1,594
Views
21
CrossRef citations to date
0
Altmetric
Articles

Socially grounded game strategy enhances bonding and perceived smartness of a humanoid robot

, , , &
Pages 81-98 | Received 23 Aug 2016, Accepted 16 May 2017, Published online: 16 Nov 2017

References

  • Amari, S. (1977). Dynamics of pattern formation in lateral-inhibition type neural fields. Biological Cybernetics, 27(2), 77–87.
  • Bailey, D., & Lewis, D. (2004, November). A checkers playing robot. Proceedings of the eleventh electronics New Zealand conference, ENZCon'04, Palmerston North (pp. 218–222).
  • Barakova, E. I., Bajracharya, P., Willemsen, M., Lourens, T., & Huskens, B. (2015). Long-term lego therapy with humanoid robot for children with asd. Expert Systems, 32(6), 698–709.
  • Barakova, E. I., & Chonnaparamutt, W. (2009). Timing sensory integration. IEEE Robotics & Automation Magazine, 16(3), 51–58.
  • Barakova, E. I., Gorbunov, R., & Rauterberg, M. (2015). Automatic interpretation of affective facial expressions in the context of interpersonal interaction. IEEE Transactions on Human–Machine Systems, 45(4), 409–418.
  • Coninx, A., Baxter, P., Oleari, E., Bellini, S., Bierman, B., Henkemans, O. B., ... Espinoza, R. R. (2016). Towards long-term social child–robot interaction: Using multi-activity switching to engage young users. Journal of Human–Robot Interaction, 5(1), 32–67.
  • de Graaf, M., Allouch, S. B., & van Dijk, J. (2017). Why do they refuse to use my robot?: Reasons for non-use derived from a long-term home study. Proceedings of the 2017 ACM/IEEE international conference on human–robot interaction, Vienna, Austria (pp. 224–233). ACM.
  • El-Nasr, M. S., Aghabeigi, B., Milam, D., Erfani, M., Lameman, B., Maygoli, H., & Mah, S. (2010). Understanding and evaluating cooperative games. Proceedings of the 28th international conference on human factors in computing systems, Atlanta, Georgia, USA (pp. 253–262).
  • Ertel, W. (2011). Introduction to artificial intelligence, Undergraduate Topics in Computer Science, London: Springer.
  • Gal, Y., & Pfeffer, A. (2006). Predicting people's bidding behavior in negotiation. Proceedings of the 5th international joint conference on autonomous agents and multiagent systems, Hakodate, Japan (pp. 370–376).
  • Gal, Y., & Pfeffer, A. (2007). Modeling reciprocal behavior in human bilateral negotiation. Proceedings of the 22nd national conference on artificial intelligence, Vancouver, British Columbia, Canada (Vol. 1, pp. 815–820).
  • Gal, Y., Pfeffer, A., Marzo, F., & Grosz, B. J. (2004). Learning social preferences in games. Proceedings of the 19th national conference on artificial intelligence, San Jose, California (pp. 226–231).
  • Gockley, R., Bruce, A., Forlizzi, J., Michalowski, M., Mundell, A., Rosenthal, S., ... Wang, J. (2005). Designing robots for long-term social interaction. 2005 IEEE/RSJ international conference on intelligent robots and systems, Edmonton, Alberta, Canada (pp. 1338–1343).
  • Gorbunov, R., Barakova, E. I., Ahn, R. M. C., & Rauterberg, M. (2011). Monitoring interpersonal relationships through games with social dilemma. IJCCI (ECTA-FCTA), Paris, France (pp. 5–12). Citeseer.
  • Gorbunov, R., Barakova, E. I., & Rauterberg, M. (2013). Design of social agents. Neurocomputing, 114, 92–97.
  • Jennett, C., Cox, A. L., Cairns, P., Dhoparee, S., Epps, A., Tijs, T., & Walton, A. (2008). Measuring and defining the experience of immersion in games. International Journal of Human–Computer Studies, 66(9), 641–661.
  • Kanda, T., Shiomi, M., Miyashita, Z., Ishiguro, H., & Hagita, N. (2010). A communication robot in a shopping mall. IEEE Transactions on Robotics, 26(5), 897–913.
  • Kofinas, N. (2012). Forward and inverse kinematics for the NAO humanoid robot (M.S. thesis). Technical University of Crete, Chania.
  • Lagoudakis, M. G., Kofinas, N., & Orfanoudakis, E. (2013). Complete analytical inverse kinematics for NAO. 13th international conference on autonomous robot systems (Robotica), Lisbon, Portugal.
  • Leite, I., Martinho, C., & Paiva, A. (2013). Social robots for long-term interaction: A survey. International Journal of Social Robotics, 5(2), 291–308.
  • Marschner, S., Shirley, P., & Ashikhmin, M. (2009). Fundamentals of computer graphics. Natick, MA: A K Peters/CRC Press.
  • Marzo, F., Gal, Y., Grosz, B. J., & Pfeffer, A. (2004). Social preferences in relational contexts. Proceedings of the 4th conference in collective intentionality.
  • Muller, J., Frese, U., & Rofer, T. (2012, November). Grab a mug – Object detection and grasp motion planning with the NAO robot. 12th IEEE-RAS international conference on humanoid robots (Humanoids), Osaka, Japan (pp. 349–356).
  • Sauser, E. L., & Billard, A. G. (2006). Biologically inspired multimodal integration: Interferences in a human–robot interaction game. 2006 IEEE/RSJ international conference on intelligent robots and systems, Beijing, China.
  • Schauer, C., & Gross, H.-M. (2004). Design and optimization of amari neural fields for early auditory–visual integration. Proceedings 2004 IEEE international joint conference on neural networks, Budapest, Hungary (Vol. 4, pp. 2523–2528).
  • Stramigioli, S., & Duindam, V. (2009). Modeling and control for efficient bipedal walking robots: A port-based approach. Berlin: Springer.
  • Softbank Robotics. (2012). NAO software 1.14.5 documentation – Cartesian control.
  • van Wissen, A., van Diggelen, J., & Dignum, V. (2009). The effects of cooperative agent behavior on human cooperativeness. Proceedings of the 8th international conference on autonomous agents and multiagent systems, Budapest, Hungary (Vol. 2, pp. 1179–1180).
  • Vidyasagar, M., Spong, M. W., & Hutchinson, S. (2006). Robot modeling and control. Hoboken, NJ: John Wiley & Sons.
  • Wada, K., Shibata, T., Asada, T., & Musha, T. (2007). Robot therapy for prevention of dementia at home. Journal of Robotics and Mechatronics, 19(6), 691.