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Article published In: Interaction Studies
Vol. 20:2 (2019) ► pp.234255

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References (38)
References
Bainbridge, W. A., Hart, J., Kim, E. S., & Scassellati, B. (2008, August). The effect of presence on human-robot interaction. In Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on (pp. 701–706). IEEE.Google Scholar logo with link to Google Scholar
Breazeal, C., Brooks, A., Gray, J., Hoffman, G., Kidd, C., Lee, H., … & Mulanda, D. (2004). Humanoid robots as cooperative partners for people. Int. Journal of Humanoid Robots, 1(2), 1–34.Google Scholar logo with link to Google Scholar
Brooks, D. J., Begum, M., and Yanco, H. A. (2016). “Analysis of reactions towards failures and recovery strategies for autonomous robots,” in Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN 2016) (New York, NY: IEEE), 487–492.Google Scholar logo with link to Google Scholar
Chennells, M., Michael, J. (2018). Effort and performance in a cooperative activity are boosted by the perception of a partner’s effort, Nature: Scientific Reports (2018) 81:15692 | Google Scholar logo with link to Google Scholar
Clodic, A., Cao, H., Alili, S., Montreuil, V., Alami, R., & Chatila, R. (2009). Shary: a supervision system adapted to human-robot interaction. In Experimental Robotics (pp. 229–238). Springer Berlin/Heidelberg. Google Scholar logo with link to Google Scholar
Clodic, A., Fleury, S., Alami, R., Chatila, R., Bailly, G., Brethes, L., …others (2006). Rackham: An interactive robot-guide. In ROMAN 2006-the 15th IEEE International Symposium on Robot and Human Interactive Communication, Hatfield (pp. 502–509). Google Scholar logo with link to Google Scholar
Cousineau, D. (2005). Confidence intervals in within-subject designs: A simpler solution to Loftus and Masson’s method. Tutorials in Quantitative Methods for Psychology, 1(1), 42–45. Google Scholar logo with link to Google Scholar
Cully, A., Clune, J., Tarapore, D., & Mouret, J. B. (2015). Robots that can adapt like animals. Nature, 521(7553), 503–507. Google Scholar logo with link to Google Scholar
DeSteno, D., Breazeal, C., Frank, R. H., Pizarro, D., Baumann, J., Dickens, L., & Lee, J. J. (2012). Detecting the trustworthiness of novel partners in economic exchange. Psychological science, 23(12), 1549–1556. Google Scholar logo with link to Google Scholar
Dragan, A. D., Lee, K. C., & Srinivasa, S. S. (2013, March). Legibility and predictability of robot motion. In Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on (pp. 301–308). IEEE.Google Scholar logo with link to Google Scholar
Fasola, J., and Matarić, M. J. A socially assistive robot exercise coach for the elderly. Journal of Human-Robot Interaction 2.2 (2013): 3–32. Google Scholar logo with link to Google Scholar
Faul, F., Erdfelder, E., Buchner, A., & Lang, A. G. (2009). Statistical power analyses using G∗ Power 3.1: Tests for correlation and regression analyses. Behavior Research Methods, 41(4), 1149–1160. Google Scholar logo with link to Google Scholar
Feltz, D. L., Forlenza, S. T., Winn, B., & Kerr, N. L. (2014). Cyber buddy is better than no buddy: A test of the Köhler motivation effect in exergames. GAMES FOR HEALTH: Research, Development, and Clinical Applications, 3(2), 98–105. Google Scholar logo with link to Google Scholar
Ferrari, F., Eyssel, F. 2016. Toward a Hybrid Society. In: Springer Handbook of Robotics. Springer International Publishing, p. 909–918.Google Scholar logo with link to Google Scholar
Fischer, K. (2011). How people talk with robots: Designing dialog to reduce user uncertainty. AI Magazine, 32(4), 31–38. Google Scholar logo with link to Google Scholar
Grigore, E. C., Eder, K., Pipe, A. G., Melhuish, C., & Leonards, U. (2013, November). Joint action understanding improves robot-to-human object handover. In Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on (pp. 4622–4629). IEEE. Google Scholar logo with link to Google Scholar
Hamacher, A., Bianchi-Berthouze, N., Pipe, A. G., & Eder, K. (2016, August). Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-Robot Interaction. In Robot and Human Interactive Communication (RO-MAN), 2016 25th IEEE International Symposium on (pp. 493–500). IEEE.Google Scholar logo with link to Google Scholar
Kahn Jr, P. H., Kanda, T., Ishiguro, H., Freier, N. G., Severson, R. L., Gill, B. T., … & Shen, S. (2012). “Robovie, you’ll have to go into the closet now”: Children’s social and moral relationships with a humanoid robot. Developmental psychology, 48(2), 303. Google Scholar logo with link to Google Scholar
Lee, M. K., Kiesler, S., Forlizzi, J. Receptionist or information 
kiosk: How do people talk with a robot? Presented at the Conference on Computer-Supported Cooperative Work, New York, 2010.
