Cited by 125Social Robot Interaction and HRIAI in Service InteractionsTechnology Use by Older Adults

The Influence of a Robot's Social Abilities on Acceptance by Elderly Users

Heerink, Marcel, Krose, Ben, Evers, Vanessa, Wielinga, Bob·2006·ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication

Abstract

This study examines the influence of perceived social abilities of a robot on user's attitude towards and acceptance of the robot. An interface robot with simulated conversational capabilities was used in a Wizard of Oz experiment with two conditions: a more socially communicative (the robot made use of a larger set of social abilities in interaction) and a less socially communicative interface. Participants (n=40) were observed in 5 minute interaction sessions and were asked to answer questions on perceived social abilities and technology acceptance. Results show that participants who were confronted with the more socially communicative version of the robot felt more comfortable and were more expressive in communicating with it. This suggests that the more socially communicative condition would be more likely to be accepted as a conversational partner. However, the findings did not show a significant correlation between perceived social abilities and technology acceptance

Integrity signals

Registry

Crossref · 10.1109/roman.2006.314442

Cites

21 of 21 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Proper design allows smooth interactions, and substantial HRI research exists on robot-related factors affecting trust in interaction design, such as social skills, robot role, and communication style.

    “Proper design allows for smooth interactions and substantial research is available in HRI on understanding robot-related factors affecting trust in the interaction design, such as social skills [35], robot role [27], and communication style [60].”

Cites

Flagged first, then by citations

Research works printed but not linked: 7

  1. gresham, 1990, Social abilities rating system Manua
  2. forlizzi, 2004, Assistive Robotics and an Ecology of Elderly Living Independently in Their Homes, Journal of HCI Special Issue on Human-Robot Interaction, 19
  3. taggart, 2005, An interactive robot in a nursing home: Preliminary remarks, Towards Social Mechanisms of Android Science
  4. pollack, 2005, Intelligent Technology for an Aging Population: The Use of AI to Assist Elderly with Cognitive Impairment, AI Magazine
  5. axelrod, 2005, Identifying Affectemes: Transcribing Conversational Behaviour, Proceedings of the Symposium on Conversational Informatics for Supporting Social Intelligence and Interaction
  6. sidner, 2005, Engagement During Dialogues with Robots AAAI Spring Symposia
  7. heylen, 2006, Determining what people feel and think when interacting with humans and machines: notes on corpus collection and annotation, Proceedings 1st California Conference on Recent Advances in Engineering Mechanics

Cited by

Sorted by citations

Authors
Heerink, M., Krose, B., Evers, V., & Wielinga, B.
Affiliations
University of Amsterdam (NL)
Venue
ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication
Publisher
IEEE
Published
2006-09
Pages
521-526
ISSN
1944-9437 (ISSN-L)
OpenAlex
W2016671493
Cited by
125
References
21
Citations by year
2026: 2 · 2025: 6 · 2024: 2 · 2023: 5 · 2022: 4 · 2021: 9 · 2020: 6 · 2019: 5 · 2018: 10 · 2017: 8 · 2016: 5 · 2015: 4 · 2014: 12 · 2013: 10 · 2012: 11
FWCI
9.16
Type
conference paper
Language
en
Open access
closed
Locations
  • IEEE RO-MAN (publishedVersion)
  • UvA-DARE (University of Amsterdam) (publishedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Funders
Canadian Institute for Theoretical Astrophysics
Topics
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Demography › Technology Use by Older Adults
Keywords
social robots, elderly users, technology acceptance, conversational robots, Wizard of Oz, human-robot interaction, user attitudes, social communication

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review