Evidence map›Paper›PMID 24348434›Full record

ArticleFrontiers in psychology2013

Toward understanding social cues and signals in human-robot interaction: effects of robot gaze and proxemic behavior.

Stephen M Fiore, Travis J Wiltshire, Emilio J C Lobato, Florian G Jentsch, Wesley H Huang, Benjamin Axelrod

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
8.0field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 158 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Supporting Artificial Social Intelligence With Theory of Mind.Frontiers in artificial intelligence · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Human Gaze Assisted Artificial Intelligence: A Review.IJCAI : proceedings of the conference · 2020
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Stephen M FioreDepartment of Philosophy, Cognitive Sciences Laboratory, Institute for Simulation and Training, University of Central Florida Orlando, FL, USA ; Institute for Simulation and Training, University of Central Florida Orlando, FL, USA.
Travis J WiltshireInstitute for Simulation and Training, University of Central Florida Orlando, FL, USA.
Emilio J C LobatoInstitute for Simulation and Training, University of Central Florida Orlando, FL, USA.
Florian G JentschInstitute for Simulation and Training, University of Central Florida Orlando, FL, USA ; Department of Psychology, University of Central Florida Orlando, FL, USA.
Wesley H HuangiRobot Corporation, Bedford MA, USA.
Benjamin AxelrodiRobot Corporation, Bedford MA, USA.
University of Central Florida · USiRobot (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As robots are increasingly deployed in settings requiring social interaction, research is needed to examine the social signals perceived by humans when robots display certain social cues. In this paper, we report a study designed to examine how humans interpret social cues exhibited by robots. We first provide a brief overview of perspectives from social cognition in humans and how these processes are applicable to human-robot interaction (HRI). We then discuss the need to examine the relationship between social cues and signals as a function of the degree to which a robot is perceived as a socially present agent. We describe an experiment in which social cues were manipulated on an iRobot Ava(TM) mobile robotics platform in a hallway navigation scenario. Cues associated with the robot's proxemic behavior were found to significantly affect participant perceptions of the robot's social presence and emotional state while cues associated with the robot's gaze behavior were not found to be significant. Further, regardless of the proxemic behavior, participants attributed more social presence and emotional states to the robot over repeated interactions than when they first interacted with it. Generally, these results indicate the importance for HRI research to consider how social cues expressed by a robot can differentially affect perceptions of the robot's mental states and intentions. The discussion focuses on implications for the design of robotic systems and future directions for research on the relationship between social cues and signals.

Indexed as

emotion attributionhuman–robot interactionintention recognitionsocial cuessocial presencesocial signalstheory of mind

Identifiers

PMID24348434
PMCPMC3842160
OpenAlexW2095651203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.