Lee, J. J., Knox, B., Baumann, J., Breazeal, C., & DeSteno, D. (2013). Computationally modeling interpersonal trust. Frontiers in psychology, 41, 893. Google Scholar logo with link to Google Scholar
Lenz, C., Nair, S., Rickert, M., Knoll, A., Rosel, W., Gast, J., … & Wallhoff, F. (2008, August). Joint-action for humans and industrial robots for assembly tasks. In Robot and Human Interactive Communication, 2008. RO-MAN 2008. The 17th IEEE International Symposium on (pp. 130–135). IEEE. Google Scholar logo with link to Google Scholar
Loftus, G. R., & Masson, M. E. (1994). Using confidence intervals in within-subject designs. Psychonomic bulletin & review, 1(4), 476–490. Google Scholar logo with link to Google Scholar
Michael, J., & Salice, A. (2017). The Sense of Commitment in Human–Robot Interaction. International journal of social robotics, 9(5), 755–763. Google Scholar logo with link to Google Scholar
Michael, J., Sebanz, N., & Knoblich, G. (2015). The sense of commitment: A minimal approach. Frontiers in psychology, 61, 1968.Google Scholar logo with link to Google Scholar
(2016). Observing joint action: Coordination creates commitment. Cognition, 1571, 106–113. Google Scholar logo with link to Google Scholar
Mirnig, N., Stollnberger, G., Miksch, M., Stadler, S., Giuliani, M., & Tscheligi, M. (2017). To err is robot: How humans assess and act toward an erroneous social robot. Frontiers in Robotics and AI, 4, 21.Google Scholar logo with link to Google Scholar
Palinko, O., Sciutti, A., Wakita, Y., Matsumoto, Y., & Sandini, G. (2016, November). If looks could kill: Humanoid robots play a gaze-based social game with humans. In Humanoid Robots (Humanoids), 2016 IEEE-RAS 16th International Conference on (pp. 905–910). IEEE. Google Scholar logo with link to Google Scholar
Peirce, J. W. (2007). PsychoPy – Psychophysics software in Python. Journal of Neuroscience Methods, 162(1–2), 8–13. Google Scholar logo with link to Google Scholar
Schneider, S. & Kümmert, F. Exercising with a humanoid companion are more effective than exercising alone, 2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), Cancun, 2016, pp. 495–501. Google Scholar logo with link to Google Scholar
Sciutti, A., Bisio, A., Nori, F., Metta, G., Fadiga, L., & Sandini, G. (2012). Anticipatory gaze in human-robot interactions. In Gaze in HRI from modeling to communication” workshop at the 7th ACM/IEEE international conference on human-robot interaction, Boston, Massachusetts, USA.Google Scholar logo with link to Google Scholar
(2013). Robots can be perceived as goal-oriented agents. Interaction Studies, 14(3), 329–350. Google Scholar logo with link to Google Scholar
Sciutti, A., Bisio, A., Nori, F., Metta, G., Fadiga, L., Pozzo, T., & Sandini, G. (2012). Measuring human-robot interaction through motor resonance. International Journal of Social Robotics, 4(3), 223–234. Google Scholar logo with link to Google Scholar
Sciutti, A., Schillingmann, L., Palinko, O., Nagai, Y., & Sandini, G. (2015, March). A gaze-contingent dictating robot to study turn-taking. In Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction Extended Abstracts (pp. 137–138). ACM.Google Scholar logo with link to Google Scholar
Sebanz, N., Knoblich, G., & Prinz, W. (2003). Representing others’ actions: Just like one’s own? Cognition, 881, B11–B21. Google Scholar logo with link to Google Scholar
Stenzel, A., Chinellato, E., Bou, M. A. T., del Pobil, Á. P., Lappe, M., & Liepelt, R. (2012). When humanoid robots become human-like interaction partners: corepresentation of robotic actions. Journal of Experimental Psychology: Human Perception and Performance, 38(5), 1073.Google Scholar logo with link to Google Scholar
Stulp, F., Grizou, J., Busch, B., & Lopes, M. (2015, September). Facilitating intention prediction for humans by optimizing robot motions. In Intelligent Robots and Systems (IROS), 2015 IEEE/RSJ International Conference on (pp. 1249–1255). IEEE. Google Scholar logo with link to Google Scholar
Székely, M., & Michael, J. (2018). Investing in commitment: Persistence in a joint action is enhanced by the perception of a partner’s effort. Cognition, 1741, 37–42. Google Scholar logo with link to Google Scholar
Wainer, J., Feil-Seifer, D. J., Shell, D. A., & Mataric, M. J. (2006, September). The role of physical embodiment in human-robot interaction. In Robot and Human Interactive Communication, 2006. ROMAN 2006. The 15th IEEE International Symposium on (pp. 117–122). IEEE.Google Scholar logo with link to Google Scholar
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