no comparative feedback. In addition, we demonstrate that participants show task performance improvement over time, and provide responses to self-efficacy probes that vary along several dimensions.
human-robot interaction | 2011
Elaine S. Short; David J. Feil-Seifer; Maja J. Matarić
Several machine learning techniques are used to model the behavior of children with autism interacting with a humanoid robot, comparing a static model to a dynamic model using hand-coded features. Good accuracy (over 80%) is achieved in predicting child vocalizations; directions for future approaches to modeling the behavior of children with autism are suggested.
human-robot interaction | 2010
Elaine S. Short; Justin W. Hart; Michelle Vu; Brian Scassellati
human robot interaction | 2014
Jillian Greczek; Elaine S. Short; Caitlyn Clabaugh; Katelyn Swift-Spong; Maja J. Matarić
Archive | 2017
Elaine S. Short; Dale Short; Yifeng Fu; Maja J. Matarić
robot and human interactive communication | 2017
Elaine S. Short; Katelyn Swift-Spong; Hyunju Shim; Kristi M. Wisniewski; Deanah Kim Zak; Shinyi Wu; Elizabeth M. Zelinski; Maja J. Matarić
robot and human interactive communication | 2016
Elaine S. Short; Katherine Sittig-Boyd; Maja J. Matarić
robot and human interactive communication | 2016
Elaine S. Short; Maja J. Matarić
robot and human interactive communication | 2017
Elaine S. Short; Maja J. Matarić