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Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 30528

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Investigating Breakdowns in Human Robot Interaction: A Conversation Analysis Guided Single Case Study of a Human-Robot Communication in a Museum Environment
In a single case study, we show how a conversation analysis (CA) approach can shed light onto the sequential unfolding of human-robot interaction. Relying on video data, we are able to show that CA allows us to investigate the respective turn-taking systems of humans and a NAO robot in their dialogical dynamics, thus pointing out relevant differences. Our fine grained video analysis points out occurring breakdowns and their overcoming, when humans and a NAO-robot engage in a multimodally uttered multi-party communication during a sports guessing game. Our findings suggest that interdisciplinary work opens up the opportunity to gain new insights into the challenging issues of human robot communication in order to provide resources for developing mechanisms that enable complex human-robot interaction (HRI).
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[1] M. Goodrich & A. Schultz, “Human-Robot Interaction: A Survey”, in Foundation and Trends in Human-Computer Interaction, vol. 1, no 3, 2007, pp. 203-275.
[2] J. Markowitz (ed.), Robots that Talk and Listen. Berlin: De Gruyter, 2015.
[3] H. R. M. Pelikan & M. Broth, “Why that Nao? How Humans Adapt to a Conventional Humanoid Robot in Taking Turns-at-Talk”, in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016, pp. 4921-4932.
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[11] P. ten Have, Doing Conversation Analysis. Los Angeles: Sage Publications, 2007.
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[16] K. Pitsch, R. Gehle & S. Wrede, “Addressing Multiple Participants: A Museum Robot’s Gaze Shapes Visitor Participation”, in Proceedings of ICSR 2013, 2013, pp. 587-588.
[17] B. Arend, “Contribution d’un outil de transcription dans la mise en mots de l’analyse d’un processus de conception collaborative observé dans sa profondeur phénoménale”, inRecherches Qualitatives, Logiciels Pour l’analyse Qualitative: Innovations Techniques et Sociales, vol. 9, 2010, pp.95-108.
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[20] B. Mutlu, S. Andrist & A. Sauppé, “Enabling human-robot dialogue”, in J. Markowitz (ed.), Robots that Talk and Listen. Berlin: De Gruyter, 2015, pp. 81-124.
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