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Evaluating the robot personality and verbal behavior of domestic robots using video-based studies

Version 4 2024-03-12, 21:16
Version 3 2023-10-29, 18:25
journal contribution
posted on 2024-03-12, 21:16 authored by Michael L. Walters, Manja Lohse, Kerstin Severinson-Eklundh, Marc HanheideMarc Hanheide, Britte Wrede, Dag Sverre Syrdal, Kheng Lee Koay, Anders Green, Helge Huttenrauch, Kerstin Dautenhahn, Gerhard Sagerer
<p>Robots are increasingly being used in domestic environments and should be able to interact with inexperienced users. Human-human interaction and human-computer interaction research findings are relevant, but often limited because robots are different from both humans and computers. Therefore, new human-robot interaction (HRI) research methods can inform the design of robots suitable for inexperienced users. A video-based HRI (VHRI) methodology was here used to carry out a multi-national HRI user study for the prototype domestic robot BIRON (BIelefeld RObot companioN). Previously, the VHRI methodology was used in constrained HRI situations, while in this study HRIs involved a series of events as part of a 'hometour' scenario. Thus, the present work is the first study of this methodology in extended HRI contexts with a multi-national approach. Participants watched videos of the robot interacting with a human actor and rated two robot behaviors (Extrovert and Introvert). Participants' perceptions and ratings of the robot's behaviors differed with regard to both verbal interactions and person following by the robot. The study also confirms that the VHRI methodology provides a valuable means to obtain early user feedback, even before fully working prototypes are available. This can usefully guide the future design work on robots, and associated verbal and non-verbal behaviors.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

Advanced Robotics

Volume

25

Issue

18

Pages/Article Number

2233-2254

Publisher

Taylor & Francis

ISSN

0169-1864

eISSN

1568-5535

Date Submitted

2012-10-26

Date Accepted

2011-12-01

Date of First Publication

2011-12-01

Date of Final Publication

2011-12-01

Date Document First Uploaded

2013-03-13

ePrints ID

6560

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