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Teammitglied oder Werkzeug – Der Einfluss anthropomorpher Gestaltung in der Mensch-Roboter-Interaktion

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Mensch-Roboter-Kollaboration

Zusammenfassung

Die direkte Zusammenarbeit von Robotern und Menschen gewinnt in privaten, kommerziellen und industriellen Lebensbereichen stetig an Bedeutung. Dabei findet diese Form der Interaktion kooperativ oder kollaborativ unter gemeinsamer Zielsetzung in unmittelbarer räumlicher und zeitlicher Nähe statt. Eine Möglichkeit, die Zusammenarbeit intuitiver und effektiver zu gestalten, bietet die Anwendung anthropomorpher Merkmale auf das Design des Roboters. Doch auch wenn eine anthropomorphe Gestaltung, im Sinne von Form, Kommunikation, Bewegung und Kontext, die Akzeptanz und Koordination fördern kann, bilden sich im Zuge von vermenschlichten Interaktionen neue Herausforderungen. Neben dem Phänomen des „Uncanny Valleys“ und der Problematik des erwartungskonformen Designs, erzeugt vor allem das Spannungsfeld zwischen Funktionalität und Anthropomorphismus eine zentrale Problematik. Dabei zeigt sich in der differenzierten Analyse, dass letztendlich der Kontext der Interaktion entscheidet, inwieweit Anthropomorphismus eingesetzt werden kann, ohne dabei die Zweckgebundenheit des Roboters zu konterkarieren.

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Literatur

  • Asimov, I. (1983). The robots of Dawn. New York: Doubleday.

    Google Scholar 

  • Atmaca, S., Sebanz, N., Prinz, W., & Knoblich, G. (2008). Action co-representation: The joint SNARC effect. Social Neuroscience, 3, 410–420, Kurashiki, Japan.

    Google Scholar 

  • Bartneck, C., & Forlizzi, J. (2004). A design-centred framework for social human-robot interaction. In RO-MAN 2004. 13th IEEE international workshop on robot and human interactive communication (IEEE Catalog No. 04TH8759) (S. 591–594). IEEE, Kurashiki, Japan.

    Google Scholar 

  • Bartneck, C., Kanda, T., Ishiguro, H., & Hagita, N. (2007). Is the uncanny valley an uncanny cliff? In RO-MAN 2007 – The 16th IEEE international symposium on robot and human interactive communication (S. 368–373). IEEE, Jeju, Korea.

    Google Scholar 

  • Bartneck, C., Yogeeswaran, K., Ser, Q. M., Woodward, G., Sparrow, R., Wang, S., & Eyssel, F. (2018, February). Robots and racism. In Proceedings of the 2018 ACM/IEEE international conference on human-robot interaction (S. 196–204). ACM.

    Google Scholar 

  • Breazeal, C., Kidd, C. D., Thomaz, A. L., Hoffman, G., & Berlin, M. (2005). Effects of nonverbal communication on efficiency and robustness in human-robot teamwork. In 2005 IEEE/RSJ international conference on intelligent robots and systems (S. 708–713). IEEE.

    Google Scholar 

  • Broekens, J., Heerink, M., & Rosendal, H. (2009). Assistive social robots in elderly care: A review. Gerontechnology, 8(2), 94–103.

    Article  Google Scholar 

  • Clark, H. H. (1996). Using language. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  • Darling, K. (2017). „Who’s Johnny?“ Anthropomorphic framing in human-robot: Interaction, integration, and policy. In Robot ethics 2.0: From autonomous cars to artificial intelligence (S. 173–188). Oxford: Oxford University Press.

    Google Scholar 

  • Darling, K., Nandy, P., & Breazeal, C. (2015). Empathic concern and the effect of stories in human-robot interaction. In 2015 24th IEEE international symposium on robot and human interactive communication (RO-MAN) (S. 770–775).

    Google Scholar 

  • Duffy, B. R. (2003). Anthropomorphism and the social robot. Robotics and Autonomous Systems, 42(3–4), 177–190.

    Article  Google Scholar 

  • Eyssel, F., De Ruiter, L., Kuchenbrandt, D., Bobinger, S., & Hegel, F. (2012). ‚If you sound like me, you must be more human‘: On the interplay of robot and user features on human-robot acceptance and anthropomorphism. In 2012 7th ACM/IEEE international conference on human-robot interaction (HRI) (S. 125–126). IEEE.

    Google Scholar 

  • Fong, T., Nourbakhsh, I., & Dautenhahn, K. (2003). A survey of socially interactive robots. Robotics and Autonomous Systems, 42(3–4), 143–166.

    Article  Google Scholar 

  • Forlizzi, J., & DiSalvo, C. (2006). Service robots in the domestic environment: A study of the Roomba vacuum in the home. In Proceedings of the 1st ACM SIGCHI/SIGART conference on human-robot interaction (S. 258–265). ACM.

    Google Scholar 

  • Goodrich, M. A., & Schultz, A. C. (2007). Human-robot interaction: A survey. Foundations and Trends in Human-Computer Interaction, 1(3), 203–275.

    Article  Google Scholar 

  • Haring, K. S., Watanabe, K., & Mougenot, C. (2013). The influence of robot appearance on assessment. In 2013 8th ACM/IEEE international conference on human-robot interaction (HRI) (S. 131–132). IEEE.

    Google Scholar 

  • IFR. (2018). World robotics report, 2018. International Federation of Robotics.

    Google Scholar 

  • Jeong, S., Breazeal, C., Logan, D., & Weinstock, P. (2017). Huggable: Impact of embodiment on promoting verbal and physical engagement for young pediatric inpatients. In 2017 26th IEEE international symposium on robot and human interactive communication (RO-MAN) (S. 121–126). IEEE.

    Google Scholar 

  • Kachouie, R., Sedighadeli, S., Khosla, R., & Chu, M. T. (2014). Socially assistive robots in elderly care: A mixed-method systematic literature review. International Journal of Human-Computer Interaction, 30(5), 369–393.

    Article  Google Scholar 

  • Kanero, J., Geçkin, V., Oranç, C., Mamus, E., Küntay, A. C., & Göksun, T. (2018). Social robots for early language learning: Current evidence and future directions. Child Development Perspectives, 12(3), 146–151.

    Article  Google Scholar 

  • Keay, A. (2011). Emergent phenomena of robot competitions: Robot identity construction and naming. In Advanced Robotics and its Social Impacts (S. 12–15). IEEE.

    Google Scholar 

  • Khan, Z. (1998). Attitudes towards intelligent service robots (Bd. 17). Stockholm: NADA KTH.

    Google Scholar 

  • Kidd, C. D., Taggart, W., & Turkle, S. (2006). A sociable robot to encourage social interaction among the elderly. In Proceedings 2006 IEEE international conference on robotics and automation, 2006. ICRA 2006. (S. 3972–3976). IEEE.

    Google Scholar 

  • Knoblich, G., Butterfill, S., & Sebanz, N. (2011). Psychological research on joint action: Theory and data. In Psychology of learning and motivation (Bd. 54, S. 59–101). Cambridge: Academic Press.

    Google Scholar 

  • Kuz, S., Mayer, M. P., Müller, S., & Schlick, C. M. (2013). Using anthropomorphism to improve the human-machine interaction in industrial environments (part I). In International conference on digital human modeling and applications in health, safety, ergonomics and risk management (S. 76–85). Berlin/Heidelberg: Springer.

    Google Scholar 

  • Lee, K. W., Kim, H. R., Yoon, W. C., Yoon, Y. S., & Kwon, D. S. (2005). Designing a human-robot interaction framework for home service robot. In ROMAN 2005. IEEE international workshop on robot and human interactive communication, 2005. (S. 286–293). IEEE.

    Google Scholar 

  • Mathur, M. B., & Reichling, D. B. (2016). Navigating a social world with robot partners: A quantitative cartography of the Uncanny Valley. Cognition, 146, 22–32.

    Article  Google Scholar 

  • Mayer, M. P., Kuz, S., & Schlick, C. M. (2013). Using anthropomorphism to improve the human-machine interaction in industrial environments (part II). In International conference on digital human modeling and applications in health, safety, ergonomics and risk management (S. 93–100). Berlin/Heidelberg: Springer.

    Google Scholar 

  • Moon, A., Troniak, D. M., Gleeson, B., Pan, M. K., Zheng, M., Blumer, B. A., MacLean, K., & Croft, E. A. (2014). Meet me where i’m gazing: How shared attention gaze affects human-robot handover timing. In Proceedings of the 2014 ACM/IEEE international conference on human-robot interaction (S. 334–341). ACM.

    Google Scholar 

  • Mori, M. (1970). Bukimi no tani [the uncanny valley]. Energy, 7, 33–35.

    Google Scholar 

  • Mubin, O., Stevens, C. J., Shahid, S., Al Mahmud, A., & Dong, J. J. (2013). A review of the applicability of robots in education. Journal of Technology in Education and Learning, 1(209–0015), 13.

