kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Manners Matter: How Robot Politeness Influences Human Risk-Taking and Social Perception
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0009-0002-9627-3531
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8579-1790
2025 (English)In: Procceedings 34th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2025, Institute of Electrical and Electronics Engineers (IEEE) , 2025, p. 1025-1032Conference paper, Published paper (Refereed)
Abstract [en]

Robots are no longer confined to factories; they now collaborate, assist, and engage with people in social environments, making their communication style a crucial factor in human-robot interaction. This study examines whether robots’ (im)politeness affects human risk-taking behavior and social perception, key factors in fostering effective human-robot interaction. In a between-subject experiment, sixty participants interacted with either a polite robot, employing politeness strategies, or a rude robot, using face-threatening acts. Risk-taking behavior was assessed through a button-pressing task that allowed participants to accumulate monetary rewards while risking total loss, and social perception was assessed with the Human-Robot Interaction Evaluation Scale (HRIES). Although politeness did not alter risk-taking, it significantly influenced perception: the polite robot was rated as more sociable and agentic, whereas the rude robot was seen as more disturbing; perceptions of animacy remained unchanged. An exploratory factor analysis refined the Agency scale, raising questions about how users conceptualize robotic autonomy. These findings confirm that politeness enhances social acceptance, but may not universally alter behavior. In social domains like customer service and healthcare, politeness is beneficial, but in financial decision-making contexts where outcomes carry real-world consequences, decision support may require additional strategies, such as assertiveness or personalized feedback.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2025. p. 1025-1032
Keywords [en]
Behavioral sciences, Customer services, Decision making, Human-robot interaction, Medical services, Production facilities, Robots
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:kth:diva-374891DOI: 10.1109/RO-MAN63969.2025.11217830Scopus ID: 2-s2.0-105024543733OAI: oai:DiVA.org:kth-374891DiVA, id: diva2:2025318
Conference
34th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2025, Eindhoven, Netherlands, August 25-29, 2025
Note

Part of ISBN 979-8-3315-8771-0

QC 20260107

Available from: 2026-01-06 Created: 2026-01-06 Last updated: 2026-01-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Stinkeste, CharlotteWikström Kempe, AlbinSkantze, Gabriel

Search in DiVA

By author/editor
Stinkeste, CharlotteWikström Kempe, AlbinSkantze, Gabriel
By organisation
Speech, Music and Hearing, TMH
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 26 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf