the owner and the robot? Using the results of the this
study, adapting algorithm of the robot’s behavior to
dog, researches on home robot will advance.
ACKNOWLEDGEMENTS
This work was supported by JSPS KAKENHI, Grant
Numbers 26330081, 2687020, and 16K124111.
The authors would like to thank Professor
Isshiki, Associate professor Sugimura, Associate
professor Yamazaki, and the Kanagawa Institute of
Technology for their help in this experiment.
These experiments were conducted with Voice
Research Inc., including Dr. Nishimura and Mr.
Yazawa.
REFERENCES
Akanksha Prakash, Jenay M. Beer, Travis Deyle, Cory-Ann
Smarr, Tiffany L. Chen, Tracy L. Mitzner, Charles C.
Kemp, Wendy A. Rogers, 2013. Older adults'
medication management in the home: How can robots
help?, Human-Robot Interaction (HRI), ACM/IEEE
International Conference, pp.283-290.
Aldenaran, 2015. http://www.softbank.jp/en/robot/
Jay Neitz, Timothy Geist and Gerald H. Jacobs, 1989. Color
vision in the dog, in Visual Neuroscience, 3, pp.119-
125.
Clara Mancini, Rob Harris, Brendan Aengenheister, Claire
Guest, 2015. Re-Centering Multispecies Practices: A
Canine Interface for Cancer Detection Dogs, CHI,
pp.2673-2682.
Clint Zeagler, Scott Gilliland, Larry Freil, Thad Starner and
Melody Moore Jackson, 2014. Going to the
Dogs:Towards an Interactive Touchscreen Interface for
Working Dogs, 27th ACM User Interface Software and
Technology Symposium (UIST), pp.497-507.
Gabriella Lakatos, Mariusz Janiak, Lukasz Malek, Robert
Muszynski, Veronika Konok, Krzysztof Tchon, A.
Miklosi, 2014. Sensing sociality in dogs: what may
make an interactive robot social?, Animal Cognition,
volume 17, Issue 2, pp.387-397.
Hitomi Chijiiwa, Hika Kuroshima, Yusuke Hori, James R.
Anderson and Kazuo Fujita, 2015. Dogs avoid people
who behave negatively to their owner: third-party
affective evaluation, Animal Behaviour, volume 106,
pp.123-127.
James Kennedy, Paul Baxter and Tony Belpaeme, 2015.
The Robot Who Tried Too Hard: Social Behaviour of a
Robot Tutor Can Negatively Affect Child Learning,
ACM/IEEE International Conference on Human-Robot
Interaction, pp.67-74.
K. L. Koay, G. Lakatos, D.S. Syrdal, M. Gácsi, B.
Bereczky, K. Dautenhahn, A. Miklósi and M. L.
Walters, 2013. Hey! There is someone at your door. A
Hearing Robot using Visual Communication Signals of
Hearing Dogs to Communicate Intent, Artificial Life
(ALIFE), IEEE Symposium, pp.90-97.
Kundey SM, De Los Reyes A, Royer E, Molina S, Monnier
B, German R and Coshun A, 2011. Reputation like
inference in domestic dogs (Canis familiaris). Animal
Cognition, pp.291–302.
Miho Nagasawa, Shouhei Mitsui, Shiori En, Nobuyo
Ohtani, Mitsuaki Ohta, Yasuo Sakuma, Tatsushi
Onaka, Kazutaka Mogi and Takefumi Kikusui, 2015.
Oxytocin-gaze positive loop and the coevolution of
human-dog bonds, Science, volume 17, pp.333-336.
Sofya Baskin, Anna Zamansky, 2015. The Player is
Chewing the Tablet!: Towards a Systematic Analysis of
User Behavior in Animal-Computer Interaction, CHI
PLAY, pp.463-468.