    Google Scholar 

  • Nijssen, S. R., Müller, B. C., Baaren, R. B. V., & Paulus, M. (2019). Saving the robot or the human? Robots who feel deserve moral care. Social Cognition, 37(1), 41–S2.

    Article  Google Scholar 

  • Onnasch, L., & Roesler, E. (2019). Anthropomorphizing robots: The effect of framing in human-robot cooperation. In Proceedings of the 63rd annual meeting of the human factors & ergonomics society. Santa Monica: Human Factors Society. https://doi.org/10.14279/depositonce-9020.

    Chapter  Google Scholar 

  • Onnasch, L., & Roesler, E. (eingereicht). A taxonomy to structure and analyze human-robot interaction. International Journal of Social Robotics.

    Google Scholar 

  • Onnasch, L., Maier, X., & Jürgensohn, T. (2016) Mensch-Roboter-Interaktion – Eine Taxonomie für alle Anwendungsfälle. baua: Fokus, Bundesanstalt für Arbeitsschutz und Arbeitsmedizin (1. Aufl., S. 1–12) https://doi.org/10.21934/baua:fokus20160630

  • Ozkil, A. G., Fan, Z., Dawids, S., Aanes, H., Kristensen, J. K., & Christensen, K. H. (2009). Service robots for hospitals: A case study of transportation tasks in a hospital. In 2009 IEEE international conference on automation and logistics (S. 289–294). IEEE.

    Google Scholar 

  • Pearson, Y., & Borenstein, J. (2014). Creating „companions“ for children: The ethics of designing esthetic features for robots. AI & society, 29(1), 23–31.

    Article  Google Scholar 

  • Riek, L. D., Rabinowitch, T. C., Chakrabarti, B., & Robinson, P. (2009). How anthropomorphism affects empathy toward robots. In Proceedings of the 4th ACM/IEEE international conference on human robot interaction (S. 245–246). ACM.

    Google Scholar 

  • Rizzolatti, G., & Craighero, L. (2004). The mirror-neuron system. Annual Reviews of Neuroscience, 27, 169–192.

    Article  Google Scholar 

  • Rosheim, M. E. (2006). Leonardo’s Lost Robot. Berlin: Springer.

    Google Scholar 

  • Schmidtler, J., Knott, V., Hölzel, C., & Bengler, K. (2015). Human centered assistance applications for the working environment of the future. Occupational Ergonomics, 12(3), 83–95.

    Article  Google Scholar 

  • Scholtz, J. (2002). Human-robot interactions: Creating synergistic cyber forces. In Multi-robot systems: From swarms to intelligent automata (S. 177–184). Dordrecht: Springer.

    Chapter  Google Scholar 

  • Sebanz, N., & Knoblich, G. (2009). Prediction in joint action: What, when, and where. Topics in Cognitive Science, 1(2), 353–367.

    Article  Google Scholar 

  • Sebanz, N., Knoblich, G., & Prinz, W. (2003). Representing others’ actions: Just like one’s own? Cognition, 88, B11–B21.

    Article  Google Scholar 

  • Sebanz, N., Knoblich, G., & Prinz, W. (2005). How two share a task. Journal of Experimental Psychology: Human Perception and Performance, 31, 1234–1246.

    Google Scholar 

  • Sharkey, A., & Sharkey, N. (2012). Granny and the robots: Ethical issues in robot care for the elderly. Ethics and Information Technology, 14(1), 27–40.

    Article  Google Scholar 

  • Staudte, M., & Crocker, M. W. (2011). Investigating joint attention mechanisms through spoken human–robot interaction. Cognition, 120(2), 268–291.

    Article  Google Scholar 

  • Tay, B., Jung, Y., & Park, T. (2014). When stereotypes meet robots: The double-edge sword of robot gender and personality in human–robot interaction. Computers in Human Behavior, 38, 75–84.

    Article  Google Scholar 

  • Zhu, B., & Kaber, D. (2012). Effects of etiquette strategy on human–robot interaction in a simulated medicine delivery task. Intelligent Service Robotics, 5(3), 199–210.

    Article  Google Scholar 

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Correspondence to Linda Onnasch .

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Roesler, E., Onnasch, L. (2020). Teammitglied oder Werkzeug – Der Einfluss anthropomorpher Gestaltung in der Mensch-Roboter-Interaktion. In: Buxbaum, HJ. (eds) Mensch-Roboter-Kollaboration. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-28307-0_11

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