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How Humans Adapt to a Robot Recipient: An Interaction Analysis Perspective on Human-Robot Interaction
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences. University of Osnabrück.
2015 (English)Independent thesis Basic level (degree of Bachelor), 12 credits / 18 HE creditsStudent thesis
Abstract [en]

This thesis investigates human-robot interaction using an Interaction Analysis methodology. Posing the question how humans manage the interaction with a robot, the study focuses on humans and how they adapt to the robot’s limited conversational and interactional capabilities. As Conversation Analytic research suggests that humans always adjust their actions to a specific recipient, the author assumed to also find this in the interaction with an artificial communicative partner. For this purpose a conventional robot was programmed to play a charade game with human participants. The interaction of the humans with the robot was filmed and analysed within an interaction analytic framework.

The study suggests that humans adapt their recipient design with their changing assumptions about the conversational partner. Starting off with different conversational expectations, participants adapt turn design (word selection, turn size, loudness and prosody) first and turn-taking in a second step. Adaptation to the robot is deployed as a means to accomplish a successful interaction. The detailed study of the human perspective in this interaction can yield conclusions for how robots could be improved to facilitate the interaction. As humans adjust to the interactional limitations with varying speed and ease, the limits to which adaptation is most difficult should be addressed first. 

Place, publisher, year, edition, pages
2015. , 53 p.
Keyword [en]
Human-Robot Interaction, Interaction Analysis, Conversation Analysis, Recipient Design, Turn Design, Turn-taking
National Category
Human Computer Interaction
URN: urn:nbn:se:liu:diva-119510ISRN: LIU-IDA/KOGVET-G--15/003--SEOAI: diva2:823843
Subject / course
Cognitive science
Available from: 2015-06-22 Created: 2015-06-18 Last updated: 2015-06-22Bibliographically approved

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AdaptationToRobotRecipient_Pelikan.pdf(10316 kB)337 downloads
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Pelikan, Hannah
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