Szczegóły publikacji
Opis bibliograficzny
How language of interaction affects the user perception of a robot / Barbara Sienkiewicz, Gabriela Sejnova, Paul GAJEWSKI, Michal Vavrecka, Bipin Indurkhya // W: Social Robotics : 15th International Conference ICSR 2023 : Doha, Qatar, December 3–7, 2023 : proceedings, Pt. 1 / eds. Abdulaziz Al Ali, [et al.]. — Singapore : Springer Nature Singapore, cop. 2024. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; vol. 14453. Lecture Notes in Artificial Intelligence). — ISBN: 978-981-99-8714-6; e-ISBN: 978-981-99-8715-3. — S. 308–321. — Bibliogr., Abstr. — Publikacja dostępna online od: 2023-12-03
Autorzy (5)
- Sienkiewicz Barbara
- Sejnova Gabriela
- AGHGajewski Paweł
- Vavrecka Michal
- Indurkhya Bipin
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 150944 |
|---|---|
| Data dodania do BaDAP | 2024-02-02 |
| DOI | 10.1007/978-981-99-8715-3_26 |
| Rok publikacji | 2024 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Lecture Notes in Computer Science |
Abstract
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.