Perception of power and distance in human-human and human-robot role-based relations

Lumer E, Buschmeier H (2022)
In: HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. Human-Robot Interaction. Piscataway, NJ: IEEE: 895–899.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Download
OA 166.41 KB
Abstract / Bemerkung
The use and interpretation of social linguistic strategies such as politeness is influenced by multiple factors, e.g., the speaker-hearer relation. Such relations influence an interlocutor's expectations regarding the interaction and thus also its perception. This makes speaker-hearer relations constituting a partner model highly relevant for the user experience in human-robot interaction as well. This paper presents a questionnaire-based study on the perception of human-robot relations in comparison to human-human relations across different roles (e.g., colleague, assistant) and spaces of interaction (home, work, public). It was found that participants perceive robots differently based on space, as they do for human-human relations in corresponding roles. Overall, humans were evaluated to have more power over and more distance to a robot interaction partner compared to another human. Our results provide insights into an intuitive interaction-initial partner model based on roles.
Erscheinungsjahr
2022
Titel des Konferenzbandes
HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
forms.conference.field.series_title_volume.series_title.label
Human-Robot Interaction
Seite(n)
895–899
Konferenz
2022 ACM/IEEE International Conference on Human-Robot Interaction
Konferenzort
Sapporo, Hokkaido, Japan
Konferenzdatum
2022-03-07 – 2022-03-10
Page URI
https://pub.uni-bielefeld.de/record/2960696

Zitieren

Lumer E, Buschmeier H. Perception of power and distance in human-human and human-robot role-based relations. In: HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. Human-Robot Interaction. Piscataway, NJ: IEEE; 2022: 895–899.
Lumer, E., & Buschmeier, H. (2022). Perception of power and distance in human-human and human-robot role-based relations. HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, Human-Robot Interaction, 895–899. Piscataway, NJ: IEEE. https://doi.org/10.5555/3523760.3523900
Lumer, E., and Buschmeier, H. (2022). “Perception of power and distance in human-human and human-robot role-based relations” in HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction Human-Robot Interaction (Piscataway, NJ: IEEE), 895–899.
Lumer, E., & Buschmeier, H., 2022. Perception of power and distance in human-human and human-robot role-based relations. In HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. Human-Robot Interaction. Piscataway, NJ: IEEE, pp. 895–899.
E. Lumer and H. Buschmeier, “Perception of power and distance in human-human and human-robot role-based relations”, HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction, Human-Robot Interaction, Piscataway, NJ: IEEE, 2022, pp.895–899.
Lumer, E., Buschmeier, H.: Perception of power and distance in human-human and human-robot role-based relations. HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. Human-Robot Interaction. p. 895–899. IEEE, Piscataway, NJ (2022).
Lumer, Eleonore, and Buschmeier, Hendrik. “Perception of power and distance in human-human and human-robot role-based relations”. HRI '22: Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction. Piscataway, NJ: IEEE, 2022. Human-Robot Interaction. 895–899.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2022-03-06T17:29:48Z
MD5 Prüfsumme
555ae3cc6078154e7f0229ffc68637ce

Externes Material:
Zusatzmaterial

Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Suchen in

Google Scholar