chanical noise from the robot, and the speed of move-
ment are factors that differ from the case of using an
actual robot.
Finally, in the experiment, we used an animation-
based virtual space instead of a real space. There-
fore, participants may react differently when using an
actual robot in a real space. In addition, the tasks
performed by the robot were limited to housekeep-
ing tasks. In housekeeping tasks, a user and a robot
share a relatively small space, and there are many sit-
uations in which their activity ranges overlap. It is
necessary to investigate the applicability of the pro-
posed method not only to housekeeping tasks but also
to tasks in public spaces such as commercial facilities.
6 CONCLUSION
This paper proposed a uniform changing robot and
conducted experiments involving a housekeeping task
simulator. In the experiments, a robot performed
cleaning, washing, and cooking tasks according to the
participants’ commands. We investigated user im-
pressions of robots that either wore no uniform or
changed its uniform to match the task. The exper-
imental results suggested that the participants inter-
preted the behavior of the robot under the uniform
changing condition as being more appropriate, even
if the task was incomplete, compared with that under
the no uniform condition. Although the appearance
of a robot can lead to significant biases among users,
there have been few studies on the effects of clothing.
In the present study, we investigated how the uniforms
worn by robots can affect such biases. This effect can
inform users that a robot has a specialty and can per-
form multiple tasks well, and may be effective for ex-
pressing the internal state of an autonomous robot. At
present, having a robot actually change its clothes by
itself remains a technical problem; however, a flexi-
ble display on the body of the robot could provide the
same function as uniform changing. We plan to ex-
pand the scope of this research with participants and
conduct experiments from different perspectives, be-
cause a uniform that conveys expertise, position, qual-
ifications, and group membership could be effective
for the design of robots.
REFERENCES
Belpaeme, T., Kennedy, J., Ramachandran, A., Scassellati,
B., and Tanaka, F. (2018). Social robots for education:
A review. Science Robotics, 3:eaat5954.
Bugmann, G. and Copleston, S. N. (2011). What can a per-
sonal robot do for you? In Proceedings of the 12th
Annual Conference on Towards Autonomous Robotic
Systems, TAROS’11, page 360–371, Berlin, Heidel-
berg. Springer-Verlag.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease
of Use, and User Acceptance of Information Technol-
ogy. MIS Quarterly, 13(3):319–340.
Havenith, G. (2002). Interaction of Clothing and Ther-
moregulation. Exogenous Dermatology, 1(5):221–
230.
Heerink, M., Kr
¨
ose, B., Evers, V., and Wielinga, B. (2010).
Assessing Acceptance of Assistive Social Agent Tech-
nology by Older Adults: the Almere Model. Interna-
tional Journal of Social Robotics, 2(4):361–375.
Heerink, M., Vanderborght, B., Broekens, J., and Alb
´
o-
Canals, J. (2016). New Friends: Social Robots in
Therapy and Education. International Journal of So-
cial Robotics, 8(4):443–444.
Hejazipoor, H., Massah, J., Soryani, M., Asefpour Vakilian,
K., and Chegini, G. (2021). An intelligent spraying
robot based on plant bulk volume. Computers and
Electronics in Agriculture, 180:105859.
Ho, C.-C. and MacDorman, K. F. (2010). Revisiting the
uncanny valley theory: Developing and validating an
alternative to the Godspeed indices. Computers in Hu-
man Behavior, 26(6):1508–1518.
Huisman, C. and Kort, H. (2019). Two-Year Use of Care
Robot Zora in Dutch Nursing Homes: An Evaluation
Study. Healthcare, 7(1):31.
Joseph, N. and Alex, N. (1972). The Uniform: A Socio-
logical Perspective. American Journal of Sociology,
77(4):719–730.
Kang, D., Kwak, S. S., Lee, H., and Choi, J. (2020).
First Things First: A Survey Exploring Key Ser-
vices and Functions of a Robot. In Companion
of the 2020 ACM/IEEE International Conference on
Human-Robot Interaction, HRI ’20, pages 278–280,
New York, NY, USA. Association for Computing Ma-
chinery.
Kiesler, S., Sproull, L., and Waters, K. (1996). A prisoner’s
dilemma experiment on cooperation with people and
human-like computers.
Komatsu, T. and Yamada, S. (2008). Effect of Agent Ap-
pearance on People’s Interpretation of Agent’s Atti-
tude. In CHI ’08 Extended Abstracts on Human Fac-
tors in Computing Systems, CHI EA ’08, pages 2919–
2924, New York, NY, USA. Association for Comput-
ing Machinery.
Komatsu, T. and Yamada, S. (2011). Adaptation gap hy-
pothesis: How differences between users’ expected
and perceived agent functions affect their subjective
impression. Journal Systemics, Cybernetics and In-
formatics, 9(1):67–74.
Legde, K. and Cunningham, D. W. (2019). Evaluating the
Effect of Clothing and Environment on the Perceived
Personality of Virtual Avatars. In Proceedings of the
19th ACM International Conference on Intelligent Vir-
tual Agents, IVA ’19, pages 206–208, New York, NY,
USA. Association for Computing Machinery.
CHIRA 2021 - 5th International Conference on Computer-Human Interaction Research and Applications
96