CONCLUSION
In this paper, we presented the design and evaluation of gaze
behaviors for socially assistive robots that allow the robot to
match the extroversion dimension of personality to the user,
thereby more effectively motivating users to repeatedly engage
in a therapeutic task. These robot behaviors were designed
by analyzing the gaze behavior of participants in a humanhuman
data collection study, and were validated in an online
study to express either an extroverted or introverted personality.
The evaluation also demonstrated the importance of taking
the user’s intrinsic motivation into account when attempting
to produce external motivation and increase compliance. In
general, socially assistive robots offer a particularly powerful
way of improving motivation and compliance in rehabilitation
settings due to their physical embodiment and ability to
use nonverbal communication channels. By effectively taking
advantage of these abilities and designing methods for
adapting to the characteristics of their users, these systems can
dramatically improve the quality of life for people in need.