How Language of Interaction Affects the User Perception of a Robot
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F23%3A00370928" target="_blank" >RIV/68407700:21730/23:00370928 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.48550/arXiv.2310.15321" target="_blank" >https://doi.org/10.48550/arXiv.2310.15321</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.48550/arXiv.2310.15321" target="_blank" >10.48550/arXiv.2310.15321</a>
Alternative languages
Result language
angličtina
Original language name
How Language of Interaction Affects the User Perception of a Robot
Original language description
Spoken language is the most natural way for a human to communicate with a robot. It may seem intuitive that a robot should communicate with users in their native language. However, it is not clear if a user’s perception of a robot is affected by the language of interaction. We investigated this question by conducting a study with twenty-three native Czech participants who were also fluent in English. The participants were tasked with instructing the Pepper robot on where to place objects on a shelf. The robot was controlled remotely using the Wizard-of-Oz technique. We collected data through questionnaires, video recordings, and a post-experiment feedback session. The results of our experiment show that people perceive an English-speaking robot as more intelligent than a Czech-speaking robot (z = 18.00, p-value = 0.02). This finding highlights the influence of language on human-robot interaction. Furthermore, we discuss the feedback obtained from the participants via the post-experiment sessions and its implications for HRI design.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Social Robotics, 15th International Conference, ICSR 2023, Doha, Qatar, December 3–7, 2023, Proceedings, Part I
ISBN
978-981-99-8715-3
ISSN
0302-9743
e-ISSN
1611-3349
Number of pages
14
Pages from-to
308-321
Publisher name
Springer Nature Singapore Pte Ltd.
Place of publication
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Event location
Doha
Event date
Dec 3, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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