An Interactive Robotic System for Promoting Social Engagement
2017
Conference Paper
hi
This abstract (and poster) is a condensed version of Burns' Master's thesis and related journal article. It discusses the use of imitation via robotic motion learning to improve human-robot interaction. It focuses on the preliminary results from a pilot study of 12 subjects. We hypothesized that the robot's use of imitation will increase the user's openness towards engaging with the robot. Post-imitation, experimental subjects displayed a more positive emotional state, had higher instances of mood contagion towards the robot, and interpreted the robot to have a higher level of autonomy than their control group counterparts. These results point to an increased user interest in engagement fueled by personalized imitation during interaction.
Author(s): | Rachael Burns and Hifza Javed and Myounghoon Jeon and Ayanna Howard and Chung Hyuk Park |
Book Title: | International Conference on Intelligent Robots and Systems (IROS) 2017 |
Year: | 2017 |
Month: | September |
Department(s): | Haptic Intelligence |
Bibtex Type: | Conference Paper (inproceedings) |
Paper Type: | Abstract |
Event Name: | International Conference on Intelligent Robots and Systems 2017 |
Event Place: | Vancouver, Canada |
BibTex @inproceedings{Burns17-IROS-Abstract2, title = {An Interactive Robotic System for Promoting Social Engagement}, author = {Burns, Rachael and Javed, Hifza and Jeon, Myounghoon and Howard, Ayanna and Park, Chung Hyuk}, booktitle = {International Conference on Intelligent Robots and Systems (IROS) 2017}, month = sep, year = {2017}, doi = {}, month_numeric = {9} } |