Improving the Usability of Telepresence Teaching Robots
Zhang, M., Lotfi, N., Zhang, Z. & Esche, S. K.
Abstract accepted for 2018 ASEE Annual Conference and Exposition, Salt Lake City, Utah, USA, June 24 - 27, 2017.
Abstract
A telepresence robot is a device that allows people to videoconference on a moveable platform from a remote location.
The users can remotely control the robot’s motion and interact with each other through a screen.
These systems, which were originally designed to promote social interaction between people, have become popular in various application areas such as office environments, health care, independent living for the elderly, and distance teaching.
Although there is ample empirical work surrounding the use of telepresence and computer-mediated communication in education, few studies have examined telepresence robots in the classroom.
Although some studies have indicated positive learning experiences and outcomes in telepresence robot education, further research is needed to better identify the possible effects it has on student learning and perceptions of instructor credibility.
In order to maximize the students’ learning outcomes, it is very important to improve the usability of the telepresence robot platform for both the instructors and the students.
In addition, the instructor credibility is also crucial to the overall learning experience.
In the research presented here, an innovative remote teaching platform, which includes features of telepresence robots and social robots (which are autonomous robots that interact and communicate with humans by following social behaviors and rules associated with their roles), is developed.
It is believed that telepresence robots with the capabilities provided by social robots can improve the credibility of the instructor and the usability of the education platform, which all contribute to the students’ overall learning outcomes.