The Use of Social Sensorimotor Contingencies in Humanoid Robots
389
4. Engel, A.K., Maye, A., Kurthen, M., K¨ onig, P.: Where’s the action? the pragmatic
turn in cognitive science. Trends Cogn. Sci. 17(5), 202–209 (2013)
5. Di Paolo, E.A., De Jaegher, H.: The interactive brain hypothesis. Front. Hum.
Neurosci. 6, 163 (2012)
6. Freire, I.T., Puigb` o, J.-Y., Arsiwalla, X.D., Verschure, P.F.M.J.: Modeling the
opponent’s action using control-based reinforcement learning. In: Vouloutsi, V.,
et al. (eds.) Living Machines 2018. LNCS (LNAI), vol. 10928, pp. 179–186.
Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95972-6 19
7. Lall´ ee, S., et al.: Towards the synthetic self: making others perceive me as an other.
Paladyn, J. Behav. Robot. 1, 136–164 (2015). Open-issue
8. Auvray, M., Lenay, C., Stewart, J.: Perceptual interactions in a minimalist virtual
environment. New Ideas Psychol. 27(1), 32–47 (2009)
9. Robert, L.: Personality in the human robot interaction literature: a review and brief
critique. In: Robert, L.P. (ed.) Personality in the Human Robot Interaction Literature: A Review and Brief Critique, Proceedings of the 24th Americas Conference
on Information Systems, August, pp. 16–18 (2018)
10. Leuwerink, K.: A robot with personality: interacting with a group of humans. In:
Proceedings of the 16th Twente Student Conference on IT, vol. 4 (2012)
11. McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175–215 (1992)
12. Dhir, A., Pallesen, S., Torsheim, T., Andreassen, C.S.: Do age and gender differences exist in selfie-related behaviours? Comput. Hum. Behav. 63, 549–555 (2016)
13. Bernardet, U., V¨ aljam¨ ae, A., Inderbitzin, M., Wierenga, S., Mura, A., Verschure,
P.F.: Quantifying human subjective experience and social interaction using the
experience induction machine. Brain Res. Bull. 85(5), 305–312 (2011)
14. Verschure, P.F.: Distributed adaptive control: a theory of the mind, brain, body
nexus. Biol. Inspired Cogn. Archit. 1, 55–72 (2012)
15. Vouloutsi, V., Lall´ ee, S., Verschure, P.F.M.J.: Modulating behaviors using allostatic
control. In: Lepora, N.F., Mura, A., Krapp, H.G., Verschure, P.F.M.J., Prescott,
T.J. (eds.) Living Machines 2013. LNCS (LNAI), vol. 8064, pp. 287–298. Springer,
Heidelberg (2013). https://doi.org/10.1007/978-3-642-39802-5 25
16. Vouloutsi, V., Verschure, P.: Emotions and self-regulation. In: Prescott, T.J., Lepora, N.F., Verschure, P.F. (eds.) Living Machines, a Handbook of Research in
Biomimetic and Biohybrid Systems, chap. 34, pp. 327–337. Oxford University
Press, Oxford (2018)
17. Bartneck, C., Kuli´ c, D., Croft, E., Zoghbi, S.: Measurement instruments for
the anthropomorphism, animacy, likeability, perceived intelligence, and perceived
safety of robots. Int. J. Social Robot. 1(1), 71–81 (2009)
18. Chaudhari, B.L., Patil, J.K., Kadiani, A., Chaudhury, S., Saldanha, D.: Correlation
of motivations for selfie-posting behavior with personality traits. Ind. Psychiatry
J. 28(1), 123 (2019)
389
4. Engel, A.K., Maye, A., Kurthen, M., K¨ onig, P.: Where’s the action? the pragmatic
turn in cognitive science. Trends Cogn. Sci. 17(5), 202–209 (2013)
5. Di Paolo, E.A., De Jaegher, H.: The interactive brain hypothesis. Front. Hum.
Neurosci. 6, 163 (2012)
6. Freire, I.T., Puigb` o, J.-Y., Arsiwalla, X.D., Verschure, P.F.M.J.: Modeling the
opponent’s action using control-based reinforcement learning. In: Vouloutsi, V.,
et al. (eds.) Living Machines 2018. LNCS (LNAI), vol. 10928, pp. 179–186.
Springer, Cham (2018). https://doi.org/10.1007/978-3-319-95972-6 19
7. Lall´ ee, S., et al.: Towards the synthetic self: making others perceive me as an other.
Paladyn, J. Behav. Robot. 1, 136–164 (2015). Open-issue
8. Auvray, M., Lenay, C., Stewart, J.: Perceptual interactions in a minimalist virtual
environment. New Ideas Psychol. 27(1), 32–47 (2009)
9. Robert, L.: Personality in the human robot interaction literature: a review and brief
critique. In: Robert, L.P. (ed.) Personality in the Human Robot Interaction Literature: A Review and Brief Critique, Proceedings of the 24th Americas Conference
on Information Systems, August, pp. 16–18 (2018)
10. Leuwerink, K.: A robot with personality: interacting with a group of humans. In:
Proceedings of the 16th Twente Student Conference on IT, vol. 4 (2012)
11. McCrae, R.R., John, O.P.: An introduction to the five-factor model and its applications. J. Pers. 60(2), 175–215 (1992)
12. Dhir, A., Pallesen, S., Torsheim, T., Andreassen, C.S.: Do age and gender differences exist in selfie-related behaviours? Comput. Hum. Behav. 63, 549–555 (2016)
13. Bernardet, U., V¨ aljam¨ ae, A., Inderbitzin, M., Wierenga, S., Mura, A., Verschure,
P.F.: Quantifying human subjective experience and social interaction using the
experience induction machine. Brain Res. Bull. 85(5), 305–312 (2011)
14. Verschure, P.F.: Distributed adaptive control: a theory of the mind, brain, body
nexus. Biol. Inspired Cogn. Archit. 1, 55–72 (2012)
15. Vouloutsi, V., Lall´ ee, S., Verschure, P.F.M.J.: Modulating behaviors using allostatic
control. In: Lepora, N.F., Mura, A., Krapp, H.G., Verschure, P.F.M.J., Prescott,
T.J. (eds.) Living Machines 2013. LNCS (LNAI), vol. 8064, pp. 287–298. Springer,
Heidelberg (2013). https://doi.org/10.1007/978-3-642-39802-5 25
16. Vouloutsi, V., Verschure, P.: Emotions and self-regulation. In: Prescott, T.J., Lepora, N.F., Verschure, P.F. (eds.) Living Machines, a Handbook of Research in
Biomimetic and Biohybrid Systems, chap. 34, pp. 327–337. Oxford University
Press, Oxford (2018)
17. Bartneck, C., Kuli´ c, D., Croft, E., Zoghbi, S.: Measurement instruments for
the anthropomorphism, animacy, likeability, perceived intelligence, and perceived
safety of robots. Int. J. Social Robot. 1(1), 71–81 (2009)
18. Chaudhari, B.L., Patil, J.K., Kadiani, A., Chaudhury, S., Saldanha, D.: Correlation
of motivations for selfie-posting behavior with personality traits. Ind. Psychiatry
J. 28(1), 123 (2019)