Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents.

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Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents. / Due, Brian Lystgaard.

2020. Abstract from Institutseminar (NorS), Denmark.

Research output: Contribution to conferenceConference abstract for conferenceResearch

Harvard

Due, BL 2020, 'Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents.', Institutseminar (NorS), Denmark, 10/01/2020.

APA

Due, B. L. (2020). Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents.. Abstract from Institutseminar (NorS), Denmark.

Vancouver

Due BL. Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents.. 2020. Abstract from Institutseminar (NorS), Denmark.

Author

Due, Brian Lystgaard. / Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents. Abstract from Institutseminar (NorS), Denmark.

Bibtex

@conference{76df39d2f2a44f13866f790f5a587dfa,
title = "Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents.",
abstract = "Now and even more in the future humans will be interacting with robots and virtual digital agents that have conversational capabilities. For a long time, these systems where only developed in experimental settings. But now they are increasingly employed in real life settings (Pitsch, 2016, 2019). In this presentation, I will show some of the issues of interacting with virtual agents that arise when they are employed in the wild. Based on the methodology of video ethnography and multimodal conversation analysis (Goodwin, 2013; Mondada, 2014; B. Due, 2017; B. L. Due et al., 2019), and video data from different research projects concerned with smart glasses, humanoid robots, AI apps and smart home systems, the presentation discuss how far these systems are from being relevant, ratified, conversational agents. ",
author = "Due, {Brian Lystgaard}",
year = "2020",
month = jan,
day = "10",
language = "English",
note = "null ; Conference date: 10-01-2020",

}

RIS

TY - ABST

T1 - Ethnomethodological multimodal conversation analysis: Interacting with AI; robots and virtual agents.

AU - Due, Brian Lystgaard

PY - 2020/1/10

Y1 - 2020/1/10

N2 - Now and even more in the future humans will be interacting with robots and virtual digital agents that have conversational capabilities. For a long time, these systems where only developed in experimental settings. But now they are increasingly employed in real life settings (Pitsch, 2016, 2019). In this presentation, I will show some of the issues of interacting with virtual agents that arise when they are employed in the wild. Based on the methodology of video ethnography and multimodal conversation analysis (Goodwin, 2013; Mondada, 2014; B. Due, 2017; B. L. Due et al., 2019), and video data from different research projects concerned with smart glasses, humanoid robots, AI apps and smart home systems, the presentation discuss how far these systems are from being relevant, ratified, conversational agents.

AB - Now and even more in the future humans will be interacting with robots and virtual digital agents that have conversational capabilities. For a long time, these systems where only developed in experimental settings. But now they are increasingly employed in real life settings (Pitsch, 2016, 2019). In this presentation, I will show some of the issues of interacting with virtual agents that arise when they are employed in the wild. Based on the methodology of video ethnography and multimodal conversation analysis (Goodwin, 2013; Mondada, 2014; B. Due, 2017; B. L. Due et al., 2019), and video data from different research projects concerned with smart glasses, humanoid robots, AI apps and smart home systems, the presentation discuss how far these systems are from being relevant, ratified, conversational agents.

M3 - Conference abstract for conference

Y2 - 10 January 2020

ER -

ID: 236078779